oracular (3) openslide-formats.3.gz

Provided by: libopenslide-dev_3.4.1+dfsg-7build2_amd64 bug

NAME

       openslide-formats - Reference supported formats

DESCRIPTION

LIST OF KNOWN PROPERTIES

   Properties generated by OpenSlide
       openslide.background-color
           The background color of the slide, given as an RGB hex triplet. This property is not always present.

       openslide.bounds-height
           The height of the rectangle bounding the non-empty region of the slide. This property is not always
           present.

       openslide.bounds-width
           The width of the rectangle bounding the non-empty region of the slide. This property is not always
           present.

       openslide.bounds-x
           The X coordinate of the rectangle bounding the non-empty region of the slide. This property is not
           always present.

       openslide.bounds-y
           The Y coordinate of the rectangle bounding the non-empty region of the slide. This property is not
           always present.

       openslide.comment
           A free-form text comment.

       openslide.mpp-x
           Microns per pixel in the X dimension of level 0. May not be present or accurate.

       openslide.mpp-y
           Microns per pixel in the Y dimension of level 0. May not be present or accurate.

       openslide.objective-power
           Magnification power of the objective. Often inaccurate; sometimes missing.

       openslide.quickhash-1
           A non-cryptographic hash of a subset of the slide data. It can be used to uniquely identify a
           particular virtual slide, but cannot be used to detect file corruption or modification.

       openslide.vendor
           The name of the vendor backend.

   Properties for TIFF-based formats
       tiff.Artist
           The contents of the TIFF Artist tag.

       tiff.Copyright
           The contents of the TIFF Copyright tag.

       tiff.DateTime
           The contents of the TIFF DateTime tag.

       tiff.DocumentName
           The contents of the TIFF DocumentName tag.

       tiff.HostComputer
           The contents of the TIFF HostComputer tag.

       tiff.ImageDescription
           The contents of the TIFF ImageDescripton tag.

       tiff.Make
           The contents of the TIFF Make tag.

       tiff.Model
           The contents of the TIFF Model tag.

       tiff.ResolutionUnit
           The contents of the TIFF ResolutionUnit tag.

       tiff.Software
           The contents of the TIFF Software tag.

       tiff.XPosition
           The contents of the TIFF XPosition tag.

       tiff.XResolution
           The contents of the TIFF XResolution tag.

       tiff.YPosition
           The contents of the TIFF YPosition tag.

       tiff.YResolution
           The contents of the TIFF YResolution tag.

   Vendor-specific properties
       A list of vendor-specific properties can be found on the pages for each vendor format[1].

APERIO FORMAT

       Format
           single-file pyramidal tiled TIFF, with non-standard metadata and compression

       File extensions
           .svs, .tif

       OpenSlide vendor backend
           aperio

   Vendor Documentation
       http://www.aperio.com/documents/api/Aperio_Digital_Slides_and_Third-party_data_interchange.pdf

   Detection
       Aperio slides are stored in single-file TIFF format. OpenSlide will detect a file as Aperio if:

        1. The file is TIFF.

        2. The initial image is tiled.

        3. The ImageDescription tag starts with Aperio.

   Relevant TIFF tags
       ┌─────────────────┬───────────────────────────────────────┐
       │TagDescription                           │
       ├─────────────────┼───────────────────────────────────────┤
       │ImageDescription │ Stores some important key-value pairs │
       │                 │ and other information, see below      │
       ├─────────────────┼───────────────────────────────────────┤
       │Compression      │ May be 33003 or 33005, which          │
       │                 │ represent specific kinds of JPEG 2000 │
       │                 │ compression, see below                │
       └─────────────────┴───────────────────────────────────────┘

   Extra data stored in ImageDescription
       For tiled images, the ImageDescription tag contains some dimensional downsample information as well as
       what look like offsets. Additionally, vertical line-delimited key-value pairs are stored, in at least the
       full-resolution image. A key-value pair is equals-delimited. These key-values are stored as properties
       starting with “aperio.”. Currently, OpenSlide does not use any of the information present in these
       key-value fields.

       For stripped images, the ImageDescription tag may contain a name, followed by a carriage return. This is
       used for naming the associated images. The second image in the file does not have a name, though it is an
       associated image.

   TIFF Image Directory Organization
       http://www.aperio.com/documents/api/Aperio_Digital_Slides_and_Third-party_data_interchange.pdf page 14:

       The first image in an SVS file is always the baseline image (full resolution). This image is always
       tiled, usually with a tile size of 240x240 pixels. The second image is always a thumbnail, typically with
       dimensions of about 1024x768 pixels. Unlike the other slide images, the thumbnail image is always
       stripped. Following the thumbnail there may be one or more intermediate “pyramid” images. These are
       always compressed with the same type of compression as the baseline image, and have a tiled organization
       with the same tile size.

       Optionally at the end of an SVS file there may be a slide label image, which is a low resolution picture
       taken of the slide’s label, and/or a macro camera image, which is a low resolution picture taken of the
       entire slide. The label and macro images are always stripped.

   JPEG 2000 (compression types 33003 or 33005)
       Some Aperio files use compression type 33003 or 33005. Images using this compression need to be decoded
       as a JPEG 2000 codestream. For 33003: YCbCr format, possibly with a chroma subsampling of 4:2:2. For
       33005: RGB format. Note that the TIFF file may not encode the colorspace or subsampling parameters in the
       PhotometricInterpretation field, nor the YCbCrSubsampling field, even though the TIFF standard seems to
       require this. The correct subsampling can be found in the JPEG 2000 codestream.

   Associated Images
       thumbnail
           the second image in the file

       label
           optional, the name “label” is given in ImageDescription

       macro
           optional, the name “macro” is given in ImageDescription

   Known Properties
       All key-value data encoded in the ImageDescription TIFF field is represented as properties prefixed with
       “aperio.”.

       openslide.mpp-x
           normalized aperio.MPP

       openslide.mpp-y
           normalized aperio.MPP

       openslide.objective-power
           normalized aperio.AppMag

   Test Data
       http://openslide.cs.cmu.edu/download/openslide-testdata/Aperio/

HAMAMATSU FORMAT

       Format
           multi-file JPEG/NGR with proprietary metadata and index file formats, and single-file TIFF-like
           format with proprietary metadata

       File extensions
           .vms, .vmu, .ndpi

       OpenSlide vendor backend
           hamamatsu

   Detection
       OpenSlide will detect a file as Hamamatsu if:

        1. The file given is a INI-style text file.

        2. It has a [Virtual Microscope Specimen] (VMS) or [Uncompressed Virtual Microscope Specimen] (VMU)
           group.

        3. If VMS, there are at least 1 row and 1 column of JPEG images (NoJpegColumns and NoJpegRows).

       or if:

        1. The file has a TIFF directory structure.

        2. TIFF tag 65420 is present.

   Overview
       The Hamamatsu format has three variants. VMS and VMU consist of an index file, 2 or more image files, and
       (in the case of VMS) an “optimisation” file. NDPI consists of a single TIFF-like file with some custom
       TIFF tags. VMS and NDPI contain JPEG images; VMU contains NGR images (a custom uncompressed format).

       Multiple focal planes are ignored, only focal plane 0 is read.

       JPEG does not allow for files larger than 65535 pixels on a side. In VMS, multiple JPEG files are used to
       encode large images. To avoid having many files, VMS uses close to maximum size (65K by 65K) JPEG files.
       NDPI, instead, stuffs large levels into a single JPEG and sets the overflowed width/height fields to 0.

       Unfortunately, JPEG provides very poor support for random-access decoding of parts of a file. To get
       around this, JPEG restart markers are placed at regular intervals, and these offsets are specified in the
       optimisation file (in VMS) or in a TIFF tag (in NDPI). With restart markers identified, OpenSlide can
       treat JPEG as a tiled format, where the height is the height of an MCU row, and the width is the number
       of MCUs per row divided by the restart marker interval times the width of an MCU. (This often leads to
       oddly-shaped and inefficient tiles of 4096x8, for example.)

       Unfortunately, the VMS optimisation file does not give the location of every restart marker, only the
       ones found at the beginning of an MCU row. It also seems that the file ends early, and does not give the
       location of the restart marker at the last MCU row of the last image file.

       Thus, the optimisation file can only be taken as a hint, and cannot be trusted. The entire set of JPEG
       files must be scanned for restart markers in order to facilitate random access. OpenSlide does this
       lazily as needed, and also in a background thread that runs only when OpenSlide is otherwise idle.

       The VMS map file is a lower-resolution version of the other images, and can be used to make a 2-level
       JPEG pyramid. JPEG also allows for lower-resolution decoding, so further pyramid levels are synthesized
       from each JPEG file.

   VMS File
       The .vms file is the main index file for the VMS format. It is a Windows INI-style key-value pair file,
       with sections. Only keys in the Virtual Microscope Specimen group are read by OpenSlide.

       Here are known keys from the file:

       ┌───────────────────────┬───────────────────────────────────────┐
       │KeyDescription                           │
       ├───────────────────────┼───────────────────────────────────────┤
       │NoLayers               │ Number of layers, currently must be 1 │
       │                       │ to be accepted                        │
       ├───────────────────────┼───────────────────────────────────────┤
       │NoJpegColumns          │ Number of JPEG files across, given in │
       │                       │ ImageFile attributes                  │
       ├───────────────────────┼───────────────────────────────────────┤
       │NoJpegRows             │ Number of JPEG files down, given in   │
       │                       │ ImageFile attributes                  │
       ├───────────────────────┼───────────────────────────────────────┤
       │ImageFile              │ Semantically equivalent to            │
       │                       │ ImageFile(0,0,0), though not          │
       │                       │ specified that way. The image in      │
       │                       │ position (0,0,0) of the set of images │
       ├───────────────────────┼───────────────────────────────────────┤
       │ImageFile(x,y)         │ Semantically equivalent to            │
       │                       │ ImageFile(0,x,y), though not          │
       │                       │ specified that way. The image in      │
       │                       │ position (0,x,y) of the set of images │
       ├───────────────────────┼───────────────────────────────────────┤
       │ImageFile(z,x,y)       │ Where x and y are non-negative        │
       │                       │ integers. Both x and y cannot be 0. z │
       │                       │ is a positive integer. These are the  │
       │                       │ images that make up the virtual       │
       │                       │ slide, as a concatenation of JPEG     │
       │                       │ images. x and y specify the location  │
       │                       │ of each JPEG, z specifies the focal   │
       │                       │ plane                                 │
       ├───────────────────────┼───────────────────────────────────────┤
       │MapFile                │ A lower-resolution version of all the │
       │                       │ ImageFiles                            │
       ├───────────────────────┼───────────────────────────────────────┤
       │OptimisationFile       │ File specifying some of the restart   │
       │                       │ marker offsets in each ImageFile      │
       ├───────────────────────┼───────────────────────────────────────┤
       │AuthCode               │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │SourceLens             │ Apparently the objective power        │
       ├───────────────────────┼───────────────────────────────────────┤
       │PhysicalWidth          │ Width of the main image in nm         │
       ├───────────────────────┼───────────────────────────────────────┤
       │PhysicalHeight         │ Height of the main image in nm        │
       ├───────────────────────┼───────────────────────────────────────┤
       │LayerSpacing           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │MacroImage             │ Image file for the “macro” associated │
       │                       │ image                                 │
       ├───────────────────────┼───────────────────────────────────────┤
       │PhysicalMacroWidth     │ Width of the macro image in nm        │
       ├───────────────────────┼───────────────────────────────────────┤
       │PhysicalMacroHeight    │ Height of the macro image in nm,      │
       │                       │ sometimes with a trailing semicolon   │
       ├───────────────────────┼───────────────────────────────────────┤
       │XOffsetFromSlideCentre │ Distance in X from the center of the  │
       │                       │ entire slide (i.e., the macro image)  │
       │                       │ to the center of the main image, in   │
       │                       │ nm                                    │
       ├───────────────────────┼───────────────────────────────────────┤
       │YOffsetFromSlideCentre │ Distance in Y from the center of the  │
       │                       │ entire slide to the center of the     │
       │                       │ main image, in nm                     │
       └───────────────────────┴───────────────────────────────────────┘

   VMU File
       The .vmu file is the main index file for the VMU format. Only keys in the Uncompressed Virtual Microscope
       Specimen group are read by OpenSlide.

       Here are known keys from the file:

       ┌───────────────────────┬───────────────────────────────────────┐
       │KeyDescription                           │
       ├───────────────────────┼───────────────────────────────────────┤
       │NoLayers               │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │ImageFile              │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │ImageFile(x,y)         │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │ImageFile(z,x,y)       │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │MapFile                │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │MapScale               │ Seems to be the downsample factor of  │
       │                       │ the map                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │AuthCode               │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │SourceLens             │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │PixelWidth             │ Width of the image in pixels          │
       ├───────────────────────┼───────────────────────────────────────┤
       │PixelHeight            │ Height of the image in pixels         │
       ├───────────────────────┼───────────────────────────────────────┤
       │PhysicalWidth          │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │PhysicalHeight         │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │LayerSpacing           │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │LayerOffset            │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │MacroImage             │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │PhysicalMacroWidth     │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │PhysicalMacroHeight    │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │XOffsetFromSlideCentre │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │YOffsetFromSlideCentre │ (see VMS above)                       │
       ├───────────────────────┼───────────────────────────────────────┤
       │Reference              │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BitsPerPixel           │ Bits per pixel, currently expected to │
       │                       │ be 36                                 │
       ├───────────────────────┼───────────────────────────────────────┤
       │PixelOrder             │ Currently expected to be RGB          │
       ├───────────────────────┼───────────────────────────────────────┤
       │Creator                │ String describing the software        │
       │                       │ creating this image                   │
       ├───────────────────────┼───────────────────────────────────────┤
       │IlluminationMode       │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │ExposureMultiplier     │ Unknown, possibly the multiplier used │
       │                       │ to scale to 15 bits?                  │
       ├───────────────────────┼───────────────────────────────────────┤
       │GainRed                │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │GainGreen              │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │GainBlue               │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocalPlaneTolerance    │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │NMP                    │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │MacroIllumination      │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusOffset            │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │RefocusInterval        │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │CubeName               │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │HardwareModel          │ Name of the hardware                  │
       ├───────────────────────┼───────────────────────────────────────┤
       │HardwareSerial         │ Serial number of the hardware         │
       ├───────────────────────┼───────────────────────────────────────┤
       │NoFocusPoints          │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint0X           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint0Y           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint0Z           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint1X           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint1Y           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint1Z           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint2X           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint2Y           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint2Z           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint3X           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint3Y           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │FocusPoint3Z           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │NoBlobPoints           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobPoint0Blob         │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobPoint0FocusPoint   │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobPoint1Blob         │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobPoint1FocusPoint   │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobPoint2Blob         │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobPoint2FocusPoint   │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobPoint3Blob         │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobPoint3FocusPoint   │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobMapWidth           │ Unknown                               │
       ├───────────────────────┼───────────────────────────────────────┤
       │BlobMapHeight          │ Unknown                               │
       └───────────────────────┴───────────────────────────────────────┘

   NDPI File
       NDPI uses a TIFF-like structure, but libtiff cannot read the headers of an NDPI file. This is because
       NDPI specifies the RowsPerStrip as the height of the file, and after doing out the multiplication, this
       typically overflows libtiff and it refuses to open the file. Also, the TIFF tags are not stored in sorted
       order.

       NDPI stores an image pyramid in TIFF directory entries. In some files, the lower-resolution pyramid
       levels contain no restart markers. The macro image, and sometimes an active-region map, seems to come
       last.

       JPEG files in NDPI are not necessarily valid. If ImageWidth or ImageHeight exceeds the JPEG limit of
       65535, then the width or height as stored in the JPEG file is 0. libjpeg will refuse to read the header
       of such a file, so the JPEG data stream must be altered when fed into libjpeg.

       NDPI is based on the classic TIFF format, which does not support files larger than 4 GB. However, NDPI
       files can be larger than 4 GB. NDPI generally handles this by overflowing the corresponding TIFF fields,
       requiring the reader to guess the high-order bits. This affects TIFF Value Offsets with pointers to
       out-of-line values, as well as the value of the StripOffsets field. Some TIFF fields (e.g.  Software)
       have the same Value Offset in every directory; for these, no concatenation of high-order bits is
       necessary. For the others (primarily field 65426) it seems reasonable to select high-order bits which
       place the value at the largest offset below the directory itself, since the TIFF directory is positioned
       after the data it points to. NDPI always stores next-directory offsets (in the TIFF header and at the end
       of each directory) as 64-bit quantities, even though TIFF specifies them as 32 bits; this is possible
       because the TIFF standard places them at the end of their parent data structures.

       It is not clear whether NDPI can support individual directories larger than 4 GB. Such files would
       require additional inferences for the StripByteCounts field, for Value Offsets that are identical across
       directories, and for the optimisation entries.

       Here are the observed TIFF tags:

       ┌────────────────┬───────────────────────────────────────┐
       │TagDescription                           │
       ├────────────────┼───────────────────────────────────────┤
       │ImageWidth      │ Width of the image                    │
       ├────────────────┼───────────────────────────────────────┤
       │ImageHeight     │ Height of the image                   │
       ├────────────────┼───────────────────────────────────────┤
       │Make            │ “Hamamatsu”                           │
       ├────────────────┼───────────────────────────────────────┤
       │Model           │ “NanoZoomer” or “C9600-12”, etc       │
       ├────────────────┼───────────────────────────────────────┤
       │XResolution     │ Seemingly correct X resolution, when  │
       │                │ interpreted with ResolutionUnit       │
       ├────────────────┼───────────────────────────────────────┤
       │YResolution     │ Seemingly correct Y resolution, when  │
       │                │ interpreted with ResolutionUnit       │
       ├────────────────┼───────────────────────────────────────┤
       │ResolutionUnit  │ Seemingly correct resolution unit     │
       ├────────────────┼───────────────────────────────────────┤
       │Software        │ “NDP.scan”, sometimes with a version  │
       │                │ number                                │
       ├────────────────┼───────────────────────────────────────┤
       │StripOffsets    │ The offset of the JPEG file for this  │
       │                │ layer                                 │
       ├────────────────┼───────────────────────────────────────┤
       │StripByteCounts │ The length of the JPEG file for this  │
       │                │ layer                                 │
       ├────────────────┼───────────────────────────────────────┤
       │65420           │ Always exists, always 1.  File format │
       │                │ version?                              │
       ├────────────────┼───────────────────────────────────────┤
       │65421           │ SourceLens, correctly downsampled for │
       │                │ each entry. -1 for macro image, -2    │
       │                │ for a map of non-empty regions.       │
       ├────────────────┼───────────────────────────────────────┤
       │65422           │ XOffsetFromSlideCentre                │
       ├────────────────┼───────────────────────────────────────┤
       │65423           │ YOffsetFromSlideCentre                │
       ├────────────────┼───────────────────────────────────────┤
       │65424           │ Seemingly the Z offset from the       │
       │                │ center focal plane (in nm?)           │
       ├────────────────┼───────────────────────────────────────┤
       │65425           │ Unknown, always 0?                    │
       ├────────────────┼───────────────────────────────────────┤
       │65426           │ Optimisation entries, as above        │
       ├────────────────┼───────────────────────────────────────┤
       │65427           │ Reference                             │
       ├────────────────┼───────────────────────────────────────┤
       │65428           │ Unknown, AuthCode?                    │
       ├────────────────┼───────────────────────────────────────┤
       │65430           │ Unknown, have seen 0.0                │
       ├────────────────┼───────────────────────────────────────┤
       │65433           │ Unknown, I have seen 1500 in this tag │
       ├────────────────┼───────────────────────────────────────┤
       │65439           │ Unknown, perhaps some polygon ROI?    │
       ├────────────────┼───────────────────────────────────────┤
       │65440           │ Unknown, I have seen this: <0 0 0 1 0 │
       │                │ 2 0 3 0 4 0 5 0 6 0 7 0 8 1 9 1 10 1  │
       │                │ 11 1 12 1 13 1 14 1 15 1 16 1 17>     │
       ├────────────────┼───────────────────────────────────────┤
       │65441           │ Unknown, always 0?                    │
       ├────────────────┼───────────────────────────────────────┤
       │65442           │ Scanner serial number                 │
       ├────────────────┼───────────────────────────────────────┤
       │65443           │ Unknown, have seen 0 or 16            │
       ├────────────────┼───────────────────────────────────────┤
       │65444           │ Unknown, always 80?                   │
       ├────────────────┼───────────────────────────────────────┤
       │65445           │ Unknown, have seen 0, 2, 10           │
       ├────────────────┼───────────────────────────────────────┤
       │65446           │ Unknown, always 0?                    │
       ├────────────────┼───────────────────────────────────────┤
       │65449           │ ASCII metadata block, key=value       │
       │                │ pairs, not always present             │
       ├────────────────┼───────────────────────────────────────┤
       │65455           │ Unknown, have seen 13                 │
       ├────────────────┼───────────────────────────────────────┤
       │65456           │ Unknown, have seen 101                │
       ├────────────────┼───────────────────────────────────────┤
       │65457           │ Unknown, always 0?                    │
       ├────────────────┼───────────────────────────────────────┤
       │65458           │ Unknown, always 0?                    │
       └────────────────┴───────────────────────────────────────┘

   Optimisation File (only for VMS)
       The optimisation file contains a list of 32- (or 64- or 320- ?) bit little endian values, giving the file
       offset into an MCU row, each offset starts at a 40-byte alignment, and the last row (of the entire file,
       not each image) seems to be missing. The offsets are all packed into 1 file, even with multiple images.
       The order of images is left-to-right, top-to-bottom.

   Map File (only for VMS/VMU)
       The VMS map file is a standard JPEG file. Its restart markers (if any) are not included in the
       optimisation file. The VMU map file is in NGR format. This file can be used to provide a lower-resolution
       view of the slide.

   Image Files (only for VMS/VMU)
       These files are given by the VMS/VMU ImageFile keys. They are assumed to have a height which is a
       multiple of the MCU height. They are assumed to have a width which is a multiple of MCUs per row divided
       by the restart interval.

       For VMS, these files are in JPEG, for VMU they are in NGR format.

   NGR Format
       The NGR file contains uncompressed 16-bit RGB data, with a small header. The files we have encountered
       start with GN, two more bytes, and then width, height, and column width in little endian 32-bit format.
       The column width must divide evenly into the width. Column width is important, since NGR files are
       generated in columns, where the first column comes first in the file, followed by subsequent files.
       Columns are painted left-to-right.

       At offset 24 is another 32-bit integer which gives the offset in the file to the start of the image data.
       The image data we have encountered is in 16-bit little endian format.

   Associated Images
       macro
           the image file given by the MacroImage value in the VMS/VMU file, or SourceLens of -1 in NDPI

   Known Properties
       All key-value data stored in the VMS/VMU file, and known tags from the NDPI file, are encoded as
       properties prefixed with “hamamatsu.”.

       openslide.mpp-x
           For VMS, calculated as hamamatsu.PhysicalWidth/(1000*openslide.level[0].width). For NDPI, calculated
           as 10000/tiff.XResolution, if tiff.ResolutionUnit is centimeter.

       openslide.mpp-y
           For VMS, calculated as hamamatsu.PhysicalHeight/(1000*openslide.level[0].height). For NDPI,
           calculated as 10000/tiff.YResolution, if tiff.ResolutionUnit is centimeter.

       openslide.objective-power
           normalized hamamatsu.SourceLens

   Test Data
       NDPI format
           http://openslide.cs.cmu.edu/download/openslide-testdata/Hamamatsu/

       VMS format
           http://openslide.cs.cmu.edu/download/openslide-testdata/Hamamatsu-vms/

LEICA FORMAT

       Format
           single-file pyramidal tiled BigTIFF with non-standard metadata

       File extensions
           .scn

       OpenSlide vendor backend
           leica

   Detection
       Leica slides are stored in single-file BigTIFF format. OpenSlide will detect a file as Leica if:

        1. The file is TIFF.

        2. The initial image is tiled.

        3. The ImageDescription tag contains valid XML in either of these namespaces:
           <listitem>http://www.leica-microsystems.com/scn/2010/03/10 </listitem>
           <listitem>http://www.leica-microsystems.com/scn/2010/10/01 </listitem>

       To open Leica files, OpenSlide must be built with libtiff 4 or above.

   Relevant TIFF tags
       ┌─────────────────┬───────────────────────────────────┐
       │TagDescription                       │
       ├─────────────────┼───────────────────────────────────┤
       │ImageDescription │ Stores an XML document containing │
       │                 │ various metadata                  │
       └─────────────────┴───────────────────────────────────┘

   File Organization
       The ImageDescription tag of the first TIFF directory contains an XML document that defines the structure
       of the slide.

       Leica slides are structured as a collection of images, each of which has multiple dimensions (pyramid
       levels). The collection has a size, and images have a size and position, measured in nanometers. Each
       dimension has a size in pixels, an optional focal plane number, and a TIFF directory containing the image
       data. Fluorescence images have different dimensions (and thus different TIFF directories) for each
       channel. OpenSlide currently rejects fluorescence images and ignores focal planes other than plane 0.

       Brightfield slides have at least two images: a low-resolution macro image and one or more main images
       corresponding to regions of the macro image. The macro image has a position of (0, 0) and a size matching
       the size of the collection. Fluorescence slides can have two macro images: one brightfield and one
       fluorescence.

       The slide provides enough information to composite the various images, including the macro image, into a
       single pyramid. However, there are some complications: <listitem>The resolution of the macro image is
       generally not related to the resolution of the main images by a power of two.
       </listitem><listitem>Downsampled dimensions are generally downsampled from the next larger dimension by a
       factor of 4, but main images can be scanned with distinct objectives that may differ by only a factor of
       2.  </listitem>.PP Thus, in general, the images in a collection cannot be rendered into a unified pyramid
       without scaling the original pixel data. OpenSlide does not attempt to do this. Instead, OpenSlide omits
       the macro image from the pyramid and refuses to open slides whose main images have inconsistent
       resolutions.

   Associated Images
       macro
           the highest-resolution dimension of the macro image

   Known Properties
       leica.aperture
           the numericalAperture of the main image

       leica.barcode
           the barcode text. (For slides in the 2010/10/01 namespace, OpenSlide 3.4.0 and earlier report this
           property as a Base64-encoded string; OpenSlide 3.4.1 and later report it in plain text. For slides in
           the 2010/03/10 namespace, OpenSlide reports the barcode as it is stored in the XML, since we do not
           know whether those barcodes are Base64-encoded. If you have a 2010/03/10 slide with a bar code,
           please comment in this bug[2] or contact the OpenSlide mailing list.)

       leica.creation-date
           the creationDate of the main image

       leica.device-model
           the device model of the main image

       leica.device-version
           the device version of the main image

       leica.illumination-source
           the illuminationSource of the main image

       leica.objective
           the objective of the main image

       openslide.mpp-x
           calculated as 10000/tiff.XResolution, if tiff.ResolutionUnit is centimeter

       openslide.mpp-y
           calculated as 10000/tiff.YResolution, if tiff.ResolutionUnit is centimeter

       openslide.objective-power
           normalized leica.objective

   Test Data
       http://openslide.cs.cmu.edu/download/openslide-testdata/Leica/

MIRAX FORMAT

       Format
           multi-file with very complicated proprietary metadata and indexes

       File extensions
           .mrxs

       OpenSlide vendor backend
           mirax

   Detection
       OpenSlide will detect a file as MIRAX if:

        1. The file is not a TIFF.

        2. The filename ends with .mrxs.

        3. A directory exists in the same location as the file, with the same name as the file minus the
           extension.

        4. A file named Slidedat.ini exists in the directory.

   Overview
       MIRAX can store slides in JPEG, PNG, or BMP formats. Because JPEG does not allow for large images, and
       JPEG and PNG provide very poor support for random-access decoding of part of an image, multiple images
       are needed to encode a slide. To avoid having many individual files, MIRAX packs these images into a
       small number of data files. The index file provides offsets into the data files for each required piece
       of data.

       The camera on MIRAX scanners takes overlapping photos and records the position of each one. Each photo is
       then split into multiple images which do not overlap. Overlaps only occur between images that come from
       different photos.

       To generate level n + 1, each image from level n is downsampled by 2 and then concatenated into a new
       image, 4 old images per new image (2 x 2). This process is repeated for each level, irrespective of image
       overlaps. Therefore, at sufficiently high levels, a single image can contain one or more embedded
       overlaps of non-integral width.

   Index File
       The index file starts with a five-character ASCII version string, followed by the SLIDE_ID from the
       slidedat file. The rest of the file consists of 32-bit little-endian integers (unaligned), which can be
       data values or pointers to byte offsets within the index file.

       The first two integers point to offset tables for the hierarchical and nonhierarchical roots,
       respectively. These tables contain one record for each VAL in the HIERARCHICAL slidedat section. For
       example, the record for NONHIER_1_VAL_2 would be stored at nonhier_root + 4 * (NONHIER_0_COUNT + 2).

       Each record is a pointer to a linked list of data pages. The first two values in a data page are the
       number of data items in the page and a pointer to the next page. The first page always has 0 data items,
       and the last page has a 0 next pointer.

       There is one hierarchical record for each zoom level. The record contains data items consisting of an
       image index, offset and length within a file, and a file number. The file number can be converted to a
       data file name via the DATAFILE slidedat section. The image index is equal to image_y *
       GENERAL.IMAGENUMBER_X + image_x. Image coordinates which are not multiples of the zoom level’s downsample
       factor are omitted.

       Nonhierarchical records refer to associated images and additional metadata. Nonhierarchical data items
       consist of three zero values followed by an offset, length, and file number as in hierarchical records.

   Data Files
       A data file begins with a header containing a five-character ASCII version string, the SLIDE_ID from the
       slidedat file, the file number encoded into three ASCII characters, and 256 bytes of padding. (In newer
       slides, the SLIDE_ID and file number are encoded as UTF-16LE, so the second half of each value is
       truncated away.) The remainder of the file contains packed data referenced by the index file.

   Slide Position File
       The slide position file is referenced by the VIMSLIDE_POSITION_BUFFER.default nonhierarchical section. It
       contains one entry for each camera position (not each image position) in row-major order. Each entry is
       nine bytes: a flag byte, the X pixel coordinate of the photo (4 bytes, little-endian, may be negative),
       and the Y coordinate (4 bytes, little-endian, may be negative). In slides with CURRENT_SLIDE_VERSION ≥
       1.9, the flag byte is 1 if the slide file contains images for this camera position, 0 otherwise. In older
       slides, the flag byte is always 0.

       In slides with CURRENT_SLIDE_VERSION ≥ 2.2, the slide position file is compressed with DEFLATE and
       referenced by the StitchingIntensityLayer.StitchingIntensityLevel nonhierarchical section.

   Associated Images
       thumbnail
           the image named “ScanDataLayer_SlidePreview” in Slidedat.ini (optional)

       label
           the image named “ScanDataLayer_SlideBarcode” in Slidedat.ini (optional)

       macro
           the image named “ScanDataLayer_SlideThumbnail” in Slidedat.ini (optional)

   Known Properties
       All key-value data stored in the Slidedat.ini file are encoded as properties prefixed with “mirax.”.

       openslide.mpp-x
           normalized MICROMETER_PER_PIXEL_X from the Slidedat section corresponding to level 0 (typically
           mirax.LAYER_0_LEVEL_0_SECTION.MICROMETER_PER_PIXEL_X)

       openslide.mpp-y
           normalized MICROMETER_PER_PIXEL_Y from the Slidedat section corresponding to level 0 (typically
           mirax.LAYER_0_LEVEL_0_SECTION.MICROMETER_PER_PIXEL_Y)

       openslide.objective-power
           normalized mirax.GENERAL.OBJECTIVE_MAGNIFICATION

   See Also
       Introduction to MIRAX/MRXS[3]. Note that our terminology has changed since that document was written;
       where it says “tile”, substitute “image”, and where it says “subtile”, substitute “tile”.

   Test Data
       http://openslide.cs.cmu.edu/download/openslide-testdata/Mirax/

PHILIPS FORMAT

       Format
           single-file pyramidal tiled TIFF or BigTIFF with non-standard metadata

       File extensions
           .tiff

       OpenSlide vendor backend
           philips

   Detection
       Philips TIFF files are stored in single-file TIFF or BigTIFF format. OpenSlide will detect a file as
       Philips if:

        1. The file is TIFF.

        2. The TIFF Software tag starts with Philips.

        3. The ImageDescription tag contains valid XML.

        4. The root element of the XML is DataObject and has an ObjectType attribute with a value of
           DPUfsImport.

       To open BigTIFF files, OpenSlide must be built with libtiff 4 or above.

   File Organization
       Philips TIFF is an export format. The native Philips format, iSyntax, is a custom multi-file format not
       currently supported by OpenSlide.

       The ImageDescription tag of the first TIFF directory contains an XML document with a hierarchical
       structure containing key-value pairs. The keys are based on DICOM tags.

       The level dimensions given in the TIFF ImageWidth and ImageLength fields, and also in the
       ImageDescription XML, are merely the TIFF tile size multiplied by the number of tiles in each dimension.
       Thus, they include the size of the padding in the right-most column and bottom-most row of tiles. Each
       level typically uses the same tile size but requires a different amount of padding, so the aspect ratios
       of the levels are inconsistent and the level dimensions are not proportional to the level downsamples.
       Correct downsamples can be calculated from the levels’ pixel spacings in the XML metadata.

       Slides with multiple regions of interest are structured as a single image pyramid enclosing all regions.
       Slides may omit pixel data for TIFF tiles not in an ROI; this is represented as a TileOffset of 0 and a
       TileByteCount of 0. When such tiles are downsampled into a tile that does contain pixel data, their
       contents are rendered as white pixels.

       Label and macro images are stored as Base64-encoded JPEGs in the ImageDescription XML. Some slides also
       store these images as stripped TIFF directories whose ImageDescriptions start with Label and Macro,
       respectively.

   Relevant TIFF tags
       ┌─────────────────┬───────────────────────────────────────┐
       │TagDescription                           │
       ├─────────────────┼───────────────────────────────────────┤
       │ImageDescription │ Stores an XML document containing     │
       │                 │ various metadata and associated image │
       │                 │ data                                  │
       ├─────────────────┼───────────────────────────────────────┤
       │Software         │ Starts with Philips                   │
       └─────────────────┴───────────────────────────────────────┘

   Associated Images
       label
           the TIFF directory with an ImageDescription starting with Label, or the image data in the
           DPScannedImage with a PIM_DP_IMAGE_TYPE of LABELIMAGE

       macro
           the TIFF directory with an ImageDescription starting with Macro, or the image data in the
           DPScannedImage with a PIM_DP_IMAGE_TYPE of MACROIMAGE

   Known Properties
       All key-value data encoded in the DPUfsImport object, in the first DPScannedImage object with a
       PIM_DP_IMAGE_TYPE of WSI, and in that object’s PixelDataRepresentation objects is represented as
       properties prefixed with “philips.”.

       openslide.mpp-x
           calculated as 1000 * philips.DICOM_PIXEL_SPACING[1]

       openslide.mpp-y
           calculated as 1000 * philips.DICOM_PIXEL_SPACING[0]

   Test Data
       No public data available. Contact the mailing list[4] if you have some.

SAKURA FORMAT

       Format
           SQLite database containing pyramid tiles and metadata

       File extensions
           .svslide

       OpenSlide vendor backend
           sakura

   Detection
       OpenSlide will detect a file as Sakura if:

        1. The file is a SQLite database.

        2. The DataManagerSQLiteConfigXPO table contains exactly one row, and its TableName field refers to a
           unique table.

        3. The unique table contains a row with id = "++MagicBytes" and data = "SVGigaPixelImage".

   File Organization
       Sakura slides are SQLite 3 database files written by the eXpress Persistent Objects ORM. Tables contain
       slide metadata, associated images, and JPEG tiles. Tiles are addressed as (focal plane, downsample,
       level-0 X coordinate, level-0 Y coordinate, color channel), with separate grayscale JPEGs for each color
       channel. Despite the generality of the address format, tiles appear to be organized in a regular grid,
       with power-of-two level downsamples and without overlapping tiles. The structure of the file allows scans
       to be sparse, but it is not clear if this is actually done.

   SQL Tables
       Some irrelevant tables and columns have been omitted from the summary below.
       DataManagerSQLiteConfigXPO.PP Useful only to get a reference to the unique table. OpenSlide requires this
       table to contain exactly one row.

       ┌──────────┬──────┬───────────────────────────┐
       │ColumnTypeDescription               │
       ├──────────┼──────┼───────────────────────────┤
       │TableName │ text │ Name of the unique table, │
       │          │      │ described below           │
       └──────────┴──────┴───────────────────────────┘
       SVSlideDataXPO.PP High-level metadata about a slide. OpenSlide assumes this table will contain exactly
       one row.

       ┌───────────────────┬─────────┬──────────────────────────┐
       │ColumnTypeDescription              │
       ├───────────────────┼─────────┼──────────────────────────┤
       │OID                │ integer │ Primary key              │
       ├───────────────────┼─────────┼──────────────────────────┤
       │m_labelScan        │ integer │ Foreign key to label     │
       │                   │         │ associated image in      │
       │                   │         │ SVScannedImageDataXPO    │
       ├───────────────────┼─────────┼──────────────────────────┤
       │m_overviewScan     │ integer │ Foreign key to macro     │
       │                   │         │ associated image in      │
       │                   │         │ SVScannedImageDataXPO    │
       ├───────────────────┼─────────┼──────────────────────────┤
       │SlideId            │ text    │ UUID                     │
       ├───────────────────┼─────────┼──────────────────────────┤
       │Date               │ text    │ File creation date?      │
       ├───────────────────┼─────────┼──────────────────────────┤
       │Description        │ text    │ Descriptive text?        │
       ├───────────────────┼─────────┼──────────────────────────┤
       │Creator            │ text    │ Author?                  │
       ├───────────────────┼─────────┼──────────────────────────┤
       │DiagnosisCode      │ text    │ Unknown, have seen “0”   │
       ├───────────────────┼─────────┼──────────────────────────┤
       │HRScanCount        │ integer │ Presumably the number of │
       │                   │         │ corresponding rows in    │
       │                   │         │ SVHRScanDataXPO          │
       ├───────────────────┼─────────┼──────────────────────────┤
       │Keywords           │ text    │ Descriptive text?        │
       ├───────────────────┼─────────┼──────────────────────────┤
       │TotalDataSizeBytes │ integer │ Presumably the sum of    │
       │                   │         │ TotalDataSizeBytes in    │
       │                   │         │ corresponding            │
       │                   │         │ SVHRScanDataXPO rows     │
       └───────────────────┴─────────┴──────────────────────────┘
       SVHRScanDataXPO.PP A single high-resolution scan of a slide from SVSlideDataXPO. OpenSlide assumes this
       table will contain exactly one row.

       ┌─────────────────────────┬─────────┬─────────────────────────────┐
       │ColumnTypeDescription                 │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │OID                      │ integer │ Primary key                 │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │ParentSlide              │ integer │ Foreign key to              │
       │                         │         │ SVSlideDataXPO              │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │ScanId                   │ text    │ UUID                        │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │Date                     │ text    │ Scan date?                  │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │Description              │ text    │ Descriptive text?           │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │Name                     │ text    │ Scan name?                  │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │PosOnSlideMm             │ blob    │ 16 bytes of binary          │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │ResolutionMmPerPix       │ real    │ Millimeters per pixel       │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │NominalLensMagnification │ real    │ Objective power             │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │ThumbnailImage           │ blob    │ thumbnail associated image  │
       │                         │         │ data                        │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │TotalDataSizeBytes       │ integer │ Same as TOTAL_SIZE blob in  │
       │                         │         │ unique table                │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │FocussingMethod          │ integer │ Unknown; have seen “1”      │
       ├─────────────────────────┼─────────┼─────────────────────────────┤
       │FocusStack               │ blob    │ 8 bytes of binary per focal │
       │                         │         │ plane; the center focal     │
       │                         │         │ plane apparently has all    │
       │                         │         │ zeroes                      │
       └─────────────────────────┴─────────┴─────────────────────────────┘
       SVScannedImageDataXPO.PP Contains associated images other than the thumbnail.

       ┌───────────────────┬─────────┬───────────────────────┐
       │ColumnTypeDescription           │
       ├───────────────────┼─────────┼───────────────────────┤
       │OID                │ integer │ Primary key           │
       ├───────────────────┼─────────┼───────────────────────┤
       │Id                 │ text    │ UUID                  │
       ├───────────────────┼─────────┼───────────────────────┤
       │PosOnSlideMm       │ blob    │ 16 bytes of binary    │
       ├───────────────────┼─────────┼───────────────────────┤
       │ScanCenterPosMm    │ blob    │ 16 bytes of binary    │
       ├───────────────────┼─────────┼───────────────────────┤
       │ResolutionMmPerPix │ real    │ Millimeters per pixel │
       ├───────────────────┼─────────┼───────────────────────┤
       │Image              │ blob    │ JPEG image data       │
       ├───────────────────┼─────────┼───────────────────────┤
       │ThumbnailImage     │ blob    │ Low-resolution JPEG   │
       │                   │         │ thumbnail             │
       └───────────────────┴─────────┴───────────────────────┘
       tile.PP This table is most naturally used to map tile coordinates to tile IDs, but is not suitable for
       individual lookups because it has no useful indexes. In addition, some Sakura slides don’t have it.
       OpenSlide ignores the table and constructs tile IDs directly from tile coordinates.

       ┌─────────────┬─────────┬─────────────────────────────┐
       │ColumnTypeDescription                 │
       ├─────────────┼─────────┼─────────────────────────────┤
       │TILEID       │ text    │ Foreign key to unique table │
       ├─────────────┼─────────┼─────────────────────────────┤
       │PYRAMIDLEVEL │ integer │ Downsample of the pyramid   │
       │             │         │ level                       │
       ├─────────────┼─────────┼─────────────────────────────┤
       │COLUMNINDEX  │ integer │ Level-0 X coordinate of the │
       │             │         │ top-left corner of the tile │
       ├─────────────┼─────────┼─────────────────────────────┤
       │ROWINDEX     │ integer │ Level-0 Y coordinate of the │
       │             │         │ top-left corner of the tile │
       ├─────────────┼─────────┼─────────────────────────────┤
       │COLORINDEX   │ integer │ 0 for red, 1 for green, 2   │
       │             │         │ for blue                    │
       └─────────────┴─────────┴─────────────────────────────┘

       Unique table

       This is the table named by DataManagerSQLiteConfigXPO.TableName. It contains named blobs including the
       JPEG tile data.

       ┌───────┬─────────┬──────────────────────┐
       │ColumnTypeDescription          │
       ├───────┼─────────┼──────────────────────┤
       │id     │ text    │ Primary key          │
       ├───────┼─────────┼──────────────────────┤
       │size   │ integer │ Length of data field │
       ├───────┼─────────┼──────────────────────┤
       │data   │ blob    │ Data item            │
       └───────┴─────────┴──────────────────────┘

       This table stores a variety of blob types.

       ┌───────────────────┬─────────────────────────────────────┐
       │idDescription                         │
       ├───────────────────┼─────────────────────────────────────┤
       │++MagicBytes       │ SVGigaPixelImage                    │
       ├───────────────────┼─────────────────────────────────────┤
       │++VersionBytes     │ Format version, e.g. 1.0.0          │
       ├───────────────────┼─────────────────────────────────────┤
       │Header             │ See below                           │
       ├───────────────────┼─────────────────────────────────────┤
       │TOTAL_SIZE         │ The data field is empty.  The size  │
       │                   │ field is the sum of all other size  │
       │                   │ fields except ++MagicBytes and      │
       │                   │ ++VersionBytes.                     │
       ├───────────────────┼─────────────────────────────────────┤
       │T;2048|4096;4;2;0  │ Image tile with downsample 4, X     │
       │                   │ coordinate 2048, Y coordinate 4096, │
       │                   │ channel 2 (blue), focal plane 0     │
       ├───────────────────┼─────────────────────────────────────┤
       │T;2048|4096;4;2;0# │ MD5 hash of the T;2048|4096;4;2;0   │
       │                   │ image tile                          │
       └───────────────────┴─────────────────────────────────────┘
       Header blob

       The Header blob is a small binary structure containing little-endian integers as follows:

       ┌───────┬──────┬──────────────────────────────┐
       │OffsetSizeDescription                  │
       ├───────┼──────┼──────────────────────────────┤
       │0      │ 4    │ Tile size in pixels          │
       ├───────┼──────┼──────────────────────────────┤
       │4      │ 4    │ Image width in pixels        │
       ├───────┼──────┼──────────────────────────────┤
       │8      │ 4    │ Image height in pixels       │
       ├───────┼──────┼──────────────────────────────┤
       │12     │ 4    │ Unknown; have seen “8” (bits │
       │       │      │ per channel?)                │
       ├───────┼──────┼──────────────────────────────┤
       │16     │ 4    │ Number of focal planes       │
       ├───────┼──────┼──────────────────────────────┤
       │20     │ 4    │ Unknown; have seen “3”       │
       │       │      │ (number of channels?)        │
       ├───────┼──────┼──────────────────────────────┤
       │24     │ 4    │ Unknown; have seen “1”       │
       ├───────┼──────┼──────────────────────────────┤
       │28     │ 2    │ Unknown; have seen “256”     │
       ├───────┼──────┼──────────────────────────────┤
       │30     │ 4    │ Unknown; have seen “1”       │
       ├───────┼──────┼──────────────────────────────┤
       │34     │ 4    │ Unknown; have seen “2”       │
       ├───────┼──────┼──────────────────────────────┤
       │38     │ 4    │ Unknown; have seen “3”       │
       ├───────┼──────┼──────────────────────────────┤
       │42     │ 4    │ Unknown; have seen “4”       │
       ├───────┼──────┼──────────────────────────────┤
       │46     │ 4    │ Unknown; have seen “5”       │
       ├───────┼──────┼──────────────────────────────┤
       │50     │ 4    │ Unknown; have seen “6”       │
       └───────┴──────┴──────────────────────────────┘

   Associated Images
       label
           SVScannedImageDataXPO.Image corresponding to SVSlideDataXPO.m_labelScan

       macro
           SVScannedImageDataXPO.Image corresponding to SVSlideDataXPO.m_overviewScan

       thumbnail
           SVHRScanDataXPO.ThumbnailImage

   Known Properties
       sakura.Creator
           SVSlideDataXPO.Creator

       sakura.Date
           SVSlideDataXPO.Date

       sakura.Description
           SVSlideDataXPO.Description

       sakura.DiagnosisCode
           SVSlideDataXPO.DiagnosisCode

       sakura.FocussingMethod
           SVHRScanDataXPO.FocussingMethod

       sakura.Keywords
           SVSlideDataXPO.Keywords

       sakura.NominalLensMagnification
           SVHRScanDataXPO.NominalLensMagnification

       sakura.ResolutionMmPerPix
           SVHRScanDataXPO.ResolutionMmPerPix

       sakura.ScanId
           SVHRScanDataXPO.ScanId

       sakura.SlideId
           SVSlideDataXPO.SlideId

       openslide.mpp-x
           calculated as 1000 * sakura.ResolutionMmPerPix

       openslide.mpp-y
           calculated as 1000 * sakura.ResolutionMmPerPix

       openslide.objective-power
           normalized sakura.NominalLensMagnification

   Test Data
       No public data available. Contact the mailing list[4] if you have some.

TRESTLE FORMAT

       Format
           single-file pyramidal tiled TIFF, with non-standard metadata and overlaps; additional files contain
           more metadata and detailed overlap info

       File extensions
           .tif

       OpenSlide vendor backend
           trestle

   Detection
       Trestle slides are stored in single-file TIFF format. OpenSlide will detect a file as Trestle if:

        1. The file is TIFF.

        2. The TIFF Software tag starts with MedScan.

        3. The ImageDescription tag is present.

        4. All images are tiled.

   Relevant TIFF tags
       ┌─────────────────────────┬───────────────────────────────────────┐
       │TagDescription                           │
       ├─────────────────────────┼───────────────────────────────────────┤
       │ImageDescription         │ Stores some important key-value       │
       │                         │ pairs, see below                      │
       ├─────────────────────────┼───────────────────────────────────────┤
       │Software                 │ Starts with “MedScan”                 │
       ├─────────────────────────┼───────────────────────────────────────┤
       │XResolution, YResolution │ Seems to store microns-per-pixel      │
       │                         │ (MPP), which may or may not take into │
       │                         │ account the correct objective power.  │
       │                         │ Note that this is inverted from       │
       │                         │ standard TIFF, which stores           │
       │                         │ pixels-per-unit, not units-per-pixel. │
       └─────────────────────────┴───────────────────────────────────────┘

   Extra data stored in ImageDescription
       The ImageDescription tag contains semicolon-delimited key-value pairs. A key-value pair is
       equals-delimited. We use the OverlapsXY and Background Color keys from the ImageDescription, and ignore
       the rest. All of these values are stored as properties starting with “trestle.”.

       ┌─────────────────┬─────────────────────────────────────┐
       │KeyDescription                         │
       ├─────────────────┼─────────────────────────────────────┤
       │Background Color │ Hex-encoded background color info,  │
       │                 │ assumed to be in the format RRGGBB. │
       ├─────────────────┼─────────────────────────────────────┤
       │White Balance    │ Hex-encoded white balance           │
       ├─────────────────┼─────────────────────────────────────┤
       │Objective Power  │ Reported objective power, often     │
       │                 │ incorrect.                          │
       ├─────────────────┼─────────────────────────────────────┤
       │JPEG Quality     │ The JPEG quality value.             │
       ├─────────────────┼─────────────────────────────────────┤
       │OverlapsXY       │ Overlaps, see below.                │
       └─────────────────┴─────────────────────────────────────┘

   TIFF Image Directory Organization
       The first image in the TIFF file is the full-resolution image. The subsequent images are assumed to be
       decreasingly sized reduced-resolution images.

   Overlaps
       The OverlapsXY pseudo-field encodes a list of tile overlap values as ASCII.

       Example: “64 64 32 32 16 16” (note the initial space).

       These values represent the standard overlaps between adjacent tiles in X and Y, in pixels. This example
       encodes 3 levels worth of overlaps. Further overlaps are assumed to have the value 0.

       Individual tile overlaps may differ from the standard overlaps. These individual overlaps are recorded in
       .tif-Nb files adjacent to the .tif file, where N is the level number. OpenSlide does not read these
       files, though they have been partially decoded; see issue 21[5] for details.

   Associated Images
       macro
           the image with a filename extension of “.Full” (optional)

   Known Properties
       All data encoded in the ImageDescription TIFF field is represented as properties prefixed with
       “trestle.”.

       openslide.mpp-x
           copy of tiff.XResolution (note that this is a totally non-standard use of this TIFF tag)

       openslide.mpp-y
           copy of tiff.YResolution (note that this is a totally non-standard use of this TIFF tag)

       openslide.objective-power
           normalized trestle.Objective Power

   Test Data
       http://openslide.cs.cmu.edu/download/openslide-testdata/Trestle/

VENTANA FORMAT

       Format
           single-file pyramidal tiled BigTIFF with non-standard metadata and overlaps

       File extensions
           .bif, .tif

       OpenSlide vendor backend
           ventana

   Detection
       Ventana slides are stored in single-file BigTIFF format. OpenSlide will detect a file as Ventana if:

        1. The file is TIFF.

        2. The XMP tag contains valid XML.

        3. The XML contains an iScan element, either as the root element or as a child of a Metadata root
           element.

       To open Ventana files, OpenSlide must be built with libtiff 4 or above.

   Associated Images
       macro
           the TIFF directory whose ImageDescription is Label Image or Label_Image

       thumbnail
           the TIFF directory whose ImageDescription is Thumbnail

   Known Properties
       All XML attributes in the iScan element are represented as properties prefixed with “ventana.”.

       openslide.mpp-x
           normalized ventana.ScanRes

       openslide.mpp-y
           normalized ventana.ScanRes

       openslide.objective-power
           normalized ventana.Magnification

   Test Data
       http://openslide.cs.cmu.edu/download/openslide-testdata/Ventana/

GENERIC TILED TIFF FORMAT

       Format
           single-file pyramidal tiled TIFF

       File extensions
           .tif

       OpenSlide vendor backend
           generic-tiff

   Detection
       OpenSlide will detect a file as generic TIFF if:

        1. No other detections succeed.

        2. The file is TIFF.

        3. The initial image is tiled.

   TIFF Image Directory Organization
       The first image in the TIFF file is the full-resolution image. Any other tiled images in the file with
       the “reduced resolution” bit set are assumed to be reduced-resolution versions of the original.

   Associated Images
       None.

   Known Properties
       Many TIFF tags are encoded as properties starting with “tiff.”.

   Test Data
       http://openslide.cs.cmu.edu/download/openslide-testdata/Generic-TIFF/

AUTHORS

       The Carnegie Mellon School of Computer Science.

       This manual page was written by Mathieu Malaterre <malat@debian.org> for the Debian GNU/Linux system (but
       may be used by others).

NOTES

        1. pages for each vendor format
           http://openslide.org/formats/

        2. this bug
           http://openslide.orghttps://github.com/openslide/openslide/issues/155

        3. Introduction to MIRAX/MRXS
           http://openslide.orghttps://lists.andrew.cmu.edu/pipermail/openslide-users/2012-July/000373.html

        4. mailing list
           http://openslide.orghttps://lists.andrew.cmu.edu/mailman/listinfo/openslide-users/

        5. issue 21
           http://openslide.orghttps://github.com/openslide/openslide/issues/21#issuecomment-23615583