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Explaining the “digital”
in
“digital pathology”
Yves Sucaet
January 2024
www.cytomine.com
Why this presentation?
www.cytomine.com
If want the make the best tools…
… understand where data comes from
See also part 1
Innovations in hardware
When papa data and mama data love each other very much…
www.cytomine.com
From patient to (stained) slide(s)
From slide to pixels
From slide to pixels
????
And now
something
magical
happens…
Historically speaking (late 19th century)
Biggest part of the 20th century
By the end of the 20th century
Beginning of the 21st century
More automation / robotization
Package it all into a single case
Now you have a slide scanner!
It’s still a microscope (exhibit C)
How do slide scanners work?
“Hey, what a great idea!”, says… everybody…
Many vendors = healthy market!
The software side of things
Software stack
Very large
image!
How big are these images?
20 GIGA pixel
14 MEGA pixel
Gigapixel images are pyramids
You can observe this effect in Cytomine
You can observe this effect in Cytomine
You can observe this effect in Cytomine
Serve the right tiles in real time = a tile server
• “What is a tile server” video @ https://youtu.be/sepPIexKELE
Enter the industry…
Each came up with their own “format”
Existing solutions
Open source and vendor-specific, standardization efforts
Own SDK
• 3DHistech SlideAC
• Philips iSyntax (older version?)
• Hamamatsu ndpread.dll
First (universal) mover advantage: OpenSlide
Bioformats / OMERO
OME-tiff
DICOM / WG26 / Supplement 145
Cloud changes everything
The reality of file formats
The next (technical) frontier
Data in context
Annotation software
Talking points for future RND meetings
• Cytomine native annotations
• WKT format
• Import / export modalities; documentation and use cases
• Scalability demonstrators
• Vendor-specific annotations
• Embedded within .mrxs, .nd2, .vsi, .xml files
• Third-party annotations
• Visiopharm .mld file format
• Indica labs .annotation (XML) file format
• QuPath file format
Use cases
Use cases for digital pathology (from 30k feet)
Application areas
• Education EET
• Research EER
• Clinical / Pharma research EED
• Clinical / Hospital EED
Scenarios
• Storage
• Search
• Sharing
The goal

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Explaining "digital" in digital pathology