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The scanners that turn glass slides into gigapixel images, and the software that stores and serves them, without which pathology AI cannot run.
Leica Biosystems (Aperio GT 450), Hamamatsu (NanoZoomer), 3DHISTECH (Pannoramic), Philips (IntelliSite; FDA-cleared for primary diagnosis 2017), Roche (VENTANA DP 600), and Grundium supply scanners; Sectra, Philips, Proscia (Concentriq), PathAI (AISight), Indica Labs (HALO), and Paige provide image management and viewing. Interoperability (DICOM-WSI) and storage costs (1-4 GB per slide) are the practical constraints on going fully digital.
Automated microscopy tiles a slide at 20-40x, then stitches and compresses it into a pyramidal image; image management platforms index, stream, and integrate with LIS/EHR and AI.
Nothing recorded yet: a foundation, or a gap to fill.
Dependencies are what this technology cannot be delivered without: manufacturing steps, instruments, software, upstream methods. See its full chain on the map.
The first AI for reading biopsy slides authorised by the FDA, which points pathologists to prostate cancer they might otherwise miss.
Query for this technology: (TITLE:"Whole-slide scanners and image management" OR ABSTRACT:"Whole-slide scanners and image management") AND (cancer OR tumor OR tumour OR oncology OR carcinoma OR lymphoma OR leukemia OR leukaemia OR myeloma OR sarcoma OR melanoma OR glioma). Results are unfiltered search hits about Whole-slide scanners and image management, not a curated reading list.
Shares Leica Biosystems (Danaher), Histology automation and IHC autostainers, Diagnostics roadmap: stains → gene panels → blood tests that decide treatment, Roche / Genentech and the tag supporting.
Shares Hamamatsu Photonics and the tag supporting.
Shares Histology automation and IHC autostainers and the tag supporting.
Shares Pathology & radiology foundation models, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow, Digital pathology & AI and the tag supporting.
Shares Pathology & radiology foundation models, AI in oncology roadmap: pattern readers → foundation models → agents in the workflow and the tag supporting.
Shares Histology automation and IHC autostainers and the tag supporting.
Shares Flow cytometers and the tag supporting.
Shares Telemedicine, teleoncology, and telepathology and the tag supporting.
Open-source projects that implement or serve this technology, from OnCo's own catalogue: licence and last activity as the repository reported them on the day of the fetch. Listing is not endorsement; check the licence before reuse and the validation before clinical use.
The open bioimage analysis software for whole-slide images: cell detection, classifiers, tumour region annotation and scripting; the everyday tool of computational pathology labs.
A modular open optical toolbox from Jena for building microscopes from 3D-printed cubes.
The C library that reads vendor whole-slide image formats, underneath nearly every open pathology tool.
Python bindings for OpenSlide.
A web platform for viewing and annotating digital pathology slides, developed with NCI support.
Reads and writes whole-slide images in DICOM from the BIGPICTURE project, Europe's pathology image repository effort.
A 3D-printed, motorised laboratory microscope from the University of Bath used for malaria and cervical cytology screening projects in low-resource settings.
