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Advances in computational image analysis and machine learning in the field of digital pathology seem poised to make transformational changes in disease diagnosis and prognosis, yet currently 99% of all histopathology slides generated in clinical practice are never digitized. We seek to incorporate digital imaging into the standard glass-slide clinical pathology workflow using relatively inexpensive modifications to traditional clinical microscopes. Here we will introduce PathCAM, a pathology computer-assisted microscope for "ambient" digitization of histology slides during the standard pathology workflow. PathCAM leverages high-frequency spatiotemporal sampling and human-machine interaction to deliver complete and accurate digital records of clinical glass-slide analysis. We will discuss the development of the PathCAM system and technical approach, and demonstrate the unique datasets and capabilities afforded by this hybrid digital-analog pathology imaging and analysis platform.
J. Quincy Brown,Kimberly L. Ashman,Max Cooper,Huimin Zhuge,Sharon E. Fox,Jonathan I. Epstein,Carola Wenk, andBrian Summa
"PathCAM: Pathology Computer Assisted Microscope for multiscale expert-in-the-loop digital pathology", Proc. SPIE PC12363, Multiscale Imaging and Spectroscopy IV, PC1236308 (17 March 2023); https://doi.org/10.1117/12.2658961
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J. Quincy Brown, Kimberly L. Ashman, Max Cooper, Huimin Zhuge, Sharon E. Fox, Jonathan I. Epstein, Carola Wenk, Brian Summa, "PathCAM: Pathology Computer Assisted Microscope for multiscale expert-in-the-loop digital pathology," Proc. SPIE PC12363, Multiscale Imaging and Spectroscopy IV, PC1236308 (17 March 2023); https://doi.org/10.1117/12.2658961