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In digital pathology, the practice of scanning slides at a single resolution results in more data than is clinically useful. In contrast, using a light microscope, the pathologist adapts magnification according to specimen content. We developed a method of digitizing the analog microscope workflows of pathologists using a microscope camera and video mosaicking with the Scale Invariant Feature Transform (SIFT). Matching this digital record to the whole slide image generates a slide interaction map over time and magnification tiers. The results of the pilot studies suggest data size can be significantly reduced without diminishing the information content required for diagnosis.
Kimberly L. Ashman,Brian Summa,Sharon E. Fox, andJonathon Q. Brown
"Image-assisted analysis of pathologist slide review as a means of informing optimal digital slide acquisition strategies", Proc. SPIE 11631, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX, 116310L (5 March 2021); https://doi.org/10.1117/12.2577423
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Kimberly L. Ashman, Brian Summa, Sharon E. Fox, Jonathon Q. Brown, "Image-assisted analysis of pathologist slide review as a means of informing optimal digital slide acquisition strategies," Proc. SPIE 11631, Advanced Biomedical and Clinical Diagnostic and Surgical Guidance Systems XIX, 116310L (5 March 2021); https://doi.org/10.1117/12.2577423