Non-destructive 3D pathology and analysis for oncology (Conference Presentation)

Jonathan T. C. Liu

doi:10.1117/12.2657218

16 March 2023 Non-destructive 3D pathology and analysis for oncology (Conference Presentation)

Jonathan T. C. Liu

Proceedings Volume PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII; PC123900A (2023) https://doi.org/10.1117/12.2657218
Event: SPIE BiOS, 2023, San Francisco, California, United States

Abstract

To catalyze a digital pathology transformation to improve clinical decisions, a novel technological approach is needed that offers significant advantages over traditional “gold-standard” histopathology in terms of accuracy and throughput. We have developed an open-top light-sheet (OTLS) microscopy platform for slide-free 3D pathology of large clinical specimens, enabling whole biopsies and surgical specimens to be non-destructively imaged in toto. Using machine-learning techniques, we are quantifying 3D spatial and molecular biomarkers for prognosticating patient outcomes (indolent vs. aggressive disease) and for guiding treatment decisions. These non-destructive large-volume digital pathology methods are synergistic with the growing fields of radiomics and genomics.

Conference Presentation

Citation Download Citation

Jonathan T. C. Liu "Non-destructive 3D pathology and analysis for oncology (Conference Presentation)", Proc. SPIE PC12390, High-Speed Biomedical Imaging and Spectroscopy VIII, PC123900A (16 March 2023); https://doi.org/10.1117/12.2657218

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