Keynote Lecture Series


C.F.A. Culling Memorial Lecture: MUSE nearly instant slide-free microscopy—plus bonus: getting special-stain results from H&E-stained slides
September 23, 2018 9:45am - 10:45am
Presented by Richard Levenson, MD, Professor and Vice Chair for Strategic Technologies, Department of Pathology & Laboratory Medicine, UC Davis Medical Center  
Sponsored by Polyscientific R&D Corp

MUSE: Digital imaging of tissue slides is part of the future of anatomic pathology, but laborious and technically challenging preparation of glass slides prior to scanning is still part of the work-flow (and cost structure). Alternative approaches that can bypass conventional histological processing and its associated delays and expense would be useful; a number of technologies for rapid, ex-vivo, slide-free microscopy are in R&D phase and a few have already been deployed as research-use-only commercial instruments. These contenders to replace standard histology appear promising for such uses as real-time surgical guidance, tumor margin assessment, rapid on-site (biopsy) evaluation (ROSE), pre-clinical research, and potentially even for final tissue diagnosis, while accelerating the velocity of care and decreasing costs. This talk will briefly discuss a few of these methods, including multiphoton and confocal microscopy, light-sheet microscopy, optical coherence tomography and structured illumination, and will focus on MUSE (Microscopy with UV Surface Excitation), a novel approach that demonstrates a favorable combination of speed, simplicity, robustness, while generating images whose quality can not only equal, but in fact surpass, that of conventional pathology slide scans.  New tricks can be performed with conventional slides as well. Techniques for visualizing collagen without special stains or extra sections, along with other new approaches, will be described.

Artificial Intelligence for Pathology: From Discovery to AI-powered Companion Diagnostics
September 24, 2018  9:45am – 10:45am
Presented by Andrew H. Beck, MD, PhD, CEO, PathAI

Pathologic analysis of patient tissue specimens plays a central role in the field of oncology. Recent advances in artificial intelligence and computer vision offer tremendous potential for discovering new pathologic mechanisms of cancer treatment response and identifying new diagnostics for matching patients and therapies. We will discuss these new advances and their potential for accelerating progress in the diagnosis and treatment of cancer. 


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