FIP Seminar: Biophotonics and data science approaches to next-generation digital pathology

The FDA recently approved the use of digital pathology imaging for primary disease diagnosis. However, digital pathology largely remains outside of the typical clinical workflow, reducing the impact of a data-centered approach on patient outcomes. This is because the technology underlying histopathology has changed little over the last 120 years, yet its limitations in terms of required resources and destruction of tissue are increasingly becoming bottlenecks to progress in today's health care environment, particularly in the era of improved diagnostic/treatment efficiency and precision medicine. Our laboratory is seeking to introduce new technologies and strategies to change the workflow and opportunities for digital pathology. Specifically, we aim to address these challenges with high-throughput optical sectioning microscopies, combined with novel strategies for fluorescence histochemistry and concepts from data and vision science, to contribute practical and clinically-adoptable solutions for next-generation digital pathology. In this talk I will describe the development of these technologies, and their application to several clinical endpoints of interest.
J. Quincy Brown is an Associate Professor of Biomedical Engineering at Tulane University. He received the Ph.D. in Biomedical Engineering from Louisiana Tech University in 2005 for his work on implantable smart tattoo optical glucose sensors under the direction of Michael J. McShane.