Trevor McKee, PhD, will speak on “Moving from Images to Data: Resources and expertise in computational pathology at the STTARR core facility.”
This group is open to investigators, trainees and staff affiliated with the University of Toronto. To sign up to get more information on upcoming discussion groups, please contact Laura Prochazka.
A major bottleneck in synthetic biology approaches to medicine is the lack of quantitative data on tissue morphology to inform structural information on pathological and healthy tissue states. Excitingly, the advent of digital pathology with increasing semi-automated computational analysis workflows is moving the discipline towards a quantitative science. Computational pathology is providing new tools that can both augment a clinical pathologist’s toolbox, as well as provide new insights into tissue structure at single-cell resolution to guide the development of synthetic biology-guided next-generation therapeutics. Single-cell resolution structural and positional information is also a major part of the Human Cell Atlas, a worldwide consortium to map every cell and cell lineage in the developing and adult human. We are therefore delighted to gain some insight into the work of Dr. Trevor McKee, visiting from STTARR to talk to us about “Moving from Images to Data: Resources and expertise in computational pathology at the STTARR core facility.”
Dr. McKee is a biological engineer who received his PhD from MIT under the guidance of Dr. Rakesh K. Jain, on the application of intravital microscopy to studying barriers to drug and gene delivery in tumours. He runs the Computational Pathology core facility within STTARR, a multi-modality imaging facility within the Princess Margaret Cancer Centre, where he leads a team of programmers and technicians to build algorithms to quantitatively measure protein and RNA abundance at the single-cell resolution in whole-slide pathology images, for academic and pharmaceutical clients.