Paul Goodwin, PhD
Session Description: Histochemistry is the science of identifying biomolecules in context of biological structures. The science is moving from qualitative and descriptive to quantitative and precise. Moreover, adjacent tools have been established that provide quantitative data but lack the structural context (-omics). For example, we can identify and enumerate immune cells but we struggle with quantitative descriptors of their place relative to important anatomical structures such as blood vessels, extracellular matrix, and even other cells. This session brings together speakers to talk about data analytics in context of geospatial descriptors and biologists (anatomists, pathologists, physiologists, etc.) who are working with spatial mapping of quantitative data within biological systems.
|12:00 PM - 12:30 PM||Keynote: Using Telescope as Microscope: Applying Geospatial Analysis Within an Anatomical
Xun Shi, PhD • Dartmouth College
|12:30 PM - 12:50 PM||“Google Maps” For Tissue Biology - How to Find Topographic Biomarkers?
Denis Schapiro, PhD • Harvard Medical School and The Broad Institute of Harvard and MIT
|12:50 PM - 1:10 PM||Spatial Analysis of Multiplex Immunohistochemistry Data Enables Systems Analysis of Hypoxia and Improved Stratification of Lung Cancer Patient Outcomes
Parag Mallick, PhD • Canary Center at Stanford Cancer
|1:10 PM - 1:30 PM||Mapping the Spatial Architecture of Human Tissues in Health and Disease with Multiplexed Ion Beam
Erin F. McCaffrey • Stanford University
|1:30 PM||Panel Discussions|