Computational microscopy of dynamic order across biological scales

Shalin Mehta

(Chan Zuckerberg Biohub)

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Date: October 17, 2018


Living systems are characterized by emergent behavior of ordered components. Imaging technologies that reveal dynamic arrangement of organelles in a cell and of cells in a tissue are needed to understand the emergent behavior of living systems. I will present an overview of challenges in imaging dynamic order at the scales of cells and tissue, and discuss advances in computational label-free microscopy to overcome these challenges.

Further Information:

Shalin Mehta received his Ph.D. at the National University of Singapore, focusing on optics and biological microscopy. His Ph.D. research led to better mathematical models and novel approaches for label-free imaging of cellular morphology. He then joined the Marine Biological Laboratory in Woods Hole, where he developed novel imaging and computational methods for detecting molecular order across a range of scales in living systems. He built an instantaneous fluorescence polarization microscope that revealed the dynamics of molecular assemblies by tracking the orientation and position of molecules in live cells. At CZ Biohub, his lab seeks to measure physical properties of biological systems with increasing precision, resolution, and throughput by exploiting diverse light-matter interactions and algorithms.

Created: Thursday, October 18th, 2018