Scalable Analysis of Cellular Dynamics with Correlative Imaging and Deep Learning

Understanding the mysteries of cells and how cells interact within systems requires the ability to visualize and analyze their dynamics across multiple spatial scales and multiple perturbations. In this seminar, I’ll discuss our recent work in 3D live cell imaging at high throughput (https://www.biorxiv.org/content/10.1101/2023.12.19.572435v1) using correlative imaging and deep learning. The microscope, named Mantis, integrates two gentle high throughput imaging modalities: label-free imaging of cellular landmarks with phase and polarization of light, and oblique plane microscopy of smaller organelles and proteins with fluorescent labels. We have developed this microscope in collaboration with systems biologists and virologists to enable scalable analysis of dynamics of viral infection. I’ll share our recent work in virtual staining and image-based phenotyping for analyzing cellular impacts of infection.  

https://www.czbiohub.org/comp-micro/

Seminar Host
Doug Shepherd
Seminar Speaker
Shalin Mehta
Seminar Speaker Affiliation
Chan Zuckerberg Biohub
Seminar Date
Seminar Semester
Spring