Talon Chandler

The paper presents a multimodal perturbation atlas using CRISPR knockouts in A549 cells, combining microscopy, phase imaging, and scRNA-seq to assess phenotypic resolution.

This paper introduces an algorithm to reconstruct 3D molecular orientation and density from polarized fluorescence microscopy data, demonstrating its application on biological structures and dynamics.

The paper introduces a polarized dual-view light-sheet microscope to recover 3D orientations and positions of fluorescent dipoles, validated with experiments on biological samples.

The paper introduces Mantis, a high-throughput 4D microscope, and shrimPy, software for analyzing 4D data, to study cellular dynamics and responses to perturbations like viral infection.

The paper develops robust virtual staining methods for cellular landmarks using deep learning, showing improved performance across cell types and imaging conditions.