Eduardo Hirata-Miyasaki

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

Ultrack improves cell tracking across 2D, 3D, and multi-channel time-lapse recordings by integrating multiple segmentations and temporal consistency, achieving state-of-the-art performance on benchmark datasets.

The paper introduces a 25-camera multifocus microscope for high-speed 3D imaging and demonstrates its use in live imaging of organisms.

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.