Elucidating organismal developmental processes requires a comprehensive understanding
of cellular lineages in the spatial, temporal, and molecular domains. In this study, we …

Cell tracking is a ubiquitous image analysis task in live-cell microscopy. Unlike multiple
object tracking (MOT) for natural images, cell tracking typically involves hundreds of similar …

The ability to quantify transcriptional dynamics in individual cells via live imaging has
revolutionized our understanding of gene regulation. However, such measurements are …

Tracking live cells across 2D, 3D, and multi-channel time-lapse recordings is crucial for
understanding tissue-scale biological processes. Despite advancements in imaging …

We here report an aberration-corrected 25-plane camera array Multifocus microscope (M25)
for high-speed, high-resolution wide-field optical microscopy in three spatial dimensions …

Automatic cell tracking in dense environments is plagued by inaccurate correspondences
and misidentification of parent-offspring relationships. In this paper, we introduce a novel …

Cell tracking is an indispensable tool for studying development by time-lapse imaging.
However, existing cell trackers cannot assign confidence to predicted tracks, which prohibits …

We introduce DynaCLR, a self-supervised framework for modeling cell dynamics via
contrastive learning of representations of time-lapse datasets. Live cell imaging of cells and …

The nematode C. elegans is a well-studied model organism for characterizing the structure,
connectivity, and function of a complete nervous system. Recent technical breakthroughs in …

We introduce inTRACKtive, an innovative web-based tool for interactive visualization and
sharing of large 3D cell tracking datasets, eliminating the need for software installations or …