Advances in microscopy hold great promise for allowing quantitative and precise
measurement of morphological and molecular phenomena at the single-cell level in …

Live-cell imaging by light microscopy has demonstrated that all cells are spatially and
temporally organized. Quantitative, computational image analysis is an important part of …

Single-cell analysis of bacteria and subcellular protein localization dynamics has shown that
bacteria have elaborate life cycles, cytoskeletal protein networks and complex signal …

Live-cell imaging has opened an exciting window into the role cellular heterogeneity plays
in dynamic, living systems. A major critical challenge for this class of experiments is the …

The cellular morphology and sub-cellular spatial structure critically influence the function of
microbial cells. Similarly, the spatial arrangement of genotypes and phenotypes in microbial …

Many biological applications require the segmentation of cell bodies, membranes and nuclei
from microscopy images. Deep learning has enabled great progress on this problem, but …

Improvements in microscopy software and hardware have dramatically increased the pace
of image acquisition, making analysis a major bottleneck in generating quantitative, single …

Microscopy images are rich in information about the dynamic relationships among biological
structures. However, extracting this complex information can be challenging, especially …

Microscopy image analysis is a major bottleneck in quantification of single-cell microscopy
data, typically requiring human oversight and curation, which limit both accuracy and …

The clearest phenotypic characteristic of microbial cells is their shape, but we do not
understand how cell shape affects the dense communities, known as biofilms, where many …