Our knowledge of the principles by which organ architecture develops through complex
collective cell behaviours is still limited. Recent work has shown that the shape of such …

Recent advances in microscope automation provide new opportunities for high-throughput
cell biology, such as image-based screening. High-complex image analysis tasks often …

Microscopy is a central method in life sciences. Many popular methods, such as antibody
labeling, are used to add physical fluorescent labels to specific cellular constituents …

Objective To develop a decision support system to identify patients at high risk for
hyperlactatemia based upon routinely measured vital signs and laboratory studies. Materials …

Motivation: Identifying cells in an image (cell segmentation) is essential for quantitative
single-cell biology via optical microscopy. Although a plethora of segmentation methods …

Recent advances in single-cell techniques catalyze an emerging field of studying how cells
convert from one phenotype to another, in a step-by-step process. Two grand technical …

Supervised machine learning is a powerful and widely used method for analyzing high-
content screening data. Despite its accuracy, efficiency, and versatility, supervised machine …

Large-scale genetic perturbation screens are a classical approach in biology and have been
crucial for many discoveries. New technologies can now provide unbiased quantification of …

Segmenting single cells is a necessary process for extracting quantitative data from
biological microscopy imagery. The past decade has seen the advent of machine learning …

Cellular phenotypes are observable characteristics of cells resulting from the interactions of
intrinsic and extrinsic chemical or biochemical factors. Image‐based phenotypic screens …