High-content, imaging-based screens now routinely generate data on a scale that precludes
manual verification and interrogation. Software applying machine learning has become an …

Modern automated microscopes collect digital images at an astonishing pace. Automated
image analysis can measure biological phenotypes quantitatively and reliably, and has …

Biological imaging is now a quantitative technique for probing cellular structure and
dynamics and is increasingly used for cell-based screens. However, the bioinformatics tools …

Microscopy is a powerful tool for characterizing complex cellular phenotypes, but linking
these phenotypes to genotype or RNA expression at scale remains challenging. Here, we …

Background Image-based screens can produce hundreds of measured features for each of
hundreds of millions of individual cells in a single experiment. Results Here, we describe …

CellProfiler has enabled the scientific research community to create flexible, modular image
analysis pipelines since its release in 2005. Here, we describe CellProfiler 3.0, a new …

Modern biological research increasingly relies on image data as a primary source of
information in unraveling the cellular and molecular mechanisms of life. The quantity and …

Automated image analysis provides a powerful tool when quantifying various characteristics
of cell populations. Previously, the validation of image analysis results has been a task of …

EBImage provides general purpose functionality for reading, writing, processing and
analysis of images. Furthermore, in the context of microscopy-based cellular assays …

Accurate cancer detection and diagnosis is of utmost importance for reliable drug-response
prediction. Successful cancer characterization relies on both genetic analysis and …