Many drugs, or their antecedents, were discovered through observation of their effects on
normal or disease physiology. For the past generation, this phenotypic drug discovery …

Image-based profiling is a maturing strategy by which the rich information present in
biological images is reduced to a multidimensional profile, a collection of extracted image …

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 …

Deep learning describes a class of machine learning algorithms that are capable of
combining raw inputs into layers of intermediate features. These algorithms have recently …

Image-based cell profiling is a high-throughput strategy for the quantification of phenotypic
differences among a variety of cell populations. It paves the way to studying biological …

The complex interaction of cells with biomaterials (ie, materiobiology) plays an increasingly
pivotal role in the development of novel implants, biomedical devices, and tissue …

Measuring the phenotypic effect of treatments on cells through imaging assays is an efficient
and powerful way of studying cell biology, and requires computational methods for …

Identifying nuclei is often a critical first step in analyzing microscopy images of cells and
classical image processing algorithms are most commonly used for this task. Recent …

In both academia and the pharmaceutical industry, large-scale assays for drug discovery are
expensive and often impractical, particularly for the increasingly important physiologically …

A cell's phenotype is the culmination of several cellular processes through a complex
network of molecular interactions that ultimately result in a unique morphological signature …