Facetto is a scalable visual analytics application that is used to discover single-cell
phenotypes in high-dimensional multi-channel microscopy images of human tumors and …

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

Abstract High Content Screening (HCS) technologies that combine automated fluorescence
microscopy with high throughput biotechnology have become powerful systems for studying …

Morphological profiling aims to create signatures of genes, chemicals and diseases from
microscopy images. Current approaches use classical computer vision-based segmentation …

Abstract Analysis of cellular phenotypes in large imaging data sets conventionally involves
supervised statistical methods, which require user-annotated training data. This paper …

Machine learning (ML) refers to a set of automatic pattern recognition methods that have
been successfully applied across various problem domains, including biomedical image …

Existing computational pipelines for quantitative analysis of high‐content microscopy data
rely on traditional machine learning approaches that fail to accurately classify more than a …

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 …

Careful visual examination of biological samples is quite powerful, but many visual analysis
tasks done in the laboratory are repetitive, tedious, and subjective. Here we describe the use …

Background Light microscopy is of central importance in cell biology. The recent introduction
of automated high content screening has expanded this technology towards automation of …