Many biological pathways were first uncovered by identifying mutants with visible
phenotypes and by scoring every sample in a screen via tedious and subjective visual …

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

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 …

With recent advances in high-throughput, automated microscopy, there has been an
increased demand for effective computational strategies to analyze large-scale, image …

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 …

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 …

Phenotypic image analysis is the task of recognizing variations in cell properties using
microscopic image data. These variations, produced through a complex web of interactions …

Background The genomic revolution has led to rapid growth in sequencing of genes and
proteins, and attention is now turning to the function of the encoded proteins. In this respect …

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

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 …