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 …

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

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 …

OBJECTIVE: Image-based approaches have proven to be of great utility in the automated
cell phenotype classification, it is very important to develop a method that efficiently …

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

The ongoing biotechnology revolution promises a complete understanding of the
mechanisms by which cells and tissues carry out their functions. Central to that goal is the …

Motivation Identifying phenotypes based on high-content cellular images is challenging.
Conventional image analysis pipelines for phenotype identification comprise multiple …

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 …

Proteomics, the large scale identification and characterization of many or all proteins
expressed in a given cell type, has become a major area of biological research. In addition …

Background Fluorescence microscopy is widely used to determine the subcellular location
of proteins. Efforts to determine location on a proteome-wide basis create a need for …