cellXpress : a fast and user-friendly software platform for profiling cellular phenotypes

• Main Authors: Laksameethanasan, Danai, Tan, Rui Zhen, Toh, Geraldine Wei-Ling, Loo, Lit-Hsin
• Other Authors: School of Computer Engineering
• Format: Article
• Language: English
• Published: 2014
• Subjects: DRNTU::Engineering::Computer science and engineering::Computer applications::Life and medical sciences
• Online Access: https://hdl.handle.net/10356/79321; http://hdl.handle.net/10220/18433
• Institution: Nanyang Technological University

Background: High-throughput, image-based screens of cellular responses to genetic or chemical perturbations generate huge numbers of cell images. Automated analysis is required to quantify and compare the effects of these perturbations. However, few of the current freely-available bioimage analysis...