Open AccessImage-Based High-Throughput Quantification of Cellular Fat Accumulation
Author(s) -
Michael Dragunow,
Rachel Cameron,
Pritika Narayan,
Simon J. O’Carroll
Publication year - 2007
Publication title -
slas discovery
Language(s) - English
Resource type - Journals
eISSN - 2472-5560
pISSN - 2472-5552
DOI - 10.1177/1087057107306502
Subject(s) - thresholding , microscopy , throughput , biomedical engineering , image processing , artificial intelligence , computer vision , image (mathematics) , computer science , biological system , microbiology and biotechnology , biology , optics , physics , medicine , telecommunications , wireless
A number of biochemical methods are available for measuring fat accumulation in cell culture. The authors report a simple image-based method for measuring fat accumulation in adipocytes using a combination of high-throughput brightfield microscopy and image analysis, which was validated biochemically using Oil-Red-O. The quickest and most accurate method of analysis was one based on thresholding brightfield images and determining the area of fat droplets per image. Thus, the authors have developed a simple high-throughput, label-free method for measuring fat accumulation that is applicable to any cell or tissue type where fat droplets are visible under light microscopy.