title: High-Throughput Method for Automated Colony and Cell Counting by Digital Image Analysis Based on Edge Detection.
abstract: Counting cells and colonies is an integral part of high-throughput screens and quantitative cellular assays. Due to its subjective and time-intensive nature, manual counting has hindered the adoption of cellular assays such as tumor spheroid formation in high-throughput screens. The objective of this study was to develop an automated method for quick and reliable counting of cells and colonies from digital images. For this purpose, I developed an ImageJ macro Cell Colony Edge and a CellProfiler Pipeline Cell Colony Counting, and compared them to other open-source digital methods and manual counts. The ImageJ macro Cell Colony Edge is valuable in counting cells and colonies, and measuring their area, volume, morphology, and intensity. In this study, I demonstrate that Cell Colony Edge is superior to other open-source methods, in speed, accuracy and applicability to diverse cellular assays. It can fulfill the need to automate colony/cell counting in high-throughput screens, colony forming assays, and cellular assays.
authors: Department of Chemistry, California Institute of Technology, Pasadena, California, United States of America.
authors: Priya
authors: P
authors: Choudhry
mesh_terms: D001331:Automation; D001419:Bacteria / Q000166:cytology; D002452:Cell Count / Q000379:methods*; D045744:Cell Line, Tumor; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D057054:Molecular Imaging; D012984:Software; D018874:Spheroids, Cellular / Q000473:pathology; D015003:Yeasts / Q000166:cytology