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Clonogenic assay evaluates the potential of cells to undergo division or generate clones following treatment with a chemical or other agent, thereby allowing the evaluation of cytotoxic and/or antiproliferative effects. Clonogenic assay analysis using traditional methods tends to be time-consuming and yield inconsistent results, whereas results from analyses conducted using automated image processing methods may be misleading or subject to misinterpretation. Thus, the aim of this work was to validate and demonstrate the applicability of a recently developed software.

Repeatability of measurements was evaluated by comparing results from 10 replicate images from a single well. To evaluate the viability of the software, results were compared with those obtained from manual counting, crystal violet optical density, and up-to-date automated methods. A clonogenic index was experimentally …