MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation

MF2C3: Multi-Feature Fuzzy Clustering to Enhance Cell Colony Detection in Automated Clonogenic Assay Evaluation

A clonogenic assay is a biological technique for calculating the Surviving Fraction (SF) that quantifies the anti-proliferative effect of treatments on cell cultures: this evaluation is often performed via manual counting of cell colony-forming units. Unfortunately, this procedure is error-prone and...

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Bibliographic Details
Main Authors: Carmelo Militello, Leonardo Rundo, Luigi Minafra, Francesco Paolo Cammarata, Marco Calvaruso, Vincenzo Conti, Giorgio Russo
Format: Article
Language:English
Published: MDPI AG 2020-05-01
Series:Symmetry
Subjects:
clonogenic assay
automatic cell colony detection
spatial fuzzy c-means clustering
multi-feature clustering
entropy
standard deviation
Online Access:https://www.mdpi.com/2073-8994/12/5/773

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https://www.mdpi.com/2073-8994/12/5/773

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