Literature DB >> 12817937

An objective method to measure cell survival by computer-assisted image processing of numeric images of Petri dishes.

Marie-Claude Biston1, Stéphanie Corde, Emmanuel Camus, Ramon Marti-Battle, François Estève, Jacques Balosso.   

Abstract

This work establishes an objective method to measure cell clonogenic survival by computer-assisted image processing using images of cell cultures fixed and stained in Petri dishes. The procedure, developed by Samba Technologies, consists of acquiring Petri dish pictures with a desktop scanner and analysing them by computer, using algorithms based on the 'top hat' filter. The results from the automated count for the cell line SQ20B are compared with those found by two observers, before and after normalization of the counting. After normalization, the shape of the survival curves of the 'manual' counting of the Petri dishes shows a good correlation between both observers. The software enables the small visible differences in count between observers to be eliminated. The comparison between the absolute number of colonies shows an increased difference between the two manual scorings that can be as great as 67 colonies, whereas the difference between the two automated counts is never greater than 8 colonies. These results demonstrate that the 'manual' count is inter- and intraobserver variable, whereas the automatic count performs reproducible cell colony counts, thereby minimizing user-generated bias. The large amount of data produced also gives information about cell and colony characteristics. Thus, this computer-assisted method has considerably improved the reliability of our statistical results.

Mesh:

Year:  2003        PMID: 12817937     DOI: 10.1088/0031-9155/48/11/305

Source DB:  PubMed          Journal:  Phys Med Biol        ISSN: 0031-9155            Impact factor:   3.609


  8 in total

1.  Cell colony counter called CoCoNut.

Authors:  Mattia Siragusa; Stefano Dall'Olio; Pil M Fredericia; Mikael Jensen; Torsten Groesser
Journal:  PLoS One       Date:  2018-11-07       Impact factor: 3.240

2.  Low-cost, high-throughput, automated counting of bacterial colonies.

Authors:  Matthew L Clarke; Robert L Burton; A Nayo Hill; Maritoni Litorja; Moon H Nahm; Jeeseong Hwang
Journal:  Cytometry A       Date:  2010-08       Impact factor: 4.355

3.  Comparative Analysis of Experimental Methods to Quantify Animal Activity in Caenorhabditis elegans Models of Mitochondrial Disease.

Authors:  Manuela Lavorato; Neal D Mathew; Nina Shah; Eiko Nakamaru-Ogiso; Marni J Falk
Journal:  J Vis Exp       Date:  2021-04-04       Impact factor: 1.355

4.  Automated counting of bacterial colony forming units on agar plates.

Authors:  Silvio D Brugger; Christian Baumberger; Marcel Jost; Werner Jenni; Urs Brugger; Kathrin Mühlemann
Journal:  PLoS One       Date:  2012-03-20       Impact factor: 3.240

5.  WormScan: a technique for high-throughput phenotypic analysis of Caenorhabditis elegans.

Authors:  Mark D Mathew; Neal D Mathew; Paul R Ebert
Journal:  PLoS One       Date:  2012-03-23       Impact factor: 3.240

6.  Counting colonies of clonogenic assays by using densitometric software.

Authors:  Maximilian Niyazi; Ismat Niyazi; Claus Belka
Journal:  Radiat Oncol       Date:  2007-01-09       Impact factor: 3.481

7.  Automated Wormscan.

Authors:  Timothy Puckering; Jake Thompson; Sushruth Sathyamurthy; Sinduja Sukumar; Tirosh Shapira; Paul Ebert
Journal:  F1000Res       Date:  2017-02-27

8.  Synchrotron radiation-based experimental determination of the optimal energy for cell radiotoxicity enhancement following photoelectric effect on stable iodinated compounds.

Authors:  S Corde; A Joubert; J F Adam; A M Charvet; J F Le Bas; F Estève; H Elleaume; J Balosso
Journal:  Br J Cancer       Date:  2004-08-02       Impact factor: 7.640

  8 in total

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