Automated Detection of Binucleated Cell and Micronuclei using CellProfiler 2.0 Software

  • DWI RAMADHANI Center for Technology of Radiation Safety and Metrology, National Nuclear Energy Agency of Indonesia, Jalan Lebak Bulus Raya No. 49, Kotak Pos 7043 JKSKL, Jakarta 12070, Indonesia
  • SOFIATI PURNAMI Center for Technology of Radiation Safety and Metrology, National Nuclear Energy Agency of Indonesia, Jalan Lebak Bulus Raya No. 49, Kotak Pos 7043 JKSKL, Jakarta 12070, Indonesia
Keywords: binucleated cells, CellProfiler, micronuclei, open source, software

Abstract

Micronucleus assay in human peripheral lymphocytes usually used to assess chromosomal damage. Manual scoring of micronuclei can be time consuming and large numbers of binucleated cells have to be analyzed to obtain statistically relevant data. Automation of the micronuclei analysis using image processing analysis software can provide a faster and more reliable analysis of micronucleus assay. Here the used of CellProfiler an open access cell image analysis software for automatic detection of binucleated cells and micronuclei were reported. We aimed to know whether there was a significant difference in the number of binucleated cells and micronuclei that obtained by manual and CellProfiler counting. Wilcoxon Rank test was used for statistical analysis to test H0 hypothesis that there was no significant difference in the number of binucleated cells and micronuclei that obtained by manual and CellProfiler counting. We analyzed 135 images for both manual and CellProfiler counting. Our results showed that there was no significant difference between manual and CellProfiler counting for binucleated cells (P = 0.851) and for micronuclei (P = 0.917). In conclusion, the binucleated cells and micronuclei counting using CellProfiler were comparable but not better than manual counting.

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Published
2013-12-31