Automated Detection of Binucleated Cell and Micronuclei using CellProfiler 2.0 Software  

Oleh:

Ramadhani, Dwi ; Purnami, Sofiati

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: Hayati Journal of Biosciences vol. 20 no. 04 (Dec. 2013), page 151-156.
Topik: binucleated cells; CellProfiler; micronuclei; open source; software
Fulltext: 7313-20815-1-PB_Ros.pdf (560.51KB)

Isi artikel

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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