Cell states on the basis of manual detection

Romanova K., Stys D.

Faculty of Fisheries and Protection of Waters, School of Complex Systems, University of South Bohemia, Zámek 136, 373 33 Nové Hrady, Czech Republic

Living cells are dynamic objects which occupy certain region of space and time. The time-lapse microscopy experiment is the best way how to observe dynamic of living cells during their life. The main aim of investigation was analysis of cell states during cell cycle using method which was discovered in our Institute. As an object of our experiment we observed cell line MG63.

For our analysis we need to extract cells from time-lapse images. This was done manually, using software “Expertomica CellMarkerSci”. We calculate Rényi entropy for every image using different Rényi coefficient values. The colour channels and different Rényi entropy coefficients may be combined to best discriminate individual states. For the processing of data was used software Unscrambler X 10.1, which provided principal component analysis (PCA) and clustering analysis for divided obtained data into several clusters. Number of cells and position in clusters depends on number of clusters, so each cluster contains different images. We were able to find cell state corresponding to each of the clusters. Such detailed analysis is extremely computationally intensive; however, it might be of high value for rapid diagnostics in medicine, biotechnology and any other discipline utilizing cell biology results.