0460642 20240103212401.820160712235959.9 000384332600003 84964751084 10.1017/S143192761600074X 10 s. P cav_un_epca*02543671431-9276223 (2016)497-506Cambridge University Press phase contrast microscopy segmentation biocompatibility assessment time-lapse cytotoxicity testing cav_un_auth*0293859 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Soukup Jindřich UTIA-B CZ Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0294148 Císař P. CZ cav_un_auth*0101209 Zpracování obrazové informace Department of Image Processing ZOI ZOI Department of Image Processing Šroubek Filip UTIA-B Ústav teorie informace a automatizace AV ČR, v. v. i. http://library.utia.cas.cz/separaty/2016/ZOI/soukupj-0460642.pdf cav_un_auth*0301046 LO1205 GA MŠk CZ 914813/2013 GA UK CZ cav_un_auth*0309798 cav_un_auth*0331494 SVV-2016-260332 GA UK CZ cav_un_auth*0313923 CZ.1.05/2.1.00/01.0024 CENAKVA CZ cav_un_auth*0292734 GA13-29225S GA ČR Biocompatibility testing of new materials is often performed in vitro by measuring the growth rate of mammalian cancer cells in time-lapse images acquired by phase contrast microscopes. The growth rate is measured by tracking cell coverage, which requires an accurate automatic segmentation method. However, cancer cells have irregular shapes that change over time, the mottled background pattern is partially visible through the cells and the images contain artifacts such as halos. We developed a novel algorithm for cell segmentation that copes with the mentioned challenges. It is based on temporal differences of consecutive images and a combination of thresholding, blurring and morphological operations. We tested the algorithm on images of four cell types acquired by two different microscopes, evaluated the precision of segmentation against manual segmentation performed by a human operator and finally provided comparison with other freely available methods. JD 2017 3 RVO:67985556 http://hdl.handle.net/11104/0260698 cav_un_auth*0296001 Univerzita Karlova v Praze, Matematicko-fyzikální fakulta MFF UK CZ cav_un_auth*0300331 Jihočeská univerzita v Českých Budějovicích, Fakulta rybářství a ochrany vod CZ S 3+4 Article Materials Science Multidisciplinary|Microscopy MICROSCOPY|MATERIALSSCIENCE.MULTIDISCIPLINARY 1.985 0.275 5.4 0.00854 0.67 3278 0.310 Q3 1.750 138 Q2 49.928 58.8 Q3 Q3 65 2016 84964751084 SCOPUS 27132464 PUBMED 000384332600003 WOS cav_un_epca*0254367 Microscopy and Microanalysis 1431-9276 1435-8115 Roč. 22 č. 3 2016 497 506 Cambridge University Press