Segmentation Method of Time-Lapse Microscopy Images with the Focus on Biocompatibility Assessment

0460642 - ÚTIA 2017 RIV US eng J - Journal Article
Soukup, Jindřich - Císař, P. - Šroubek, Filip
Segmentation Method of Time-Lapse Microscopy Images with the Focus on Biocompatibility Assessment.
Microscopy and Microanalysis. Roč. 22, č. 3 (2016), s. 497-506. ISSN 1431-9276. E-ISSN 1435-8115
R&D Projects: GA ČR GA13-29225S
Grant - others:GA MŠk(CZ) LO1205; GA UK(CZ) 914813/2013; GA UK(CZ) SVV-2016-260332; CENAKVA(CZ) CZ.1.05/2.1.00/01.0024
Institutional support: RVO:67985556
Keywords : phase contrast microscopy * segmentation * biocompatibility assessment * time-lapse * cytotoxicity testing
Subject RIV: JD - Computer Applications, Robotics
Impact factor: 1.891, year: 2016
http://library.utia.cas.cz/separaty/2016/ZOI/soukupj-0460642.pdf

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.
Permanent Link: http://hdl.handle.net/11104/0260698