Institute of Information Theory and Automation

Publication details

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

Journal Article

Soukup Jindřich, Císař P., Šroubek Filip


serial: Microscopy and Microanalysis vol.22, 3 (2016), p. 497-506

project(s): LO1205, GA MŠk, 914813/2013, GA UK, SVV-2016-260332, GA UK, CZ.1.05/2.1.00/01.0024, CENAKVA, GA13-29225S, GA ČR

keywords: phase contrast microscopy, segmentation, biocompatibility assessment, time-lapse, cytotoxicity testing

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abstract (eng):

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.

RIV: JD

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Last modification: 21.12.2012
Institute of Information Theory and Automation