bibtype J - Journal Article
ARLID 0460642
utime 20240103212401.8
mtime 20160712235959.9
WOS 000384332600003
SCOPUS 84964751084
DOI 10.1017/S143192761600074X
title (primary) (eng) Segmentation Method of Time-Lapse Microscopy Images with the Focus on Biocompatibility Assessment
specification
page_count 10 s.
media_type P
serial
ARLID cav_un_epca*0254367
ISSN 1431-9276
title Microscopy and Microanalysis
volume_id 22
volume 3 (2016)
page_num 497-506
publisher
name Cambridge University Press
keyword phase contrast microscopy
keyword segmentation
keyword biocompatibility assessment
keyword time-lapse
keyword cytotoxicity testing
author (primary)
ARLID cav_un_auth*0293859
full_dept (cz) Zpracování obrazové informace
full_dept (eng) Department of Image Processing
department (cz) ZOI
department (eng) ZOI
full_dept Department of Image Processing
name1 Soukup
name2 Jindřich
institution UTIA-B
country CZ
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author
ARLID cav_un_auth*0294148
name1 Císař
name2 P.
country CZ
author
ARLID cav_un_auth*0101209
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
full_dept Department of Image Processing
name1 Šroubek
name2 Filip
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
url http://library.utia.cas.cz/separaty/2016/ZOI/soukupj-0460642.pdf
cas_special
project
ARLID cav_un_auth*0301046
project_id LO1205
agency GA MŠk
country CZ
project
project_id 914813/2013
agency GA UK
country CZ
ARLID cav_un_auth*0309798
project
ARLID cav_un_auth*0331494
project_id SVV-2016-260332
agency GA UK
country CZ
project
ARLID cav_un_auth*0313923
project_id CZ.1.05/2.1.00/01.0024
agency CENAKVA
country CZ
project
ARLID cav_un_auth*0292734
project_id GA13-29225S
agency GA ČR
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
reportyear 2017
num_of_auth 3
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0260698
cooperation
ARLID cav_un_auth*0296001
name Univerzita Karlova v Praze, Matematicko-fyzikální fakulta
institution MFF UK
country CZ
cooperation
ARLID cav_un_auth*0300331
name Jihočeská univerzita v Českých Budějovicích, Fakulta rybářství a ochrany vod
country CZ
confidential S
mrcbC86 3+4 Article Materials Science Multidisciplinary|Microscopy
mrcbT16-e MATERIALSSCIENCEMULTIDISCIPLINARY|MICROSCOPY
mrcbT16-j 0.67
mrcbT16-s 0.310
mrcbT16-4 Q3
mrcbT16-B 49.928
mrcbT16-D Q3
mrcbT16-E Q4
arlyear 2016
mrcbU14 84964751084 SCOPUS
mrcbU24 27132464 PUBMED
mrcbU34 000384332600003 WOS
mrcbU63 cav_un_epca*0254367 Microscopy and Microanalysis 1431-9276 1435-8115 Roč. 22 č. 3 2016 497 506 Cambridge University Press