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 |
|
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 |
|