bibtype	C - Conference Paper (international conference)
ARLID	0435026
utime	20240103205032.0
mtime	20141120235959.9
title (primary) (eng)	Segmentation of Individual Cells in Phase Contrast Microscopy Images
specification	page_count 6 s. media_type P
serial	ARLID cav_un_epca*0435025 ISBN 1-901725-51-0 title Proceedings of the 18th Conference on Medical Image Understanding and Analysis page_num 185-190 publisher place London name City University London year 2014 editor name1 Reyes-Aldasoro name2 Constantino Carlos editor name1 Slabaugh name2 Greg
keyword	image segmentation
keyword	phase contrast microscopy
keyword	time-lapse imaging
author (primary)	ARLID cav_un_auth*0293859 name1 Soukup name2 Jindřich full_dept (cz) Zpracování obrazové informace full_dept (eng) Department of Image Processing department (cz) ZOI department (eng) ZOI institution UTIA-B full_dept Department of Image Processing fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
author	ARLID cav_un_auth*0309796 name1 Lašan name2 M. country CZ
author	ARLID cav_un_auth*0101209 name1 Šroubek name2 Filip full_dept (cz) Zpracování obrazové informace full_dept Department of Image Processing department (cz) ZOI department ZOI institution UTIA-B full_dept Department of Image Processing fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source	url http://library.utia.cas.cz/separaty/2014/ZOI/soukup-0435026.pdf
cas_special	project project_id LO1205 agency GA MŠk country CZ ARLID cav_un_auth*0301046 project project_id 134/2013/Z agency GAJU country CZ ARLID cav_un_auth*0309797 project project_id 914813/2013 agency GA UK country CZ ARLID cav_un_auth*0309798 project project_id GA13-29225S agency GA ČR ARLID cav_un_auth*0292734 project project_id CZ.1.05/2.1.00/ 01.0024 agency OP VaVpI country CZ ARLID cav_un_auth*0313923 abstract (eng) Phase contrast microscopy is widely used for live cell imaging. Automatic computer processing of phase-contrast images is complicated, particularly because of the halos that are present around the cells. We introduce a new algorithm able to segment individual cells by using the halos. The halos between cells are detected by thresholding and skeletonization, and gaps in the edges are filled in using Dijkstra’s algorithm. The result of the algorithm was compared with the results of manual segmentation performed by a human expert and evaluated on level of precision of individual cells’ edges. The source code and test data, including the manual segmentation are made available to the public. action ARLID cav_un_auth*0309554 name Medical Image Understanding and Analysis 2014 place London dates 09.07.2014-11.07.2014 country GB reportyear 2015 RIV JD num_of_auth 3 presentation_type PO inst_support RVO:67985556 permalink http://hdl.handle.net/11104/0239120 cooperation ARLID cav_un_auth*0296001 institution MFF UK name Univerzita Karlova v Praze, Matematicko-fyzikální fakulta country CZ cooperation ARLID cav_un_auth*0300331 name Jihočeská univerzita v Českých Budějovicích, Fakulta rybářství a ochrany vod country CZ confidential S arlyear 2014 mrcbU63 cav_un_epca*0435025 Proceedings of the 18th Conference on Medical Image Understanding and Analysis 1-901725-51-0 185 190 London City University London 2014 mrcbU67 Reyes-Aldasoro Constantino Carlos 340 mrcbU67 Slabaugh Greg 340