bibtype M - Monography Chapter
ARLID 0381971
utime 20240111140821.2
mtime 20121031235959.9
title (primary) (eng) Simple Tool for Semi-automated Evaluation of Yeast Colony Images
specification
page_count 16 s.
media_type E
book_pages 410
serial
ARLID cav_un_epca*0381970
ISBN 978-3-642-29751-9
title Biomedical Engineering Systems and Technologies, 4th International Joint Conference, BIOSTEC 2011, Revised Selected Papers
part_title Communications in Computer and Information Science
page_num 110-125
publisher
place Berlin
name Springer
year 2013
editor
name1 Fred
name2 Ana
editor
name1 Filipe
name2 Joaquim
editor
name1 Gamboa
name2 Hugo
keyword Colony counting
keyword Petri dish evaluation
keyword software tool
author (primary)
ARLID cav_un_auth*0101190
name1 Schier
name2 Jan
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*0101136
name1 Kovář
name2 Bohumil
full_dept (cz) Zpracování obrazové informace
full_dept Department of Image Processing
department (cz) ZOI
department ZOI
institution UTIA-B
fullinstit Ústav teorie informace a automatizace AV ČR, v. v. i.
source
source_type soubor typu PDF
url http://library.utia.cas.cz/separaty/2012/ZS/schier-simple tool for semi-automated evaluation of yeast colony images.pdf
cas_special
project
project_id TA01010931
agency GA TA ČR
ARLID cav_un_auth*0272418
abstract (eng) A tool for semi-automated evaluation of images of yeast colonies is presented in the paper. The input data for the tool is a batch of Petri dish images, possibly in nested directories, the output is written to a text file in a simple CSV (comma-separated values) format. The tool is designed to evaluate, for each dish image, the relative coverage of the dish and the number of colonies contained in the dish. It is intended for use in a research laboratory, where a general-purpose imaging setup is used to take the images, which are then processed off-line. In the paper, the characteristic features of the yeast colony images are described and the processing flow and the user interface of the tool are reviewed. The performance of the counting is evaluated using a test set of 245 images with typical relative coverage of less than 10%.
reportyear 2014
RIV JC
inst_support RVO:67985556
permalink http://hdl.handle.net/11104/0212324
arlyear 2013
mrcbU56 soubor typu PDF
mrcbU63 cav_un_epca*0381970 Biomedical Engineering Systems and Technologies, 4th International Joint Conference, BIOSTEC 2011, Revised Selected Papers 978-3-642-29751-9 110 125 Berlin Springer 2013 273 Communications in Computer and Information Science
mrcbU67 Fred Ana 340
mrcbU67 Filipe Joaquim 340
mrcbU67 Gamboa Hugo 340