Automatic Image-Based Method for Quantitative Analysis of Photosynthetic Cell Cultures
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F86652079%3A_____%2F16%3A00460374" target="_blank" >RIV/86652079:_____/16:00460374 - isvavai.cz</a>
Alternative codes found
RIV/70883521:28140/16:43874682
Result on the web
<a href="http://dx.doi.org/10.1007/978-3-319-32034-2_34" target="_blank" >http://dx.doi.org/10.1007/978-3-319-32034-2_34</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-319-32034-2_34" target="_blank" >10.1007/978-3-319-32034-2_34</a>
Alternative languages
Result language
angličtina
Original language name
Automatic Image-Based Method for Quantitative Analysis of Photosynthetic Cell Cultures
Original language description
This work deals with an automatic quantitative analysis of photosynthetic cell cultures. It uses images captured by a confocal fluorescent microscope for automatic determination the number of cells in sample containing complex 3D structure of cell clusters. Experiments were performed on the confocal microscope Leica TCS SP8 X. The cell nuclei were stained by SYBR Green fluorescent DNA binding marker. In the first step we used combination of adaptive thresholding to found out areas where nuclei were located. Proposed segmentation steps allowed reduction of noise and artefacts. Z-axis position was obtained as a location of peak from intensity profile. Finally model of scene can be created by emplacement of spheres with adequate diameter to found 3D coordinates. Number of cells per volumetric unit were determined in structurally different culture samples of cell cultures Chenopodium rubrum (Cr) and Solanum lycopersicum (To). The results were verified by manual counting
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
EH - Ecology - communities
OECD FORD branch
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Result continuities
Project
<a href="/en/project/LO1415" target="_blank" >LO1415: CzechGlobe 2020 – Development of the Centre of Global Climate Change Impacts Studies</a><br>
Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Hybrid Artificial Intelligent Systems: 11th International Conference, HAIS 2016, Seville, Spain, April 18-20, 2016, Proceedings
ISBN
978-3-319-32033-5
ISSN
0302-9743
e-ISSN
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Number of pages
12
Pages from-to
402-103
Publisher name
Springer International Publishing
Place of publication
Cham
Event location
Seville
Event date
Apr 18, 2016
Type of event by nationality
EUR - Evropská akce
UT code for WoS article
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