Using Matlab in quantitative analysis of yeast growth

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985556%3A_____%2F09%3A00332092" target="_blank" >RIV/67985556:_____/09:00332092 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Using Matlab in quantitative analysis of yeast growth

Popis výsledku v původním jazyce

Quantitative growth analysis is used in microbiology, genetics and medical re- search to determine the in uence of the tested substance on the growth of colonies of some organism (we focus on yeast colonies in this paper). Examples of the tested substance include antibiotics, mutagens or medical drugs. To evaluate the experiment, time series of images of the colonies inoculated on Petri dishes are taken by digital camera in a darkroom. Then, relative area and the number of the colonies in each image have to be determined for further statistical processing. In the current laboratory practice, these parameters have often been hand-counted in each image, which is an error-prone process of a limited precision. Also, given the time demands of this hand-counting, the number of snapshots that can reasonably be processed is rather limited. In this paper, we introduce a Matlab-based tool for semi-automated processing of the dish images.

Název v anglickém jazyce

Using Matlab in quantitative analysis of yeast growth

Popis výsledku anglicky

Quantitative growth analysis is used in microbiology, genetics and medical re- search to determine the in uence of the tested substance on the growth of colonies of some organism (we focus on yeast colonies in this paper). Examples of the tested substance include antibiotics, mutagens or medical drugs. To evaluate the experiment, time series of images of the colonies inoculated on Petri dishes are taken by digital camera in a darkroom. Then, relative area and the number of the colonies in each image have to be determined for further statistical processing. In the current laboratory practice, these parameters have often been hand-counted in each image, which is an error-prone process of a limited precision. Also, given the time demands of this hand-counting, the number of snapshots that can reasonably be processed is rather limited. In this paper, we introduce a Matlab-based tool for semi-automated processing of the dish images.

Druh

D - Stať ve sborníku

CEP obor

JC - Počítačový hardware a software

OECD FORD obor

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Projekt

<a href="/cs/project/1M0567" target="_blank" >1M0567: Centrum aplikované kybernetiky</a><br>

Návaznosti

Z - Vyzkumny zamer (s odkazem do CEZ)

Rok uplatnění

2009

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Technical Computing Prague 2009

ISBN

978-80-7080-733-0

ISSN

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e-ISSN

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Počet stran výsledku

9

Strana od-do

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Název nakladatele

Humusoft, s.r.o

Místo vydání

Praha

Místo konání akce

Praha

Datum konání akce

19. 11. 2009

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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