This HTML5 document contains 43 embedded RDF statements represented using HTML+Microdata notation.

The embedded RDF content will be recognized by any processor of HTML5 Microdata.

Namespace Prefixes

PrefixIRI
n20http://linked.opendata.cz/ontology/domain/vavai/riv/typAkce/
dctermshttp://purl.org/dc/terms/
n13http://purl.org/net/nknouf/ns/bibtex#
n7http://linked.opendata.cz/resource/domain/vavai/projekt/
n5http://linked.opendata.cz/resource/domain/vavai/riv/tvurce/
n21http://linked.opendata.cz/ontology/domain/vavai/
n10https://schema.org/
n4http://linked.opendata.cz/resource/domain/vavai/zamer/
n19http://linked.opendata.cz/resource/domain/vavai/vysledek/RIV%2F67985556%3A_____%2F09%3A00332092%21RIV10-MSM-67985556/
shttp://schema.org/
skoshttp://www.w3.org/2004/02/skos/core#
n3http://linked.opendata.cz/ontology/domain/vavai/riv/
n2http://linked.opendata.cz/resource/domain/vavai/vysledek/
rdfhttp://www.w3.org/1999/02/22-rdf-syntax-ns#
n9http://linked.opendata.cz/ontology/domain/vavai/riv/klicoveSlovo/
n11http://linked.opendata.cz/ontology/domain/vavai/riv/duvernostUdaju/
xsdhhttp://www.w3.org/2001/XMLSchema#
n16http://linked.opendata.cz/ontology/domain/vavai/riv/jazykVysledku/
n14http://linked.opendata.cz/ontology/domain/vavai/riv/aktivita/
n18http://linked.opendata.cz/ontology/domain/vavai/riv/druhVysledku/
n17http://linked.opendata.cz/ontology/domain/vavai/riv/obor/
n12http://reference.data.gov.uk/id/gregorian-year/

Statements

Subject Item
n2:RIV%2F67985556%3A_____%2F09%3A00332092%21RIV10-MSM-67985556
rdf:type
skos:Concept n21:Vysledek
dcterms:description
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. 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.
dcterms:title
Using Matlab in quantitative analysis of yeast growth Using Matlab in quantitative analysis of yeast growth
skos:prefLabel
Using Matlab in quantitative analysis of yeast growth Using Matlab in quantitative analysis of yeast growth
skos:notation
RIV/67985556:_____/09:00332092!RIV10-MSM-67985556
n3:aktivita
n14:Z n14:P
n3:aktivity
P(1M0567), Z(AV0Z10750506)
n3:dodaniDat
n12:2010
n3:domaciTvurceVysledku
n5:5081068 n5:2365030
n3:druhVysledku
n18:D
n3:duvernostUdaju
n11:S
n3:entitaPredkladatele
n19:predkladatel
n3:idSjednocenehoVysledku
347991
n3:idVysledku
RIV/67985556:_____/09:00332092
n3:jazykVysledku
n16:eng
n3:klicovaSlova
image processing; Petri dish; Matlab; image segmentation
n3:klicoveSlovo
n9:Matlab n9:Petri%20dish n9:image%20processing n9:image%20segmentation
n3:kontrolniKodProRIV
[1937ECC95259]
n3:mistoKonaniAkce
Praha
n3:mistoVydani
Praha
n3:nazevZdroje
Technical Computing Prague 2009
n3:obor
n17:JC
n3:pocetDomacichTvurcuVysledku
2
n3:pocetTvurcuVysledku
2
n3:projekt
n7:1M0567
n3:rokUplatneniVysledku
n12:2009
n3:tvurceVysledku
Schier, Jan Kovář, Bohumil
n3:typAkce
n20:EUR
n3:zahajeniAkce
2009-11-19+01:00
n3:zamer
n4:AV0Z10750506
s:numberOfPages
9
n13:hasPublisher
Humusoft, s.r.o
n10:isbn
978-80-7080-733-0