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Statements

Subject Item
n2:RIV%2F60076658%3A12640%2F06%3A00006791%21RIV07-MSM-12640___
rdf:type
skos:Concept n7:Vysledek
dcterms:description
V publikaci popisujeme problematiku detekce infekce arabidopsis thaliana bakterií pseudomonas syringae pomocí zobrazovací chlorofylové fluorometrie. Porovnáváme výhody a možnosti konvenčního přístupu a metody nazvané kombinatorické zobrazování. Kombinatorické zobrazování využívá výhod metod selekce příznaků a klasifikace a umožňuje detekovat infekci výrazně dříve než konvenčním přístupem. Výhody tohoto přístupu jsou demonstrovány na schopnostech detekovat infekci na listech rostlin, detekovat její fázi a schopnosti ohodnotit informační přínos jednotlivých částí měřícího protokolu. Localized infection of a plant can be mapped by a sequence of images capturing chlorophyll fluorescence transients in actinic light. Choice of the actinic light protocol co-determines fluorescence contrast between infected leaf segment and surrounding healthy tissue. Frequently, biology cannot predict with which irradiance protocol, in which fluorescence image of the sequence, and in which segment of the image there will be the highest contrast between the healthy and infected tissue. Here, we introduce a new technique that can be applied to identify the combination of chlorophyll fluorescence images yielding the highest contrast. The sets of the most contrasting images vary throughout the progress of the infection. Such specific image sets, stress-revealing fluorescence signatures, can be found for the initial and late phases of the infection. Using these signatures, images can be divided into segments that show tissue in different infection phases. We demonstrate the capacity of the algorithm in an Localized infection of a plant can be mapped by a sequence of images capturing chlorophyll fluorescence transients in actinic light. Choice of the actinic light protocol co-determines fluorescence contrast between infected leaf segment and surrounding healthy tissue. Frequently, biology cannot predict with which irradiance protocol, in which fluorescence image of the sequence, and in which segment of the image there will be the highest contrast between the healthy and infected tissue. Here, we introduce a new technique that can be applied to identify the combination of chlorophyll fluorescence images yielding the highest contrast. The sets of the most contrasting images vary throughout the progress of the infection. Such specific image sets, stress-revealing fluorescence signatures, can be found for the initial and late phases of the infection. Using these signatures, images can be divided into segments that show tissue in different infection phases. We demonstrate the capacity of the algorithm in an
dcterms:title
Kombinatorické zobrazování: Jaký protokol a které chlorofylové fluorescenční obrazy použít pro vizualizaci infekce arabidopsis thaliana bakterií pseudomonas syringae. Case study of combinatorial imaging: What protocol and what chlorophyll fluorescence image to use when visualizing infection of Arabidopsis thaliana by Pseudomonas syringae? Case study of combinatorial imaging: What protocol and what chlorophyll fluorescence image to use when visualizing infection of Arabidopsis thaliana by Pseudomonas syringae?
skos:prefLabel
Case study of combinatorial imaging: What protocol and what chlorophyll fluorescence image to use when visualizing infection of Arabidopsis thaliana by Pseudomonas syringae? Case study of combinatorial imaging: What protocol and what chlorophyll fluorescence image to use when visualizing infection of Arabidopsis thaliana by Pseudomonas syringae? Kombinatorické zobrazování: Jaký protokol a které chlorofylové fluorescenční obrazy použít pro vizualizaci infekce arabidopsis thaliana bakterií pseudomonas syringae.
skos:notation
RIV/60076658:12640/06:00006791!RIV07-MSM-12640___
n4:strany
243-253
n4:aktivita
n9:Z n9:S
n4:aktivity
S, Z(MSM6007665808)
n4:cisloPeriodika
3
n4:dodaniDat
n10:2007
n4:domaciTvurceVysledku
n5:2777991 n5:3910830 n5:4931718
n4:druhVysledku
n13:J
n4:duvernostUdaju
n11:S
n4:entitaPredkladatele
n17:predkladatel
n4:idSjednocenehoVysledku
467817
n4:idVysledku
RIV/60076658:12640/06:00006791
n4:jazykVysledku
n18:eng
n4:klicovaSlova
biotic stress; chlorophyll fluorescence; classification; fluorescence induction; forced oscillations; image processing; image segmentation
n4:klicoveSlovo
n8:biotic%20stress n8:forced%20oscillations n8:chlorophyll%20fluorescence n8:image%20segmentation n8:classification n8:fluorescence%20induction n8:image%20processing
n4:kodStatuVydavatele
NL - Nizozemsko
n4:kontrolniKodProRIV
[8DA32D23A89C]
n4:nazevZdroje
Photosynthesis Research
n4:obor
n14:BO
n4:pocetDomacichTvurcuVysledku
3
n4:pocetTvurcuVysledku
5
n4:rokUplatneniVysledku
n10:2006
n4:svazekPeriodika
90
n4:tvurceVysledku
Berger, Susanne Roitsch, Thomas Matouš, Karel Benediktyová, Zuzana Nedbal, Ladislav
n4:zamer
n16:MSM6007665808
s:issn
0166-8595
s:numberOfPages
11
n12:organizacniJednotka
12640