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| Description
| - 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 (en)
- 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. (cs)
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| Title
| - 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? (en)
- Kombinatorické zobrazování: Jaký protokol a které chlorofylové fluorescenční obrazy použít pro vizualizaci infekce arabidopsis thaliana bakterií pseudomonas syringae. (cs)
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| 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? (en)
- Kombinatorické zobrazování: Jaký protokol a které chlorofylové fluorescenční obrazy použít pro vizualizaci infekce arabidopsis thaliana bakterií pseudomonas syringae. (cs)
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| skos:notation
| - RIV/60076658:12640/06:00006791!RIV07-MSM-12640___
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| http://linked.open.../vavai/riv/strany
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| http://linked.open...avai/riv/aktivita
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| http://linked.open...avai/riv/aktivity
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| http://linked.open...iv/cisloPeriodika
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| http://linked.open...vai/riv/dodaniDat
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| http://linked.open...aciTvurceVysledku
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| http://linked.open.../riv/druhVysledku
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| http://linked.open...iv/duvernostUdaju
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| http://linked.open...titaPredkladatele
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| http://linked.open...dnocenehoVysledku
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| http://linked.open...ai/riv/idVysledku
| - RIV/60076658:12640/06:00006791
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| http://linked.open...riv/jazykVysledku
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| http://linked.open.../riv/klicovaSlova
| - biotic stress; chlorophyll fluorescence; classification; fluorescence induction; forced oscillations; image processing; image segmentation (en)
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| http://linked.open.../riv/klicoveSlovo
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| http://linked.open...odStatuVydavatele
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| http://linked.open...ontrolniKodProRIV
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| http://linked.open...i/riv/nazevZdroje
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| http://linked.open...in/vavai/riv/obor
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| http://linked.open...ichTvurcuVysledku
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| http://linked.open...cetTvurcuVysledku
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| http://linked.open...UplatneniVysledku
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| http://linked.open...v/svazekPeriodika
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| http://linked.open...iv/tvurceVysledku
| - Nedbal, Ladislav
- Benediktyová, Zuzana
- Roitsch, Thomas
- Matouš, Karel
- Berger, Susanne
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| http://linked.open...n/vavai/riv/zamer
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| issn
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| number of pages
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| http://localhost/t...ganizacniJednotka
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| is http://linked.open...avai/riv/vysledek
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