Advanced Multi-Color Fluorescence Imaging System for Detection of Biotic and Abiotic Stresses in Leaves

The autofluorescence of a sample is a highly sensitive and selective optical property and gives the possibility to establish non-destructive techniques of the investigation of plants, like detecting the chlorophyll fluorescence related to stress phenomena. In this study, an advanced multi-color fluo...

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Main Authors: Stefanie Konanz, László Kocsányi, Claus Buschmann
Format: Article
Language:English
Published: MDPI AG 2014-04-01
Series:Agriculture
Subjects:
Online Access:http://www.mdpi.com/2077-0472/4/2/79
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spelling doaj-cf6fc128e87440e58c749cc79bacf6322021-04-02T01:30:30ZengMDPI AGAgriculture2077-04722014-04-0142799510.3390/agriculture4020079agriculture4020079Advanced Multi-Color Fluorescence Imaging System for Detection of Biotic and Abiotic Stresses in LeavesStefanie Konanz0László Kocsányi1Claus Buschmann2Botanical Institute II, Karlsruhe Institute of Technology (KIT), University Sector, Fritz-Haber-Weg 4, 76131 Karlsruhe, GermanyDepartment of Atomic Physics, Budapest University of Technology and Economics, Budafoki út 8, 1111 Budapest XI, HungaryBotanical Institute II, Karlsruhe Institute of Technology (KIT), University Sector, Fritz-Haber-Weg 4, 76131 Karlsruhe, GermanyThe autofluorescence of a sample is a highly sensitive and selective optical property and gives the possibility to establish non-destructive techniques of the investigation of plants, like detecting the chlorophyll fluorescence related to stress phenomena. In this study, an advanced multi-color fluorescence imaging system and data analysis were presented. The advantage of an imaging system is the additional receiving of spatial information over a sample area, this is a strong improvement compared to spot measurements commonly used. The purpose was to demonstrate the possibility of the detection and characterization of stress symptoms using this system. Specific fluorescence ratios were identified to characterize the stress status over the whole leaf, here shown on barley grown under different nitrogen supply (abiotic stress). Due to the changes, it is possible to make conclusions about leaf pigments (chlorophylls and phenolics) related to stress response. The second aim was to use the shape of local symptoms (biotic stress) as a criterion. For this purpose, three structural different kinds of fungal symptoms were analyzed using shape descriptors. It shows that an additional image shape analysis can be very useful for extracting further information, in this case the successful discrimination of fungal infections.http://www.mdpi.com/2077-0472/4/2/79fluorescence imagestress detectionsymptom characterizationshape analysisImageJleaf level
collection DOAJ
language English
format Article
sources DOAJ
author Stefanie Konanz
László Kocsányi
Claus Buschmann
spellingShingle Stefanie Konanz
László Kocsányi
Claus Buschmann
Advanced Multi-Color Fluorescence Imaging System for Detection of Biotic and Abiotic Stresses in Leaves
Agriculture
fluorescence image
stress detection
symptom characterization
shape analysis
ImageJ
leaf level
author_facet Stefanie Konanz
László Kocsányi
Claus Buschmann
author_sort Stefanie Konanz
title Advanced Multi-Color Fluorescence Imaging System for Detection of Biotic and Abiotic Stresses in Leaves
title_short Advanced Multi-Color Fluorescence Imaging System for Detection of Biotic and Abiotic Stresses in Leaves
title_full Advanced Multi-Color Fluorescence Imaging System for Detection of Biotic and Abiotic Stresses in Leaves
title_fullStr Advanced Multi-Color Fluorescence Imaging System for Detection of Biotic and Abiotic Stresses in Leaves
title_full_unstemmed Advanced Multi-Color Fluorescence Imaging System for Detection of Biotic and Abiotic Stresses in Leaves
title_sort advanced multi-color fluorescence imaging system for detection of biotic and abiotic stresses in leaves
publisher MDPI AG
series Agriculture
issn 2077-0472
publishDate 2014-04-01
description The autofluorescence of a sample is a highly sensitive and selective optical property and gives the possibility to establish non-destructive techniques of the investigation of plants, like detecting the chlorophyll fluorescence related to stress phenomena. In this study, an advanced multi-color fluorescence imaging system and data analysis were presented. The advantage of an imaging system is the additional receiving of spatial information over a sample area, this is a strong improvement compared to spot measurements commonly used. The purpose was to demonstrate the possibility of the detection and characterization of stress symptoms using this system. Specific fluorescence ratios were identified to characterize the stress status over the whole leaf, here shown on barley grown under different nitrogen supply (abiotic stress). Due to the changes, it is possible to make conclusions about leaf pigments (chlorophylls and phenolics) related to stress response. The second aim was to use the shape of local symptoms (biotic stress) as a criterion. For this purpose, three structural different kinds of fungal symptoms were analyzed using shape descriptors. It shows that an additional image shape analysis can be very useful for extracting further information, in this case the successful discrimination of fungal infections.
topic fluorescence image
stress detection
symptom characterization
shape analysis
ImageJ
leaf level
url http://www.mdpi.com/2077-0472/4/2/79
work_keys_str_mv AT stefaniekonanz advancedmulticolorfluorescenceimagingsystemfordetectionofbioticandabioticstressesinleaves
AT laszlokocsanyi advancedmulticolorfluorescenceimagingsystemfordetectionofbioticandabioticstressesinleaves
AT clausbuschmann advancedmulticolorfluorescenceimagingsystemfordetectionofbioticandabioticstressesinleaves
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