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Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review
Current methods of in-house plant phenotyping are providing a powerful new tool for plant biology studies. The self-constructed and commercial platforms established in the last few years, employ non-destructive methods and measurements on a large and high-throughput scale. The platforms offer to cer...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406171/ https://www.ncbi.nlm.nih.gov/pubmed/25904970 http://dx.doi.org/10.1186/s13007-015-0072-8 |
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author | Humplík, Jan F Lazár, Dušan Husičková, Alexandra Spíchal, Lukáš |
author_facet | Humplík, Jan F Lazár, Dušan Husičková, Alexandra Spíchal, Lukáš |
author_sort | Humplík, Jan F |
collection | PubMed |
description | Current methods of in-house plant phenotyping are providing a powerful new tool for plant biology studies. The self-constructed and commercial platforms established in the last few years, employ non-destructive methods and measurements on a large and high-throughput scale. The platforms offer to certain extent, automated measurements, using either simple single sensor analysis, or advanced integrative simultaneous analysis by multiple sensors. However, due to the complexity of the approaches used, it is not always clear what such forms of plant phenotyping can offer the potential end-user, i.e. plant biologist. This review focuses on imaging methods used in the phenotyping of plant shoots including a brief survey of the sensors used. To open up this topic to a broader audience, we provide here a simple introduction to the principles of automated non-destructive analysis, namely RGB, chlorophyll fluorescence, thermal and hyperspectral imaging. We further on present an overview on how and to which extent, the automated integrative in-house phenotyping platforms have been used recently to study the responses of plants to various changing environments. |
format | Online Article Text |
id | pubmed-4406171 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-44061712015-04-23 Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review Humplík, Jan F Lazár, Dušan Husičková, Alexandra Spíchal, Lukáš Plant Methods Review Current methods of in-house plant phenotyping are providing a powerful new tool for plant biology studies. The self-constructed and commercial platforms established in the last few years, employ non-destructive methods and measurements on a large and high-throughput scale. The platforms offer to certain extent, automated measurements, using either simple single sensor analysis, or advanced integrative simultaneous analysis by multiple sensors. However, due to the complexity of the approaches used, it is not always clear what such forms of plant phenotyping can offer the potential end-user, i.e. plant biologist. This review focuses on imaging methods used in the phenotyping of plant shoots including a brief survey of the sensors used. To open up this topic to a broader audience, we provide here a simple introduction to the principles of automated non-destructive analysis, namely RGB, chlorophyll fluorescence, thermal and hyperspectral imaging. We further on present an overview on how and to which extent, the automated integrative in-house phenotyping platforms have been used recently to study the responses of plants to various changing environments. BioMed Central 2015-04-17 /pmc/articles/PMC4406171/ /pubmed/25904970 http://dx.doi.org/10.1186/s13007-015-0072-8 Text en © Humplík et al.; licensee BioMed Central. 2015 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Review Humplík, Jan F Lazár, Dušan Husičková, Alexandra Spíchal, Lukáš Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review |
title | Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review |
title_full | Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review |
title_fullStr | Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review |
title_full_unstemmed | Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review |
title_short | Automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review |
title_sort | automated phenotyping of plant shoots using imaging methods for analysis of plant stress responses – a review |
topic | Review |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4406171/ https://www.ncbi.nlm.nih.gov/pubmed/25904970 http://dx.doi.org/10.1186/s13007-015-0072-8 |
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