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LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology

BACKGROUND: Microscopic images are widely used in plant biology as an essential source of information on morphometric characteristics of the cells and the topological characteristics of cellular tissue pattern due to modern computer vision algorithms. High-resolution 3D confocal images allow extract...

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Autores principales: Zubairova, Ulyana S., Verman, Pavel Yu., Oshchepkova, Polina A., Elsukova, Alina S., Doroshkov, Alexey V.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399813/
https://www.ncbi.nlm.nih.gov/pubmed/30836965
http://dx.doi.org/10.1186/s12918-019-0689-8
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author Zubairova, Ulyana S.
Verman, Pavel Yu.
Oshchepkova, Polina A.
Elsukova, Alina S.
Doroshkov, Alexey V.
author_facet Zubairova, Ulyana S.
Verman, Pavel Yu.
Oshchepkova, Polina A.
Elsukova, Alina S.
Doroshkov, Alexey V.
author_sort Zubairova, Ulyana S.
collection PubMed
description BACKGROUND: Microscopic images are widely used in plant biology as an essential source of information on morphometric characteristics of the cells and the topological characteristics of cellular tissue pattern due to modern computer vision algorithms. High-resolution 3D confocal images allow extracting quantitative characteristics describing the cell structure of leaf epidermis. For some issues in the study of cereal leaves development, it is required to apply the staining techniques with fluorescent dyes and to scan rather large fragments consisting of several frames. We aimed to develop a tool for processing multi-frame multi-channel 3D images obtained from confocal laser scanning microscopy and taking into account the peculiarities of the cereal leaves staining. RESULTS: We elaborated an ImageJ-plugin LSM-W(2) that allows extracting data on Leaf Surface Morphology from Laser Scanning Microscopy images. The plugin is a crucial link in a workflow for obtaining data on structural properties of leaf epidermis and morphological properties of epidermal cells. It allows converting large lsm-files (laser scanning microscopy) into segmented 2D/3D images or tables with data on cells and/or nuclei sizes. In the article, we also represent some case studies showing the plugin application for solving biological tasks. Namely the plugin is applied in the following cases: defining parameters of jigsaw-puzzle pattern for maize leaf epidermal cells, analysis of the pavement cells morphological parameters for the mature wheat leaf grown under control and water deficit conditions, initiation of cell longitudinal rows, and detection of guard mother cells emergence at the initial stages of the stomatal morphogenesis in the growth zone of a wheat leaf. CONCLUSION: The proposed plugin is efficient for high-throughput analysis of cellular architecture for cereal leaf epidermis. The workflow implies using inexpensive and rapid sample preparation and does not require the applying of transgenesis and reporter genetic structures expanding the range of species and varieties to study. Obtained characteristics of the cell structure and patterns further could act as a basis for the development and verification for spatial models of plant tissues formation mechanisms accounting for structural features of cereal leaves. AVAILABILITY: The implementation of this workflow is available as an ImageJ plugin distributed as a part of the Fiji project (FijiisjustImageJ: https://fiji.sc/). The plugin is freely available at https://imagej.net/LSM_Worker, https://github.com/JmanJ/LSM_Worker and http://pixie.bionet.nsc.ru/LSM_WORKER/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12918-019-0689-8) contains supplementary material, which is available to authorized users.
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spelling pubmed-63998132019-03-25 LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology Zubairova, Ulyana S. Verman, Pavel Yu. Oshchepkova, Polina A. Elsukova, Alina S. Doroshkov, Alexey V. BMC Syst Biol Software BACKGROUND: Microscopic images are widely used in plant biology as an essential source of information on morphometric characteristics of the cells and the topological characteristics of cellular tissue pattern due to modern computer vision algorithms. High-resolution 3D confocal images allow extracting quantitative characteristics describing the cell structure of leaf epidermis. For some issues in the study of cereal leaves development, it is required to apply the staining techniques with fluorescent dyes and to scan rather large fragments consisting of several frames. We aimed to develop a tool for processing multi-frame multi-channel 3D images obtained from confocal laser scanning microscopy and taking into account the peculiarities of the cereal leaves staining. RESULTS: We elaborated an ImageJ-plugin LSM-W(2) that allows extracting data on Leaf Surface Morphology from Laser Scanning Microscopy images. The plugin is a crucial link in a workflow for obtaining data on structural properties of leaf epidermis and morphological properties of epidermal cells. It allows converting large lsm-files (laser scanning microscopy) into segmented 2D/3D images or tables with data on cells and/or nuclei sizes. In the article, we also represent some case studies showing the plugin application for solving biological tasks. Namely the plugin is applied in the following cases: defining parameters of jigsaw-puzzle pattern for maize leaf epidermal cells, analysis of the pavement cells morphological parameters for the mature wheat leaf grown under control and water deficit conditions, initiation of cell longitudinal rows, and detection of guard mother cells emergence at the initial stages of the stomatal morphogenesis in the growth zone of a wheat leaf. CONCLUSION: The proposed plugin is efficient for high-throughput analysis of cellular architecture for cereal leaf epidermis. The workflow implies using inexpensive and rapid sample preparation and does not require the applying of transgenesis and reporter genetic structures expanding the range of species and varieties to study. Obtained characteristics of the cell structure and patterns further could act as a basis for the development and verification for spatial models of plant tissues formation mechanisms accounting for structural features of cereal leaves. AVAILABILITY: The implementation of this workflow is available as an ImageJ plugin distributed as a part of the Fiji project (FijiisjustImageJ: https://fiji.sc/). The plugin is freely available at https://imagej.net/LSM_Worker, https://github.com/JmanJ/LSM_Worker and http://pixie.bionet.nsc.ru/LSM_WORKER/. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12918-019-0689-8) contains supplementary material, which is available to authorized users. BioMed Central 2019-03-05 /pmc/articles/PMC6399813/ /pubmed/30836965 http://dx.doi.org/10.1186/s12918-019-0689-8 Text en © The Author(s) 2019 Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. 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 Software
Zubairova, Ulyana S.
Verman, Pavel Yu.
Oshchepkova, Polina A.
Elsukova, Alina S.
Doroshkov, Alexey V.
LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology
title LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology
title_full LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology
title_fullStr LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology
title_full_unstemmed LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology
title_short LSM-W(2): laser scanning microscopy worker for wheat leaf surface morphology
title_sort lsm-w(2): laser scanning microscopy worker for wheat leaf surface morphology
topic Software
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6399813/
https://www.ncbi.nlm.nih.gov/pubmed/30836965
http://dx.doi.org/10.1186/s12918-019-0689-8
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