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An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution
BACKGROUND: Live imaging is the gold standard for determining how cells give rise to organs. However, tracking many cells across whole organs over large developmental time windows is extremely challenging. In this work, we provide a comparably simple method for confocal live imaging entire Arabidops...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890716/ https://www.ncbi.nlm.nih.gov/pubmed/36726130 http://dx.doi.org/10.1186/s13007-023-00987-2 |
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author | Harline, Kate Roeder, Adrienne H. K. |
author_facet | Harline, Kate Roeder, Adrienne H. K. |
author_sort | Harline, Kate |
collection | PubMed |
description | BACKGROUND: Live imaging is the gold standard for determining how cells give rise to organs. However, tracking many cells across whole organs over large developmental time windows is extremely challenging. In this work, we provide a comparably simple method for confocal live imaging entire Arabidopsis thaliana first leaves across early development. Our imaging method works for both wild-type leaves and the complex curved leaves of the jaw-1D mutant. RESULTS: We find that dissecting the cotyledons, affixing a coverslip above the samples and mounting samples with perfluorodecalin yields optimal imaging series for robust cellular and organ level analysis. We provide details of our complementary image processing steps in MorphoGraphX software for segmenting, tracking lineages, and measuring a suite of cellular properties. We also provide MorphoGraphX image processing scripts we developed to automate analysis of segmented images and data presentation. CONCLUSIONS: Our imaging techniques and processing steps combine into a robust imaging pipeline. With this pipeline we are able to examine important nuances in the cellular growth and differentiation of jaw-D versus WT leaves that have not been demonstrated before. Our pipeline is approachable and easy to use for leaf development live imaging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-023-00987-2. |
format | Online Article Text |
id | pubmed-9890716 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-98907162023-02-02 An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution Harline, Kate Roeder, Adrienne H. K. Plant Methods Methodology BACKGROUND: Live imaging is the gold standard for determining how cells give rise to organs. However, tracking many cells across whole organs over large developmental time windows is extremely challenging. In this work, we provide a comparably simple method for confocal live imaging entire Arabidopsis thaliana first leaves across early development. Our imaging method works for both wild-type leaves and the complex curved leaves of the jaw-1D mutant. RESULTS: We find that dissecting the cotyledons, affixing a coverslip above the samples and mounting samples with perfluorodecalin yields optimal imaging series for robust cellular and organ level analysis. We provide details of our complementary image processing steps in MorphoGraphX software for segmenting, tracking lineages, and measuring a suite of cellular properties. We also provide MorphoGraphX image processing scripts we developed to automate analysis of segmented images and data presentation. CONCLUSIONS: Our imaging techniques and processing steps combine into a robust imaging pipeline. With this pipeline we are able to examine important nuances in the cellular growth and differentiation of jaw-D versus WT leaves that have not been demonstrated before. Our pipeline is approachable and easy to use for leaf development live imaging. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s13007-023-00987-2. BioMed Central 2023-02-01 /pmc/articles/PMC9890716/ /pubmed/36726130 http://dx.doi.org/10.1186/s13007-023-00987-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Methodology Harline, Kate Roeder, Adrienne H. K. An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution |
title | An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution |
title_full | An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution |
title_fullStr | An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution |
title_full_unstemmed | An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution |
title_short | An optimized pipeline for live imaging whole Arabidopsis leaves at cellular resolution |
title_sort | optimized pipeline for live imaging whole arabidopsis leaves at cellular resolution |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9890716/ https://www.ncbi.nlm.nih.gov/pubmed/36726130 http://dx.doi.org/10.1186/s13007-023-00987-2 |
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