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Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions
Confocal microscopy offers a mean to extract quantitative data on spatially confined subcellular structures. Here, we provide an imaging dataset of confocal z-stacks on endothelial cells spatially confined on lines with different widths, visualizing the nucleus, F-actin, and zonula occludens-1 (ZO-1...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795398/ https://www.ncbi.nlm.nih.gov/pubmed/35087120 http://dx.doi.org/10.1038/s41597-022-01130-x |
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author | Porras Hernández, Ana María Barbe, Laurent Pohlit, Hannah Tenje, Maria Antfolk, Maria |
author_facet | Porras Hernández, Ana María Barbe, Laurent Pohlit, Hannah Tenje, Maria Antfolk, Maria |
author_sort | Porras Hernández, Ana María |
collection | PubMed |
description | Confocal microscopy offers a mean to extract quantitative data on spatially confined subcellular structures. Here, we provide an imaging dataset of confocal z-stacks on endothelial cells spatially confined on lines with different widths, visualizing the nucleus, F-actin, and zonula occludens-1 (ZO-1), as well as the lines. This dataset also includes confocal images of spatially confined endothelial cells challenged with different glucose conditions. We have validated the image quality by established analytical means using the MeasureImageQuality module of the CellProfiler(TM) software. We envision that this dataset could be used to extract data on both a population and a single cell level, as well as a learning set for the development of new image analysis tools. |
format | Online Article Text |
id | pubmed-8795398 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-87953982022-02-07 Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions Porras Hernández, Ana María Barbe, Laurent Pohlit, Hannah Tenje, Maria Antfolk, Maria Sci Data Data Descriptor Confocal microscopy offers a mean to extract quantitative data on spatially confined subcellular structures. Here, we provide an imaging dataset of confocal z-stacks on endothelial cells spatially confined on lines with different widths, visualizing the nucleus, F-actin, and zonula occludens-1 (ZO-1), as well as the lines. This dataset also includes confocal images of spatially confined endothelial cells challenged with different glucose conditions. We have validated the image quality by established analytical means using the MeasureImageQuality module of the CellProfiler(TM) software. We envision that this dataset could be used to extract data on both a population and a single cell level, as well as a learning set for the development of new image analysis tools. Nature Publishing Group UK 2022-01-27 /pmc/articles/PMC8795398/ /pubmed/35087120 http://dx.doi.org/10.1038/s41597-022-01130-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, 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 metadata files associated with this article. |
spellingShingle | Data Descriptor Porras Hernández, Ana María Barbe, Laurent Pohlit, Hannah Tenje, Maria Antfolk, Maria Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions |
title | Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions |
title_full | Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions |
title_fullStr | Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions |
title_full_unstemmed | Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions |
title_short | Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions |
title_sort | confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8795398/ https://www.ncbi.nlm.nih.gov/pubmed/35087120 http://dx.doi.org/10.1038/s41597-022-01130-x |
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