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Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions

Porras Hernández, Ana María ; Barbe, Laurent ; Pohlit, Hannah ; Tenje, Maria and Antfolk, Maria LU (2022) In Scientific Data 9(1).
Abstract

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 CellProfilerTM 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... (More)

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 CellProfilerTM 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.

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author
; ; ; and
organization
publishing date
type
Contribution to journal
publication status
published
subject
in
Scientific Data
volume
9
issue
1
article number
26
publisher
Nature Publishing Group
external identifiers
  • scopus:85123831733
  • pmid:35087120
ISSN
2052-4463
DOI
10.1038/s41597-022-01130-x
language
English
LU publication?
yes
id
baff79f0-fa98-4771-bec4-1d41d3fee28e
date added to LUP
2022-03-24 16:15:17
date last changed
2024-05-16 08:57:18
@article{baff79f0-fa98-4771-bec4-1d41d3fee28e,
  abstract     = {{<p>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<sup>TM</sup> 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.</p>}},
  author       = {{Porras Hernández, Ana María and Barbe, Laurent and Pohlit, Hannah and Tenje, Maria and Antfolk, Maria}},
  issn         = {{2052-4463}},
  language     = {{eng}},
  number       = {{1}},
  publisher    = {{Nature Publishing Group}},
  series       = {{Scientific Data}},
  title        = {{Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions}},
  url          = {{http://dx.doi.org/10.1038/s41597-022-01130-x}},
  doi          = {{10.1038/s41597-022-01130-x}},
  volume       = {{9}},
  year         = {{2022}},
}