Confocal imaging dataset to assess endothelial cell orientation during extreme glucose conditions.
Ana María Porras HernándezLaurent BarbeHannah PohlitMaria TenjeMaria AntfolkPublished in: Scientific data (2022)
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.
Keyphrases
- endothelial cells
- high resolution
- optical coherence tomography
- image quality
- high glucose
- single cell
- raman spectroscopy
- electronic health record
- oxidative stress
- big data
- computed tomography
- blood glucose
- vascular endothelial growth factor
- data analysis
- rna seq
- climate change
- mass spectrometry
- blood pressure
- adipose tissue
- skeletal muscle
- glycemic control