Raw Images of Oil Red O Staining of Aortic Root from a Mouse Atherosclerosis Study
by He-Ping Liu·Updated 1mo ago
20.4 MB1files
Available on 1 platform
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Description
ApoE-/- mice on a high-fat diet were used to study atherosclerosis over 12 weeks. The dataset contains raw images of Oil Red O and H&E staining for aortic root, aorta bulk, and liver morphology, shared under a CC-BY-4.0 license by He-Ping Liu. The data was last updated on May 5, 2026.
Use Cases
Quantifying lipid plaque area in aortic roots based on Oil Red O staining images.
Training computer vision models to segment stained tissue regions in histological images.
Correlating morphological changes in liver and aorta with treatment effects described in the study.
Validating image analysis pipelines for cardiovascular disease research using a controlled mouse model.
Strengths
Dataset size is 20.4 MB, indicating a focused collection of raw image files.
Data is associated with a specific, described in vivo experiment using ApoE-/- mice over a 12-week period.
Images are from multiple staining techniques (Oil Red O and H&E) allowing for multi-modal morphological analysis.
Limitations
Row and column counts are unknown, making the scale and structure of the data difficult to assess prior to download.
Description metadata is limited; actual data quality, resolution, and annotation details require manual inspection after download.
The dataset appears to be a single snapshot from one study; its generalizability to other models or conditions is unknown.
Provenance
Source
figshare, author He-Ping Liu
Collection Method
Images generated from histological staining (Oil Red O, H&E) of tissues from a controlled mouse model study.
Time Range
Study involved a 12-week high-fat diet induction period; specific data collection dates are not provided.
Freshness
Last updated 2026-05-05 17:35:19; freshness should be verified.
Geography
The research is associated with an ethnic herb from Yunnan province, China, but the experimental location is not specified.
Files are in a ZIP archive; users will need appropriate software to extract and view the image files.