Ins2Akita Mouse Retinal Vasculature Metrics for Diabetic Retinopathy Research

Fei Shang's dataset contains statistical analysis results from a study of diabetic retinopathy using the Ins2Akita mouse model. The data includes vessel density, branching, length, tortuosity, pericyte density, and plexus connectivity metrics from 14 hyperglycemic and 13 euglycemic mice aged 7–61 weeks. The dataset was last updated on 2026-05-28.

Use Cases

• Conduct statistical comparisons of retinal vessel metrics between hyperglycemic and control mice.
• Analyze the relationship between blood glucose levels and microvascular patterning over time.
• Validate in vivo ophthalmoscopy findings using ex vivo confocal microscopy data.
• Investigate pericyte density and vascular plexus connectivity as potential biomarkers.

Strengths

• Includes data from 27 mice (14 hyperglycemic, 13 control), providing a comparative basis.
• Covers multiple quantitative metrics: vessel density, branching, length, tortuosity, and pericyte density.
• Longitudinal data spans up to one year of hyperglycemia and includes ages from 7 to 61 weeks.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• The dataset is small (431.6 KB), indicating limited scope.

Provenance

Source

Fei Shang via figshare.

Collection Method

Retinal flat mounts were imaged using confocal microscopy; an adaptive optics scanning light ophthalmoscope (AOSLO) was used for longitudinal imaging.

Time Range

Mouse ages ranged from 7 to 61 weeks; longitudinal imaging spanned 12 weeks from 24–36 weeks.

Freshness

Last updated 2026-05-28 17:30:06; freshness should be verified.