Mouse Lung Histopathology Scores for SARS-CoV-2 and Influenza A Infection

A dataset from figshare, authored by Hyeok-Won An and last updated on 2026-05-20, details histopathology scoring in preclinical mouse models. It compares lung lesions from SARS-CoV-2 and influenza A virus infections across early, peak-injury, and late phases. The data supports a pathogenesis-informed scoring guide developed with convolutional neural network analysis.

Use Cases

• Training deep learning models for virus-specific histologic pattern recognition based on whole-slide CNN analysis mentioned in the description.
• Comparing lesion topology and inflammatory organization between SARS-CoV-2 and influenza A infections across different infection phases.
• Developing standardized, phase-informed scoring criteria for preclinical respiratory virus studies based on integrated features like lesion distribution and epithelial injury–regeneration.

Strengths

• Data is derived from standardized infection conditions with dose titration for reproducible lethal and sublethal outcomes.
• Analysis spans three defined infection phases (early, peak-injury, late) corresponding to specific days post-infection.
• Includes CNN/CAM analysis to localize discriminative histologic regions, providing spatial validation of expert findings.

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 at 676.4 KB, indicating limited scope, likely containing summary scoring data rather than raw images.

Provenance

Source

figshare

Collection Method

Generated from H&E histopathology and immunostaining of mouse lungs under standardized infection conditions, with scoring informed by CNN/CAM analysis.

Time Range

Covers infection phases at 2-3, 5-8, and 14 days post-infection.

Freshness

Last updated 2026-05-20 13:14:30; freshness should be verified.