Julijus Bogomolovas's dataset quantifies embryonic cardiomyocyte proliferation via EdU incorporation. It contains per-image counts of total nuclei, cardiomyocyte nuclei split into EdU-positive and EdU-negative categories, and the resulting proliferation fraction. The dataset is 5.8 KB in size and was last updated on 2026-05-05.
Use Cases
- Calculate cardiomyocyte proliferation rates based on EdU-positive and EdU-negative cell counts.
- Compare proliferation fractions across different developmental stages (e.g., E10.5, E11.5).
- Analyze cell count distributions across biological replicates (Animal IDs) and imaging frames.
- Validate image analysis pipelines using the provided per-field/frame quantification data.
Strengths
- Data is structured with clear column definitions for metadata and counts.
- Includes derived metrics like the CM_pos fraction for direct analysis.
- File size is 5.8 KB, indicating a compact and focused dataset.
Limitations
- Row count is unknown, which may limit suitability assessment.
- Description metadata is limited; actual data quality requires manual inspection after download.
Provenance
- Source
- figshare
- Collection Method
- Quantification from imaging fields/frames of embryonic samples.
- Freshness
- Last updated 2026-05-05 20:55:43; freshness should be verified.