Whole-Cell Imaging Dataset Metadata from Scoping Review

118 whole-cell imaging datasets from 89 published studies are cataloged in this metadata collection. Mary Mirvis compiled this structured inventory, which details imaging modalities, cell types, and sample sizes. The dataset was published on the figshare platform in April 2026.

Use Cases

• Analyze the distribution of imaging modalities (e.g., confocal, electron microscopy) across the 89 studies to identify prevalent technologies.
• Correlate reported sample size with specific cell types or organelles to assess typical data scales in published literature.
• Map the taxonomic classification of cell types to investigate biological diversity in imaging studies.
• Use resolution metadata to filter datasets suitable for developing super-resolution or 3D reconstruction algorithms.

Strengths

• Catalog contains metadata for 118 distinct imaging datasets.
• Compares data from 89 independent scientific studies.
• Includes specific fields like imaging modality, resolution, and cell taxonomy.

Limitations

• Dataset is very small at 53.3 KB, containing only metadata, not primary image data.
• Sample sizes for individual datasets are not aggregated, limiting statistical power for analysis.
• Temporal coverage of the original studies is not specified, potentially including outdated techniques.

Provenance

Source

figshare, authored by Mary Mirvis.

Collection Method

Compiled via a scoping review of the scientific literature on whole-cell imaging.

Freshness

Last updated on the platform in April 2026.