Whole-Cell Imaging Literature Metadata for Cell Anatomy Research

Mary Mirvis provides the underlying data for a scoping review of the whole-cell imaging literature. The 244.8 KB Excel file contains metadata on 118 individual datasets, including imaging modality, resolution, cell type, and organelles. This data supports the analysis and figures in the associated 2026 publication.

Use Cases

• Analyze trends in imaging modality usage (e.g., 'imaging modality' column) across 118 datasets for technology adoption studies.
• Study the frequency of organelle co-imaging instances (e.g., 'organelle pair combinations' data) to identify common or rare structural relationships.
• Examine the distribution of quantitative analysis classes (e.g., 'quantification class frequency' data) used in comparative cell imaging studies.
• Correlate imaging resolution data with specific cell types or organism classifications across the reviewed literature.

Strengths

• Contains metadata extracted from 118 individual imaging datasets.
• Provides structured data underlying 10 distinct figures and a table from the published review.
• Released under a permissive CC-BY-4.0 license for reuse.

Limitations

• The dataset is small at 244.8 KB, containing summary metadata rather than primary image data.
• Scope is limited to the literature reviewed in the specific scoping study, not a complete survey of the field.
• Sample size information for individual datasets is provided but the underlying raw image data is not included.

Provenance

Source

Figshare repository, authored by Mary Mirvis as supplementary material for a scoping review publication.

Collection Method

Data was compiled through a scoping review of the scientific literature on whole-cell imaging.

Time Range

Covers the publication years of the studies included in the scoping review; specific range is not provided.

Freshness

Last updated in April 2026, representing a recent synthesis.