ZnO Nanoparticle Size Distribution Analysis from FESEM Micrographs

Supporting files for analyzing FESEM micrographs of bio-mediated ZnO nanoparticles. The dataset includes processed images, raw size data, and analysis reports generated by a high-throughput Python workflow. It was authored by Abubakar Aji and last updated on May 5, 2026.

Use Cases

• Automate particle size measurement based on Gaussian normalization and segmentation described in the workflow.
• Resolve agglomerated particle counts based on the distance-transform seed-detection algorithm.
• Generate histograms and overlays for publication-ready figures based on the provided outputs.
• Reproduce particle sizing analysis to meet journal publication requirements.

Strengths

• Includes a documented Python workflow (SciPy, NumPy, Pillow) for reproducible analysis.
• Provides multiple output formats (PNG, CSV/XLSX, TXT) for different analysis stages.
• Released under a CC-BY-4.0 license, facilitating open reuse.
• Dataset size is 1.0 MB, indicating a compact and focused collection.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• 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

High-throughput Python workflow applied to FESEM micrographs.

Freshness

Last updated 2026-05-05 11:02:13; freshness should be verified.