Confocal and STED ANA Immunofluorescence Images on HEp-2 Cells

1.5 GB of processed confocal and stimulated emission depletion microscopy image crops of antinuclear antibody patterns on HEp-2 cells. The dataset was created by Krzysztof Wójcik for developing and evaluating machine learning models for automated ANA pattern classification. It was last updated on May 27, 2026.

Use Cases

• Training automated ANA pattern classification models based on processed image crops.
• Benchmarking the performance of super-resolution STED microscopy against confocal microscopy for pattern recognition.
• Developing image analysis algorithms for immunofluorescence patterns according to the International Consensus.
• Evaluating machine learning models for medical diagnostics based on labeled microscopy images.

Strengths

• Includes both confocal and super-resolution STED microscopy images, providing a comparison basis.
• Contains processed image crops and corresponding class labels ready for model development.
• Dataset size is 1.5 GB, indicating a substantial collection of image data.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

figshare

Collection Method

Generated for the development and evaluation of machine learning models.

Freshness

Last updated 2026-05-27 19:54:49; freshness should be verified.