Label-free Microscopy Images for High-throughput Biofilm Gene Identification

Data associated with the research article "Label-free microscopy enables high-throughput identification of genes controlling biofilm development". The dataset is 5.3 GB in size, stored in ZIP and TXT formats, and was last updated in May 2026. It was authored by Pratyush Madapuji Ravi and is shared under a CC-BY-4.0 license.

Use Cases

• Training image analysis models to quantify biofilm morphology based on label-free microscopy images.
• Identifying genetic factors influencing biofilm development through high-throughput screening data.
• Benchmarking computational methods for feature extraction from microscopy data mentioned in the description.

Strengths

• Dataset size is 5.3 GB, indicating a substantial volume of data.
• Data is associated with a specific, peer-reviewed research publication, providing context.
• License is CC-BY-4.0, permitting flexible reuse with attribution.

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

Likely generated from label-free microscopy experiments as part of a high-throughput screening study.

Freshness

Last updated 2026-05-07 19:37:50; freshness should be verified.