What happened
Copan WASP of Italy makes PhenoMATRIX, image analysis software for its WASPLab microbiology system. It detects growth on culture plates, estimates colony counts and sorts the plate images into folders for review. A trained microbiologist then confirms or changes each result. In a clinical study at three US clinical laboratories, experienced technicians read the same digital images as the reference. Site A analyzed 3856 plate images, Site B 418 and Site C 1571. At Site A, the software detected growth on 99.5% to 100% of the plates on which technicians saw it. FDA reviewers report that false positive rates ranged from 1.0-1.3% and false negative rates from 0.1-0.5%. FDA cleared the software on 22 January 2026. The summary does not say how the software was built or whether it learned from data. A microbiologist still reviews every image, and the study did not measure time saved.
Sources
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Regulatory document, by authors with no tie to the system.
In the clinical studies, growth detection and morphological interpretation false positive rates ranged from 1.0-1.3% and false negative rates ranged from 0.1-0.5%. These data demonstrate that the PhenoMATRIX can accurately identify colony growth and morphology across the range of colony sizes and morphologies expected during routine clinical use.
Details
AI system
- Workflow
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Plates were incubated and imaged inside the WASPLab system. Expert rules defined by the laboratory combined the image analysis results with patient data to sort the images.
Follow-up
- Conditions for replication
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Trained personnel evaluate every plate image before a result is reported. The plates use blood-based, chocolate, MacConkey or CHROMagar Orientation media.
Entry details
- Sector
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Healthcare.
- Purpose
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Copan WASP built PhenoMATRIX to analyze culture plate images on the WASPLab system and sort them by growth and colony type for review by trained personnel.
Not yet checked: model, release, provider, role, configuration, inputs and outputs, autonomy, human oversight, AI contribution, beneficiaries, reach, distribution and access, duration, every measurement question, every money question, ownership and control, dependencies, cross-border connections, geopolitical implications, replication attempts, availability, institutional decision, grounds, action and result, success criterion, every evidence question, observed or intended, alternative assessments, related entries, other identifiers, category mappings.
Cite this record
Peter H. Vartanian. (2026). PhenoMATRIX sorted culture plate images with few missed growths (AIBD-0800). Artificial Intelligence Benefits Database, edition of 31 October 2026. https://petervartanian.xyz/aibd/records/AIBD-0800.html (archived at https://doi.org/10.7910/DVN/AADSII, version 4.0)