Baio-dx provides a fully automated, reagent‑free platform for microbiology labs that combines lensless digital holography with AI algorithms to analyze Petri dishes. The system captures high‑resolution 3D images of colonies and delivers rapid antimicrobial susceptibility testing results in as little as 2 hours and species‑level bacterial identification in 4 hours, eliminating manual handling and increasing laboratory throughput.
Funding
Funding not disclosed
Founders
Product
Problem
Microbiology laboratories rely on manual handling of Petri dishes and conventional optical imaging, which are time‑consuming, require reagents, and limit throughput for antimicrobial susceptibility testing (AST) and bacterial identification. Delays in obtaining results hinder rapid, targeted antibiotic therapy and contribute to the spread of antimicrobial resistance.
Solution
Baio‑dx combines lensless digital holography with proprietary artificial‑intelligence algorithms to create a fully automated, reagent‑free workflow for analyzing Petri dishes. The holographic sensor captures high‑resolution, three‑dimensional images of micron‑scale colonies across a large field without optical lenses, eliminating aberrations and simplifying hardware. AI models process these images to deliver early colony detection, species‑level bacterial identification, and rapid AST/rAST results as early as 2 hours after incubation. The platform integrates directly into existing laboratory flows, providing orientation, counting, and interpretation of chromogenic or selective agar plates without manual intervention. By delivering fast, accurate diagnostics, Baio‑dx enables labs to increase throughput, reduce decision latency, and support antimicrobial‑resistance mitigation efforts.
Target Audience
Primary customers are clinical microbiology laboratories and hospital diagnostic units that perform routine AST, bacterial identification, and colony quantification on agar plates.
Features
- Lensless digital holography sensor that records 3D colony information in a single 2D image with micron‑scale resolution
- AI‑driven algorithms for automated plate orientation, early colony detection, and counting without reagents
- Rapid AST/rAST interpretation from 2 hours and species‑level identification from 4 hours directly on agar
- Fully automated workflow eliminating manual handling and colony picking
- Compatibility with standard agar plates, including chromogenic and selective media
- Cloud‑ready software platform providing real‑time results and integration points for laboratory information systems