Hardware-independent, microscope-agnostic, and built as assistive decision support — the specialist always confirms the result.
Photograph or upload the stained smear straight from the microscope camera — no proprietary scanner required.
The model classifies cells and quantifies morphology across the blood-cell classes in under two minutes.
White blood cell morphology, ICSH-aligned red cell morphology grading and platelet estimation, presented clearly.
A pathologist or haematologist reviews and signs off. The AI supports the specialist; it never decides alone.
Peripheral blood smear (Wright–Giemsa) with an illustrative AIMALABS detection. Every result is confirmed by a qualified specialist.
On each smear, AIMALABS localises and classifies cells across the blood-cell classes, grades red-cell morphology to ICSH conventions, and estimates platelets — turning a microscope image into a consistent, reviewable result in under two minutes.
Deploys on the microscopes and cameras a lab already owns. No six-figure analyser, no rip-and-replace.
Roughly five times faster than manual review, available around the clock without a morphologist on site.
The same standardised assessment on every smear, eliminating inter-observer variability.
Rapid results support real-time decisions in acute settings where waiting isn’t an option.
Frees trained scientists from routine screening to focus on complex cases and quality assurance.
Brings expert-level analysis to labs and settings that could never justify the hardware.
AIMALABS runs as two variants of a single architecture: a full laboratory model for deployment in the lab, and a lightweight model for decentralised, point-of-care use — so the same standardised analysis follows the patient wherever the smear is taken.
Preliminary internal results on held-out data — not yet peer-reviewed or cleared.
Book a walkthrough and we’ll show AIMALABS running on smears like yours.
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