Automated veterinary test boosts canine heartworm detection speed and sensitivity

A new fluorescence videography and computer vision-based test promises rapid, cost-effective detection of canine heartworm microfilariae, potentially transforming routine veterinary practice with higher sensitivity and automation.

Veterinary diagnostics may be getting a small but meaningful automation upgrade. A study published in Parasites & Vectors describes a clinic-ready test that uses fluorescence videography and computer vision to detect and count canine heartworm microfilariae in about six minutes, with sensitivity more than ten times higher than the standard manual wet mount.

The work, led by researchers from Parasight System Inc., North Carolina State University and the University of Georgia, addresses a familiar problem in companion-animal practice: the microscopic exam recommended alongside antigen testing is slow, labour-intensive and often skipped. That matters because microscopy can detect patent infections that antigen tests alone may miss.

The new approach processes one millilitre of blood, lyses red cells, traps larvae on a fine mesh, stains them with fluorescein and then records a short video under blue light. Software then isolates moving objects and counts the resulting signal automatically. In validation tests, the system detected larvae reliably at low concentrations where the wet mount quickly lost sensitivity, while remaining specific in uninfected samples.

There are caveats. Performance falls when larvae are crowded, and the system cannot yet distinguish Dirofilaria immitis from related species. Even so, the economics are attractive: the developers say the test costs under $10, versus roughly $20 to $30 for antigen assays in US clinics. The company is now seeking comparison with the modified Knott test, the laboratory standard.

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