Techcyte Reveals Economic Potential with Parasitology Study at APHL Conference.

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Picture Credit: www.magnific.com

Techcyte has announced a significant milestone with the acceptance of a validation study by Contra Costa County Public Health Laboratory (CCPHL) for presentation at the APHL 2026 Annual Conference. The study, which will be showcased as a poster and later made available on the APHL website, evaluates the AI-assisted workflow for detecting ova and parasites (O&P) in stool specimens. This innovative approach utilizes Techcyte’s parasitology suite alongside an automated whole slide imager from Pramana, now known as Evident.

Traditionally, O&P testing has depended heavily on manual microscopy, a process requiring specialized skills and significant training. The increasing volume of specimens and a constrained workforce prompted CCPHL to explore AI-assisted digital workflows to enhance their screening processes and operational efficiency. The conducted study involved 549 patient samples, each comprising paired trichrome and wet mount slides, and demonstrated impressive accuracy, sensitivity, and specificity rates of 97%, 98%, and 97%, respectively.

Both newly received and archived patient specimens were part of the validation process, and the results were compared with those obtained through traditional microscopy methods. After integrating the AI platform into their workflow in January 2026, CCPHL observed a notable reduction in turnaround times and improvements in both workflow efficiency and staff fatigue. The study underscores the potential of AI integration in public health laboratories to tackle workforce shortages while adhering to established diagnostic methods, with positive cases still confirmed through traditional light microscopy.

Tyler Rippy, an Account Executive at Techcyte, expressed satisfaction with the collaboration, remarking on the study’s role in advancing AI-assisted workflows in parasitology labs. Techcyte offers a comprehensive digital parasitology solution that supports various staining methods like trichrome, wet mount, and modified acid-fast (MAF) within a streamlined workflow.

Founded in 2013, Techcyte is committed to revolutionizing pathology practices by digitizing lab workflows and providing AI tools aimed at enhancing diagnostic testing efficiency and accuracy. Their mission is to improve human, animal, and environmental health through artificial intelligence. Techcyte collaborates with leading laboratories, scanning manufacturers, AI vendors, and diagnostic companies to deliver a unified pathology platform globally. While their platform is intended for research use only in the United States, Techcyte will be exhibiting their solutions at the APHL 2026 Annual Conference from May 4–7 in Baltimore, where attendees can learn more at Booth 201.

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