Our Clinical Pathology solutions are transforming the diagnostic landscape with advanced artificial intelligence (AI) workflows and tools.
Clinical Pathology

Pioneering digital pathology

Challenges & Solution
Throughout the world, medical technologists are in short supply. Their jobs require significant training, are physically demanding and are consistently asked to do more with less.
Techcyte helps to resolve these challenges by presenting key cells and organisms, to quickly identify positives and spend significantly less time on the negatives. Going digital enables remote collaboration, facilitates integration with LIS reporting and reduces repetitive stress injuries caused by the microscope.

Collaborations
Mayo Clinic
Through our strategic collaboration, we are transforming the practice of pathology with new AI algorithms and workflows, like our most recent test, Bacteriology Gram Stain Solution.
ARUP Laboratories
As one of our earliest collaborators and customers, we developed AI-based solutions for the following Parasitology tests: trichrome, modified acid fast, and wet mount iodine.
Gram staining for the microbiology lab
Related resources
Webinars
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Webinar
A reference laboratory’s journey through parasitology AI
Oct 2024 -
Webinar
AI in Parasitology: Transitioning to a Digital Workflow
Jul 2024 -
Webinar
Artifical intelligence-guided digital Gram staining for the Mircobiology laboratory
May 2025 -
Webinar
Bacteriology Gram Stain: 5 Reasons To Go Digital
Nov 2023 -
Webinar
Development and Integration of AI for Clinical Parasitology: A Reference Lab Perspective
Jan 2024 -
Webinar
Digital Pathology Infrastructure Requirements: Where Do We Start?
Jun 2024 -
Webinar
Expanding the Techcyte Parasitology Suite: Introducing wet mount iodine screening
Mar 2025 -
Webinar
Mastering Whole Slide Imaging: Lessons Learned from 11 Years of Scanning Sparse, Liquid, and Smearable Samples
Dec 2024
Related resources
Publications
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Article
Impact of AI on parasitology lab, one year in
Nov 2024 -
Press + events
ESCMID Global 2025 Poster
May 2025 -
Publications
JCM Article: Detection of Intestinal Protozoa in Trichrome-Stained Stool Specimens by Use of a Deep Convolutional Neural Network
May 2020 -
Publications
JCM Commentary: Computer Vision and Artificial Intelligence Are Emerging Diagnostic Tools for the Clinical Microbiologist
May 2020
Related resources
Press releases
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Press Release
Techcyte expands its AI-powered Parasitology Suite with the launch of wet mount iodine solution
Mar 2025 -
Press Release
Successful Completion of Clinical Validation Study for AI-Assisted Diagnosis of Bacterial Vaginosis
Jun 2023 -
Press Release
Techcyte Improves Digital Diagnostic Workflows for Clinical Pathology
Jan 2023 -
Press Release
Techcyte announces the release of their second generation AI for Human Parasites
Jul 2022 -
Press Release
Study confirms the sensitivity of Techcyte’s AI solution for intestinal protozoa detection
Jun 2022 -
Press Release
A Whole New Microscopic World: ARUP/Techcyte Publish First Peer-Reviewed Study on AI-based Ova and Parasite Detection Tool
Jun 2020 -
Press Release
Techcyte Announces a Strategic Collaboration with Mayo Clinic to Create New Diagnostic Tests
Mar 2023