Our advanced deep-learning technologies assist microbiology labs in a multitude of industries by detecting parasites and other biological phenomena quickly and efficiently.
Microbiology
Challenges & Solution
Bacteriology testing has several disadvantages, including technician fatigue, difficult working conditions, and costly and time-consuming image analysis performance.
Standard protocol for bacteriology testing involves at least two screening elements. This creates bottlenecks in the lab and can be costly to process.
Techcyte has removed the bottleneck with culture verification and cost-effective PCR screening.
By automating lab processes with AI, the time and effort it takes to perform direct examination reads is reduced dramatically.
Partnerships
ARUP Laboratories
ARUP and Techcyte collaborated to produce the world’s first AI-augmented ova and parasite detection tool as well as an easy-to-administer SARS-CoV-2 antibody test.
Ketterthill Laboratoires d’Analyses Médicales
This Luxembourg-based lab supported us in developing our bacteriology algorithm, which locates and classifies bacteriological morphotypes.
Related resources
- Press Release
ARUP Laboratories Deploys World’s First AI-Augmented Ova and Parasite Detection Tool
Aug 2019 - Publications
ESCMID Global 2025 Poster
May 2025 - Press Release
Journal of Clinical Microbiology Publishes Article on ARUP’s Validation of AI for Parasite Detection
Oct 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 - Case study
Gram Stain Interpretation Using Artificial Intelligence
Oct 2024 - Article
Impact of AI on parasitology lab, one year in
Nov 2024 - Press Release
Techcyte receives UKCA registration for Gram stain, fecal wet mount, AFB, cervical cytology, and more
Sep 2025 - Press Release
Pramana and Techcyte Form Strategic Collaboration to Offer AI-powered Scanning Technology for Cytology & Microbiology Applications
Oct 2023 - Press Release
Techcyte and Pramana Unveil Smart, Inline, Volumetric Digital Microbiology Scanning
Jun 2025 - Case study
Bacteriology Algorithm Validation Study Results
Jun 2023 - Press Release
Techcyte Announces a Strategic Collaboration with Mayo Clinic to Create New Diagnostic Tests
Mar 2023 - Press Release
Techcyte expands its AI-powered Parasitology Suite with the launch of wet mount iodine solution
Mar 2025 - Press Release
A Whole New Microscopic World: ARUP/Techcyte Publish First Peer-Reviewed Study on AI-based Ova and Parasite Detection Tool
Jun 2020 - Article
‘The Biggest Advancement in Parasite Screening Since the Microscope’: Leveraging Artificial Intelligence Improves Diagnosis
Jun 2025 - Press Release
Study confirms the sensitivity of Techcyte’s AI solution for intestinal protozoa detection
Jun 2022 - Article
AI excels at detecting parasites in stool samples, study finds
Oct 2025 - Article
AI System Outperforms Human Detection of Parasites in Stool Samples
Oct 2025 - Article
ARUP and Techcyte Unveil Groundbreaking AI for Parasite Detection, Surpassing Human Accuracy
Oct 2025 - Publications
Detection of protozoan and helminth parasites in concentrated wet mounts of stool using a deep convolutional neural network
Oct 2025 - Article
Utah study shows AI can quickly and accurately detect parasites in stool samples
Oct 2025