Chiron can automatically detect and calculate parasite egg numbers and quantify parasite motility within minutes, significantly reducing the amount of time usually required for manual inspection and analysis.
Chiron is powered by integrated machine learning using pre-determined models to detect and analyse images and videos, providing real-time data analysis.
Chiron employs automated models to accurately detect and analyse parasites, removing human fatigue and biases often associated with manual detection and analysis.
Chiron is adaptable to the individual user, with multiple different models embedded to ensure optimal accuracy with varying filters and configurations to optimise research conditions and meet your projects criteria.
Chiron’s principal component of image and video detection and analysis can be applied to infinite real-world problems to enable and accelerate world-leading solutions in parasitic disease.
Using image and video classification, Chiron can automatically detect and quantify the number of parasite eggs and analyse parasite motility and peristalsis to produce an accurate motility index score across multiple samples.
Chiron takes the current applications to the next level, using applied AI to speed up and reduce associated fatigue.
Embedded algorithms to detect parasite motility can enhance current drug discovery pipelines, assessing and analysing various drug effects on multiple parasite samples in minutes.
Chiron can be easily integrated into current research facilities, ingesting both image and videos of parasite samples within seconds.