Validation and Peer Reviewed Articles
Parasitological studies of the Parasight automated worm egg counting system that we use, as published in The International Journal of Veterinary Parasitology, are outlined below along with testing and validation data.
1. The effect of counting duration on quantitative fecal egg count test performance
Researchers Slusarewicza, Slusarewicza & Nielsen (2019) investigate the effects of real-world pressures on the precision and accuracy of manual McMaster microscope counting, and the automated counting technology that we use. Results indicate that among other findings, automated counting operates with twice the precision of McMaster microscope.
2. Precisely Parasight
Dr Paul Slusarewicz BSc PhD, biochemistry research and development tests the Parasight automated worm egg counting system outlining the systems elevated precision and reduction in sampling errors.
3. Diagnostic performance of McMaster, Wisconsin, and automated egg counting techniques for enumeration of equine strongyle eggs in fecal samples
Cain et.al., (2020) perform a comprehensive comparison of egg counting method precision, publishing findings here relating to technical variability, biological variability, specificity and test sensitivity.
4. Understanding Fecal Egg Counting
This document provides readers with an understanding of the performance parameters of worm egg count (WEC) testing methods, particularly when comparing results from the Parasight automated egg counting system with those from manual microscope egg counting methods.
5. Evaluation of accuracy and precision of a smartphone based automated parasite egg counting system in comparison to the McMaster and Mini-Flotac methods
This study finds that overall, the smartphone based automated egg counting system is more precise than the Mini-Flotac and McMaster methods. The technology offers improvement for surveillance-based equine deworming programs. Read more here.