Evaluation of accuracy and precision of a smartphone based automated parasite egg counting system in comparison to the McMaster and Mini-FLOTAC methods

Veterinary Parasitology
J A ScareM K Nielsen

Abstract

Fecal egg counts are emphasized for guiding equine helminth parasite control regimens due to the rise of anthelmintic resistance. This, however, poses further challenges, since egg counting results are prone to issues such as operator dependency, method variability, equipment requirements, and time commitment. The use of image analysis software for performing fecal egg counts is promoted in recent studies to reduce the operator dependency associated with manual counts. In an attempt to remove operator dependency associated with current methods, we developed a diagnostic system that utilizes a smartphone and employs image analysis to generate automated egg counts. The aims of this study were (1) to determine precision of the first smartphone prototype, the modified McMaster and ImageJ; (2) to determine precision, accuracy, sensitivity, and specificity of the second smartphone prototype, the modified McMaster, and Mini-FLOTAC techniques. Repeated counts on fecal samples naturally infected with equine strongyle eggs were performed using each technique to evaluate precision. Triplicate counts on 36 egg count negative samples and 36 samples spiked with strongyle eggs at 5, 50, 500, and 1000 eggs per gram were performed using a secon...Continue Reading

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Mar 31, 2016·International Journal for Parasitology·Paul SlusarewiczMartin K Nielsen

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Citations

Jan 7, 2018·BMC Veterinary Research·Antonio BoscoLaura Rinaldi
Nov 17, 2020·Frontiers in Veterinary Science·Maria Paola MaurelliLaura Rinaldi
May 22, 2021·Veterinary Parasitology·Paul SlusarewiczMartin K Nielsen
Jul 5, 2021·Veterinary Parasitology·Martin K Nielsen
Sep 10, 2020·Veterinary Parasitology: X·Megan SlusarewiczMartin K Nielsen

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