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Preliminary evaluation of a novel, fully automated, Telenostic device for rapid field-diagnosis of cattle parasites

Published online by Cambridge University Press:  24 June 2020

Nagwa Elghryani
Affiliation:
School of Veterinary Medicine, University College Dublin, Dublin, Ireland Telenostic Limited, Kilkenny, Ireland
Joseph Crispell
Affiliation:
School of Veterinary Medicine, University College Dublin, Dublin, Ireland
Roohollah Ebrahimi
Affiliation:
School of Veterinary Medicine, University College Dublin, Dublin, Ireland
Michael Krivoruchko
Affiliation:
Independent Consultant, Dublin, Ireland
Vladimir Lobaskin
Affiliation:
School of Veterinary Medicine, University College Dublin, Dublin, Ireland
Trish McOwan
Affiliation:
Telenostic Limited, Kilkenny, Ireland
William O'Connor
Affiliation:
School of Veterinary Medicine, University College Dublin, Dublin, Ireland
Eamonn Power
Affiliation:
Telenostic Limited, Kilkenny, Ireland
Bruno Voisin
Affiliation:
Irish Centre for High End Computing, National University of Ireland Galway, Galway, Ireland
Dimitri Scholz
Affiliation:
School of Veterinary Medicine, University College Dublin, Dublin, Ireland
Theo de Waal*
Affiliation:
School of Veterinary Medicine, University College Dublin, Dublin, Ireland
*
Author for correspondence: Theo de Waal, E-mail: theo.dewaal@ucd.ie

Abstract

New ideas for diagnostics in clinical parasitology are needed to overcome some of the difficulties experienced in the widespread adoption of detection methods for gastrointestinal parasites in livestock. Here we provide an initial evaluation of the performance of a newly developed automated device (Telenostic) to identify and quantify parasitic elements in fecal samples. This study compared the Telenostic device with the McMaster and Mini-FLOTAC for counting of strongyle eggs in a fecal sample. Three bovine fecal samples were examined, in triplicate, on each of the three fecal egg-counting devices. In addition, both manual (laboratory technician) and automated analysis (image analysis algorithm) were performed on the Telenostic device to calculate fecal egg counts (FEC). Overall, there were consistent egg counts reported across the three devices and calculation methods. The Telenostic device compared very favourably to the Mini-FLOTAC and McMaster. Only in sample C, a significant difference (P < 0.05) was observed between the egg counts obtained by Mini-FLOTAC and by the other methods. From this limited dataset it can be concluded that the Telenostic-automated test is comparable to currently used benchmark FEC methods, while improving the workflow, test turn-around time and not requiring trained laboratory personnel to operate or interpret the results.

Type
Research Article
Copyright
Copyright © The Author(s), 2020. Published by Cambridge University Press

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