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Comparative evaluation of an AI-based counting system (OvaCyteTM) and the McMaster counting method for quantification of strongyle eggs in sheep faeces

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F60460709%3A41210%2F25%3A102723" target="_blank" >RIV/60460709:41210/25:102723 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.webofscience.com/wos/woscc/full-record/WOS:001520072200001" target="_blank" >https://www.webofscience.com/wos/woscc/full-record/WOS:001520072200001</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.vetpar.2025.110533" target="_blank" >10.1016/j.vetpar.2025.110533</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Comparative evaluation of an AI-based counting system (OvaCyteTM) and the McMaster counting method for quantification of strongyle eggs in sheep faeces

  • Original language description

    We compared an artificial intelligence (AI)-based technology (OvaCyte™, OC) for the enumeration of strongyle eggs in sheep faeces with the McMaster method (MM). Initially, two experiments were performed with faeces containing pure Haemonchus contortus eggs. In experiment A, faeces containing three egg concentrations were processed using OC (extended and standard mode) in parallel with MM. In experiment B, faeces were spiked with different amounts of eggs. Secondly, samples from naturally infected sheep were analysed. Overall, EPG values in experiment A were consistent across all replicates at each dilution. Accuracy was particularly good for the AI-method (mean OC=72 %, mean MM=45 %), and it also achieved the highest precision (CV 5.6–40 %). In experiment B, as in experiment A, within replicate variability was observed at for both methods all concentrations. Although there were no significant differences between sample means, precision and the number of egg-positive samples was higher for OC. Finally, analysis of both experimental (r = 0.98) and field samples (r = 0.93) showed a strong positive correlation between OC and MM. OC also yielded a higher proportion of positive samples than MM in the field study OC provided a higher proportion of positive samples than MM. This study is the first comparison of OC and MM using both experimental and field-based data. In contrast to previous studies, our analysis was based on identical sample preparations that were processed in parallel using both methods. Although the results show strong agreement between methods, some limitations of OC were noted. These limitations can probably be overcome by further refinement of the AI model.

  • Czech name

    —

  • Czech description

    —

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

    —

  • OECD FORD branch

    30310 - Parasitology

Result continuities

  • Project

    —

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2025

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Veterinary Parasitology

  • ISSN

    0304-4017

  • e-ISSN

    1873-2550

  • Volume of the periodical

    338

  • Issue of the periodical within the volume

    neuvedeno

  • Country of publishing house

    US - UNITED STATES

  • Number of pages

    8

  • Pages from-to

    1-8

  • UT code for WoS article

    001520072200001

  • EID of the result in the Scopus database

    2-s2.0-105008732261