Evaluation of the VETSCAN IMAGYST: an in-clinic canine and feline fecal parasite detection system integrated with a deep learning algorithm.

Journal: Parasites & vectors
PMID:

Abstract

BACKGROUND: Fecal examination is an important component of routine companion animal wellness exams. Sensitivity and specificity of fecal examinations, however, are influenced by sample preparation methodologies and the level of training and experience of personnel who read fecal slides. The VETSCAN IMAGYST system consists of three components: a sample preparation device, a commercially available scanner, and an analysis software. The VETSCAN IMAGYST automated scanner and cloud-based, deep learning algorithm, locates, classifies, and identifies parasite eggs found on fecal microscopic slides. The main study objectives were (i) to qualitatively evaluate the capabilities of the VETSCAN IMAGYST screening system and (ii) to assess and compare the performance of the VETSCAN IMAGYST fecal preparation methods to conventional fecal flotation techniques.

Authors

  • Yoko Nagamori
    Department of Veterinary Pathobiology, College of Veterinary Medicine, Oklahoma State University, Stillwater, OK, 74078, USA.
  • Ruth Hall Sedlak
    Zoetis, Veterinary Medicine Research and Development, 333 Portage St, Kalamazoo, MI, 49007, USA. ruth.hallsedlak@zoetis.com.
  • Andrew DeRosa
    Zoetis, Veterinary Medicine Research and Development, 333 Portage St, Kalamazoo, MI, 49007, USA.
  • Aleah Pullins
    Zoetis, Veterinary Medicine Research and Development, 333 Portage St, Kalamazoo, MI, 49007, USA.
  • Travis Cree
    Zoetis, Veterinary Medicine Research and Development, 333 Portage St, Kalamazoo, MI, 49007, USA.
  • Michael Loenser
    Zoetis, Global Diagnostics, 10 Sylvan Way, Parsippany, NJ, 07054, USA.
  • Benjamin S Larson
    Techcyte Inc., 384 S 400 W #125, Lindon, UT, 84042, USA.
  • Richard Boyd Smith
    Techcyte, Inc., Lindon, Utah, USA.
  • Richard Goldstein
    Zoetis, Global Diagnostics, 10 Sylvan Way, Parsippany, NJ, 07054, USA.