Login / Signup

Detection of circulating microfilariae in canine EDTA blood using lens-free technology: preliminary results.

Typhaine LavabreZoe S PolizopoulouDamien IsèbeOlivier CioniVéronique RebuffelPierre BlandinNathalie H Bourgès-AbellaCatherine Trumel
Published in: Journal of veterinary diagnostic investigation : official publication of the American Association of Veterinary Laboratory Diagnosticians, Inc (2021)
Dirofilaria immitis causes life-threatening heart disease in dogs, thus screening of dog populations is important. Lens-free technology (LFT) is a low-cost imaging technique based on light diffraction that allows computerized recognition of small objects in holographic images. We evaluated an algorithm capable of recognizing microfilariae in canine whole blood using the LFT. We examined 3 groups of 10 EDTA blood specimens, from dogs with microfilaremia (group A), healthy dogs (B), and dogs with hematologic modifications other than microfilaremia (C). The LFT analyzer photographed repeated series of 5 images of all samples. The algorithm declared a sample positive if a microfilaria was detected on ≥1, ≥2, or ≥3 of the 5 images of a series. Microfilariae were detected visually in the images in 9 of 10 cases in group A; no microfilariae were seen in the images from groups B and C. Of the 30 cases, there were 14, 4, and only 3 false-positives with the 1 of 5, 2 of 5, and 3 of 5 image cutoffs, respectively. There were no false-negatives, regardless of cutoff. LFT seems useful for detecting microfilaria and could have application in clinical pathology.
Keyphrases
  • deep learning
  • convolutional neural network
  • optical coherence tomography
  • low cost
  • machine learning
  • mass spectrometry
  • quantum dots
  • fluorescence imaging
  • fine needle aspiration