Barroso, T.G., António Hugo Gregório and Rui Costa Martins. 2024 "Painless Artificial Intelligence Point-of-Care hemogram diagnosis in Companion Animals" Preprints. https://doi.org/10.20944/preprints202401.0036.v1
Abstract
Quantification of erythrocytes and leukocytes is an essential aspect of hemogram diagno- 23
sis in Veterinary Medicine. Flow cytometry analysis, laser scattering, and impedance detection are 24
standard laboratory techniques, verified by manual microscopy counting. Although single-cell scat- 25
tering is already used as a standard technology for differentiating cell counts in flow cytometry, it 26
requires capillary cell separation. The current study investigates the scattering characteristics of 27
whole blood to identify correlations with erythrocytes and leukocytes counts. The scattering infor- 28
mation present in blood samples can be classified into three types: i) geometrical scattering, which 29
occurs when non-absorbed light is reflected and scattered, ii) Mie scattering, which happens when 30
light is scattered by particles of a similar size to the wavelength, and iii) Rayleigh scattering, which occurs when light is scattered by particles that are smaller than the incident light wavelength. In 32
this study, we investigate the scattering correction coefficients of dog blood absorption spectra in 33
the visible-near infrared range, to establish direct correlations with erythrocytes and leukocytes 34
counts, using multivariate linear regression. Our findings demonstrate the possibility of using the 35
scattering properties of dog blood, which is a step towards the existence of a portable and miniatur- 36
ized hemogram diagnosis in Veterinary Clinics worldwide.
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