Point-of-Care Using Vis-NIR Spectroscopy for White Blood Cell Count Analysis

نویسندگان

چکیده

Total white blood cells count is an important diagnostic parameter in both human and veterinary medicines. State-of-the-art performed by flow cytometry combined with light scattering or impedance measurements. Spectroscopy point-of-care has the advantages of miniaturization, low sampling, real-time hemogram analysis. While are proportions, while red bilirubin dominate spectral information, complicating detection blood. We a feasibility study for direct counts canine visible-near infrared spectroscopy applications, benchmarking current chemometrics techniques (similarity, global local partial least squares, artificial neural networks least-squares support vector machines) self-learning intelligence, introducing data augmentation to overcome hurdle knowledge representativity. White information present recorded spectra, allowing significant discrimination equivalence between spectra principal component scores. Chemometrics methods correlate features but lower accuracy. Self-Learning Artificial Intelligence highest correlation (0.8478) small standard error 6.92 × 109 cells/L, corresponding mean absolute percentage 25.37%. Such allows accurate diagnosis range values reference interval (5.6 17.8 cells/L) above. This research step toward existence miniaturized analyzer.

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ژورنال

عنوان ژورنال: Chemosensors

سال: 2022

ISSN: ['2227-9040']

DOI: https://doi.org/10.3390/chemosensors10110460