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Related Concept Videos

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview01:02

Ultraviolet and Visible (UV–Vis) Spectroscopy: Overview

Ultraviolet–visible (UV–visible or UV–Vis) spectroscopy is an analytical technique that investigates the interaction between matter and UV–Vis light within the electromagnetic spectrum. This method is widely used for its versatility, simplicity, and relatively quick data acquisition, making it valuable for both qualitative and quantitative analysis. When UV–Vis radiation passes through a material,  molecules absorb light depending on the energy required for electronic transitions. As a result...
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The absorbance of UV and visible (UV–visible) radiations is measured using a UV–visible spectrophotometer. Deuterium lamps, which emit UV radiation, and tungsten lamps, which produce radiation in the visible region, are used as light sources in UV–visible spectrophotometers. A monochromator or prism is used for diffraction grating, i.e., to split the incoming radiation into different wavelengths. A system of slits is used to focus the desired wavelength on the sample cell. Samples for...

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Reagentless Vis-NIR Spectroscopy Point-of-Care for Feline Total White Blood Cell Counts.

Teresa Guerra Barroso1, Carla Queirós2, Filipe Monteiro-Silva3

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|January 26, 2024
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Summary

This study developed a reagentless spectral technology for real-time white blood cell (WBC) analysis in veterinary medicine. Data augmentation improved WBC spectral information extraction, achieving high diagnostic efficiency.

Keywords:
artificial intelligencepoint-of-carespectroscopywhite blood cells

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Area of Science:

  • Veterinary Medicine
  • Biomedical Engineering
  • Analytical Chemistry

Background:

  • Spectral point-of-care technology offers reagentless, real-time analysis with minimal sample volume.
  • White blood cells (WBCs) are non-dominant in blood spectra, posing challenges due to interference from dominant components like red blood cells and hemoglobin.
  • WBCs, particularly larger ones, contribute significantly (0.5%–22.5%) to spectral information, necessitating advanced analytical methods.

Purpose of the Study:

  • To develop a method for accurately quantifying white blood cells (WBCs) using spectral analysis, overcoming interference from other blood components.
  • To enhance the extraction of WBC spectral information through data augmentation techniques.
  • To advance reagentless, miniaturized spectral point-of-care hematology for veterinary applications.

Main Methods:

  • Utilized spectral point-of-care technology for real-time blood analysis.
  • Employed data augmentation by hybridizing 94 real samples into 300 synthetic samples to expand spectral data.
  • Applied covariance mode analysis to quantify WBCs using orthogonal information, enhancing specificity and avoiding dataset correlations.

Main Results:

  • Data augmentation successfully improved the extraction of WBC spectral information, showing correlations between 0.7975 and 0.8397.
  • Achieved high diagnostic efficiency for WBC counts within the reference interval (83%–100%) and for high WBC counts (85.11%).
  • Covariance mode analysis maximized sensitivity and specificity for WBCs by utilizing orthogonal information relative to red blood cells.

Conclusions:

  • The developed spectral analysis method, enhanced by data augmentation, effectively quantifies white blood cells in blood samples.
  • This research demonstrates a significant step towards highly specific, reagentless, and miniaturized spectral point-of-care hematology devices for veterinary use.
  • The approach successfully isolates and quantifies WBC spectral signatures, overcoming limitations posed by dominant blood constituents.