High-precision spectra captured by a spectral camera and suppression of their nonlinearity

Kang Wang; Kang Wang; Gang Li; Leiyang Cheng; Leiyang Cheng; Shuo Wang; Ling Lin

doi:10.1364/JOSAA.521937

Journal of the Optical Society of America A
Vol. 41,
Issue 6,
pp. 1082-1088
(2024)
•https://doi.org/10.1364/JOSAA.521937

High-precision spectra captured by a spectral camera and suppression of their nonlinearity

Kang Wang, Gang Li, Leiyang Cheng, Shuo Wang, and Ling Lin

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Kang Wang, Gang Li, Leiyang Cheng, Shuo Wang, and Ling Lin, "High-precision spectra captured by a spectral camera and suppression of their nonlinearity," J. Opt. Soc. Am. A 41, 1082-1088 (2024)

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Related Topics
Table of Contents Category
- Color, Spectroscopy, and Spectral Imaging
Optics & Photonics Topics
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The topics in this list come from the Optics and Photonics Topics applied to this article.

About this Article
History
- Original Manuscript: February 20, 2024
- Revised Manuscript: April 22, 2024
- Manuscript Accepted: April 22, 2024
- Published: May 16, 2024

Abstract

The high sensitivity of photoplethysmography (PPG) spectral signals provides conditions for extracting dynamic spectra carrying nonlinear information. By the idea of spatial conversion precision, this paper uses a spectral camera to collect highly sensitive spectral data of 24 wavelengths and proposes a method for extracting dynamic spectra of three different optical path lengths and their joint modeling. In the experiment, the models of the red blood cells and white blood cells established by the joint spectra achieved good results, with the correlation coefficients above 0.77. This study has great significance for achieving high-precision noninvasive quantitative analysis of human blood components.

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Data underlying the results presented in this paper are not publicly available at this time but may be obtained from the authors upon reasonable request.

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Component	Red Blood Cells ( $\times 10^{\land} 12 / L$ )	White Blood Cells ( $\times 10^{\land} 9 / L$ )
Minimum value	3.04	1.62
Maximum value	22.88	16.42
Normal range	3.50–5.50	4.00–10.00
Number of samples	276	275
Average value	4.72	5.74
Standard deviation	1.75	1.82

Component	White Blood Cells ( $\times 10^{\land} 9 / L$ )
Region	Q1 (Range of red blood cell count: $3.04 - 4.5 \times 10^{\land} 12 / L$ )	Q2 (Range of red blood cell count: $4.51 - 22.88 \times 10^{\land} 12 / L$ )
Minimum value	1.62	2.95
Maximum value	11.6	16.42
Normal range	144	131
Number of samples	5.31	6.22
Average value	1.58	1.96

Component	Model	Rc	$R M S E C (\times 10^{\land} 12 / L)$
Red blood cells	Model R1	0.7044	1.11
	Model R3	0.8652	0.78

Component	White Blood Cells
Model		Model W3	Model W3 Q1	Model W3 Q2
Calibration set	Rc	0.7320	0.7935	0.8569
	$R M S E C (\times 10^{\land} 9 / L)$	1.25	0.97	1.02
Prediction set	Rc	0.6162	0.7605	0.8136
	$R M S E C (\times 10^{\land} 9 / L)$	1.38	1.04	2.67
All samples	Rc	0.7116	0.7827	0.7725
	$R M S E C (\times 10^{\land} 9 / L)$	1.28	0.98	1.44

Component	Red Blood Cells ( $\times 10^{\land} 12 / L$ )	White Blood Cells ( $\times 10^{\land} 9 / L$ )
Minimum value	3.04	1.62
Maximum value	22.88	16.42
Normal range	3.50–5.50	4.00–10.00
Number of samples	276	275
Average value	4.72	5.74
Standard deviation	1.75	1.82

Abstract

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Journal of the Optical Society of America A