The Inter-station Difference of Image Colorimetry for Smart Phones

doi:10.19894/j.issn.1000-0518.240131

Chinese Journal of Applied Chemistry ›› 2024, Vol. 41 ›› Issue (10): 1481-1490.DOI: 10.19894/j.issn.1000-0518.240131

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The Inter-station Difference of Image Colorimetry for Smart Phones

Sai-Nan YANG¹, Ping LI¹, Yuan LYU¹, Hai-Yong LUO¹, Ling-Ling ZHANG², Bin DAI¹(), Xiao WANG²()

^1.College of Medicine and Technology，Hunan Environment Biological Polytechnic，Hengyang 421000，China
^2.State Key Laboratory of Rare Earth Resource Utilization，Changchun Institute of Applied Chemistry，Chinese Academy of Sciences，Changchun 130022，China

Received:2024-04-18 Accepted:2024-08-20 Published:2024-10-01 Online:2024-10-29
Contact: Bin DAI,Xiao WANG
About author:wangxiao@ciac.ac.cn
1198993413@qq.com
Supported by:
the Natural Science Foundation of Hunan(2023JJ60207);Hunan Provincial Department of Education Scientific Research Project(23C0625)

Abstract

Abstract:

In this study， seven mobile phones were employed to measure bilirubin concentration. The coefficient of determination （R²） between characteristic absorbance and bilirubin concentration exceeded 0.95. Nevertheless， significant variability was observed across the different mobile phones， with the maximum average deviation in characteristic absorbance reaching up to 183%. We introduced gradient color cards to perform real-time correction， examined the correction effects of different color cards， and optimized the correction equation. Utilizing a purple gradient color card tailored to the bilirubin reaction system and refining the correction equation reduced the maximum average deviation in characteristic absorbance among the seven mobile phones to 17.5%. Following the implementation of the calibration color card， the maximum relative standard deviation （RSD） for the 27.2 μmol/L sample detected by the seven mobile phones was 6.0%. Similarly， the maximum RSDs for the 55.1 and 169.3 μmol/L samples were 3.9% and 3.5%， respectively. We further validated the color chart correction across 34 mobile phones from diverse brands. By introducing gradient color cards of similar colors into the detection window， real-time calibration of detection results across various mobile phones can be realized.

Key words: Image colorimetry, Inter-station variation, Calibration patch, Bilirubin, Detection and analysis

CLC Number:

O655

Sai-Nan YANG, Ping LI, Yuan LYU, Hai-Yong LUO, Ling-Ling ZHANG, Bin DAI, Xiao WANG. The Inter-station Difference of Image Colorimetry for Smart Phones[J]. Chinese Journal of Applied Chemistry, 2024, 41(10): 1481-1490.

Figures/Tables 10

Fig.1 Schematic diagram of quantitative testing using a mobile phone

Fig.2 The linear correlation plot between characteristic absorbance and concentration of seven mobile phones

Table 1 Parameters and linear detection results of seven mobile phones

	iPhone 6s	iPhone 11	iPhone 13	iPhone 13 Pro	iQOO Z3	vivo Y79	Mi 12
Number of cameras	2	3	4	4	4	2	4
Pixels （10 000）	500	1 200	1 200	1 200	6 400	1 600	5 000
Slope value（K）	169.38	263.23	264.23	243.76	300.54	277.88	460.36
Coefficient of determination（R²）	0.985 8	0.992 2	0.980 7	0.993 4	0.994 5	0.974 1	0.995 2

Fig.3 Deviation map of the characteristic absorbance detected by 6 mobile phones and the characteristic absorbance of Mi 12

Fig.4 Schematic diagram of gradient color card correction for image acquisition

Fig.5 The linear relationships between six mobile phones and the Mi 12 under various calibration conditions

Fig.6 The purple gradient color card corrects the characteristic absorbance deviations observed in the six mobile phones relative to the Mi 12 reference

Fig.7 The purple gradient color card （intercept is 0） corrects the characteristic absorbance deviations observed in the six mobile phones relative to the Mi 12 reference

Table 2 Test repeatability of 7 mobile phones

	T1/%	T2/%	T3/%
Mi 12	5.2	3.9	3.0
iPhone 6s	2.8	3.6	3.5
iPhone 11	4.4	2.1	1.1
iPhone 13	3.5	1.5	1.3
iPhone 13Pro	6.0	2.3	1.4
iQOO Z3	5.3	3.9	2.5
vivo Y79	2.9	3.9	2.5

Fig.8 （A） Inter-station variation observed in bilirubin samples detected by the 34 uncorrected mobile phones；（B） Inter-station differences in bilirubin samples detected by the 34 mobile phones calibrated in real-time；（C） Range of bilirubin test results before and after calibration across the 34 mobile phones

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The Inter-station Difference of Image Colorimetry for Smart Phones

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