Diagnostic Method for Exhaled Aerosol Particle Field Based on Digital In-Line Holography

Dechao Zhao; Qieni Lü; Huaying Wang; Di Zhen; Zhongwei Sun

doi:10.3788/LOP241293

Laser & Optoelectronics Progress, Volume. 62, Issue 2, 0209001(2025)

Diagnostic Method for Exhaled Aerosol Particle Field Based on Digital In-Line Holography

Dechao Zhao^1、*, Qieni Lü², Huaying Wang^1,3,4, Di Zhen¹, and Zhongwei Sun¹

Author Affiliations

¹School of Mathematics and Physics, Hebei University of Engineering, Handan 056038, Hebei , China

²School of Precision Instrument and Opto-Electronics Engineering, Tianjin University, Tianjin 300072, China

³Hebei Computational Optical Imaging and Photoelectric Detection Technology Innovation Center, Handan 056038, Hebei , China

⁴Hebei International Joint Research Center for Computational Optical Imaging and Intelligent Sensing, Handan 056038, Hebei , China

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Figures & Tables(14)

Fig. 1. Exhaled aerosol particle field experimental setup

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Fig. 2. Processing results of the standard particle field holography. (a) Hologram; (b) reconstructed image; (c) binary image; (d) particle size distribution

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Fig. 3. Exhaled aerosol hologram processing results. (a)‒(c) Healthy; (d)‒(f) influenza infection

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Fig. 4. PDF (left) and CDF (right) of exhaled aerosol particle sizes for female volunteer No. 1. (a) Healthy; (b) infected

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Fig. 5. PDF (left) and CDF (right) of exhaled aerosol particle sizes for male volunteer No. 9. (a) Healthy; (b) infected

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Fig. 6. Results of characteristic diameter with different particle numbers

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Fig. 7. Results for each volunteer with different particle numbers. (a) D₁₀; (b) D₃₂

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Fig. 8. Results of characteristic diameter for 24 volunteers

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Fig. 9. The relationship between correct rate and diagnostic criteria

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Table 1. D_j, standard deviation, and coefficient of variation of healthy and infected volunteers

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Table 1. D_j, standard deviation, and coefficient of variation of healthy and infected volunteers

Index	Characteristic diameter （healthy）				Characteristic diameter （infected）
Index	D₁₀	D₃₂	D₄₃	D_N50	D₁₀	D₃₂	D₄₃	D_N50
D_j/μm	10.624	17.240	19.866	10.096	12.270	19.868	22.119	11.360
Standard deviation /μm	1.014	0.946	1.968	1.657	1.328	1.906	2.298	1.925
CV /%	9.54	5.49	9.91	16.64	10.82	9.59	10.39	16.95

Table 2. Test results based on D_j of healthy volunteer
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Table 2. Test results based on D_j of healthy volunteer
D_j /μm Correct rate /%
Healthy volunteer Infected volunteer
D₁₀= 10.624 48.50 92.80
D₃₂= 17.240 49.14 90.79
D₄₃= 19.866 53.85 84.80
D_N50= 10.096 53.52 77.20

Table 3. Test results based on D_j of infected volunteer
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Table 3. Test results based on D_j of infected volunteer
D_j /μm Correct rate /%
Healthy volunteer Infected volunteer
D₁₀= 12.270 78.80 64.72
D₃₂= 19.868 88.90 68.48
D₄₃= 22.119 84.88 64.55
D_N50= 11.360 71.95 52.09

Table 4. Diagnostic criteria
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Table 4. Diagnostic criteria
Characteristic diameter D₁₀ D₃₂ D₄₃ D_N50
Benchmark value /μm 11.46 17.93 20.12 10.39

Table 5. Test results based on the diagnostic criteria
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Table 5. Test results based on the diagnostic criteria
Diagnostic criteria /μm Correct rate /%
Healthy volunteer Infected volunteer
D₁₀= 11.46 70.43 76.26
D₃₂= 17.93 81.65 80.16
D₄₃= 20.12 86.84 75.30
D_N50= 10.39 58.91 67.88

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Dechao Zhao, Qieni Lü, Huaying Wang, Di Zhen, Zhongwei Sun. Diagnostic Method for Exhaled Aerosol Particle Field Based on Digital In-Line Holography[J]. Laser & Optoelectronics Progress, 2025, 62(2): 0209001

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