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Multiparameter mobile blood analysis for complete blood count using contrast-enhanced defocusing imaging and machine
Duan Chen1,2, Ning Li1,2, Shaoqun Zeng1,2
1Britton Chance Center for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China. xlliu@hust.edu.cn.
The Analyst
|March 27, 2023
Summary
A new mobile blood analyzer uses advanced imaging and machine vision for rapid, on-site analysis. This low-cost device accurately measures key blood parameters, aiding disease diagnosis in underserved areas.
Area of Science:
- Biomedical Engineering
- Medical Diagnostics
- Optical Imaging
Background:
- Complete blood count is essential for disease diagnosis but typically requires expensive lab equipment.
- Current methods limit widespread blood analysis accessibility, especially in resource-limited settings.
Purpose of the Study:
- To develop a portable, low-cost multiparameter blood analyzer for instant, on-site diagnostic applications.
- To integrate label-free contrast-enhanced defocusing imaging (CEDI) with machine vision for comprehensive blood analysis.
Main Methods:
- Designed a miniature microscope (105x77x64 mm, 314g) with aspheric lenses and a 415 nm LED for blood image acquisition.
- Employed CEDI to obtain refractive index distributions of white blood cells (WBC) and hemoglobin spectrophotometric data.
- Utilized machine vision algorithms and the Lambert-Beer law for parameter quantification.
Main Results:
- The analyzer provides five-part WBC differential count, red blood cell (RBC) count, and mean corpuscular hemoglobin (MCH) quantification.
- Analysis is completed within 10 minutes without complex staining.
- Measurements from 30 samples showed strong linear correlation with clinical reference values (p<0.0001).
Conclusions:
- A miniature, lightweight, low-cost, and user-friendly blood analysis technique was developed.
- This mobile device overcomes challenges in simultaneously analyzing WBC, RBC, and MCH.
- The technology holds significant potential for disease surveillance, including infections and anemia, particularly in low- and middle-income countries.
