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Optofluidic device for label-free cell classification from whole blood
1Materials Science and Engineering Program, University of California, San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0407, USA, tfwu@jacobs.ucsd.edu.
Methods in Molecular Biology (Clifton, N.J.)
|January 29, 2015
Summary
This study presents a novel optofluidic device for rapid neutrophil enumeration using optical scattering. The compact, low-cost system enables point-of-care neutrophil counting from minimal blood samples without complex preparation.
Area of Science:
- Optofluidics
- Biomedical Engineering
- Cellular Analysis
Background:
- Accurate neutrophil enumeration is crucial for monitoring immune function, especially in cancer patients undergoing chemotherapy.
- Traditional methods for cell counting are often time-consuming, require large sample volumes, and involve complex laboratory procedures.
Purpose of the Study:
- To demonstrate a novel optofluidic lab-on-a-chip device for label-free cell classification and enumeration.
- To enable rapid and accurate quantification of neutrophil concentration in small blood volumes.
Main Methods:
- Development of an optofluidic device utilizing a spatial mask to modulate light intensity for cell detection.
- Measurement of cell position, velocity, size, and stiffness via optically encoded forward scattering signals.
- Utilizing differences in size and stiffness to distinguish neutrophils from other blood cells.
Main Results:
- The device achieved submicrometer resolution in measuring cell parameters, enabling cell distribution plotting.
- Neutrophil concentration was accurately enumerated from a mere 5 μL of human blood.
- The system successfully identified and counted neutrophils without the need for anticoagulation, centrifugation, or antibody labeling.
Conclusions:
- The developed optofluidic system offers a compact, inexpensive, and simple solution for neutrophil enumeration.
- This technology holds significant promise for point-of-care and home-care applications, particularly for monitoring cancer patients.
- Label-free optical coding provides an efficient method for cell classification based on physical properties.

