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Updated: Aug 3, 2025

Microfluidic Imaging Flow Cytometry by Asymmetric-detection Time-stretch Optical Microscopy ATOM
Published on: June 28, 2017
Phase flow cytometry with coherent modulation imaging
Aihui Sun1, Xiaoliang He1, Zhilong Jiang1
1Department of Optoelectronic Information Science and Engineering, School of Science, Jiangnan University, Wuxi, Jiangsu, China.
This study introduces a novel phase flow cytometry technique for label-free imaging of fast-moving cells. The method offers compact design and high accuracy, proving effective for tumor cell detection.
Area of Science:
- Biophotonics
- Optical Imaging
- Cellular Analysis
Background:
- Label-free imaging and identification of fast-moving cells present significant challenges in biological research and diagnostics.
- Existing phase flow cytometry methods often require complex optical setups and are sensitive to environmental instability.
Purpose of the Study:
- To develop a compact and accurate method for label-free imaging and identification of fast-moving cells.
- To demonstrate the potential of this technique for applications such as tumor cell detection.
Main Methods:
- A phase flow cytometry system utilizing coherent modulation imaging was designed.
- The system employs a random phase plate and a detector, eliminating the need for a reference beam and complex optical alignment.
- Phase images are reconstructed from diffraction patterns with high accuracy (0.01 wavelength) and resolution (1.23 μm).
Main Results:
- The proposed method achieved label-free imaging and identification of fast-moving cells with high accuracy.
- The system demonstrated a compact optical structure and enhanced tolerance to environmental instability compared to other phase flow cytometry techniques.
- Experimental results indicated a field of view of 0.126 mm².
Conclusions:
- The developed phase flow cytometry technique offers an efficient optical tool for label-free cell analysis.
- Its compact design and robustness make it suitable for real-time applications.
- The method shows promise for label-free tumor cell detection and other diagnostic applications.
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