On-chip multiple particle velocity and size measurement using single-shot two-wavelength differential image analysis

Shuya Sawa, Mitsuru Sentoku, Kenji Yasuda

Research output: Contribution to journalArticlepeer-review

Abstract

Precise and quick measurement of samples’ flow velocities is essential for cell sorting timing control and reconstruction of acquired image-analyzed data. We developed a simple technique for the single-shot measurement of flow velocities of particles simultaneously in a microfluidic pathway. The speed was calculated from the difference in the particles’ elongation in an acquired image that appeared when two wavelengths of light with different irradiation times were applied. We ran microparticles through an imaging flow cytometer and irradiated two wavelengths of light with different irradiation times simultaneously to those particles. The mixture of the two wavelength transmitted lights was divided into two wavelengths, and the images of the same microparticles for each wavelength were acquired in a single shot. We estimated the velocity from the difference of its elongation divided by the difference of irradiation time by comparing these two images. The distribution of polystyrene beads’ velocity was parabolic and highest at the center of the flow channel, consistent with the expected velocity distribution of the laminar flow. Applying the calculated velocity, we also restored the accurate shapes and cross-sectional areas of particles in the images, indicating this simple method for improving of imaging flow cytometry and cell sorter for diagnostic screening of circulating tumor cells.

Original languageEnglish
Article number1011
Pages (from-to)1-15
Number of pages15
JournalMicromachines
Volume11
Issue number11
DOIs
Publication statusPublished - 2020 Nov

Keywords

  • Exposure time difference
  • Imaging flow cytometer
  • Multi-view imaging
  • Particle shape reconstruction
  • Precise velocity measurement
  • Single-shot image-based velocity measurement

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Mechanical Engineering
  • Electrical and Electronic Engineering

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