Improvement of particle alignment control and precise image acquisition for on-chip high-speed imaging cell sorter

Akihiro Hattori, Tomoyuki Kaneko, Kenji Yasuda

Research output: Contribution to journalArticle

8 Citations (Scopus)

Abstract

We have developed a real-time imaging cell sorting system composed of a micrometer-sized gel-electrode-embedded microfluidic sorting chip and a real-time image analysis/recognition unit equipped with a high-speed camera and image processing circuits. For the microfluidic continuous cell sorting, we have examined the precise position and velocity control of flowing particles and the precise acquisition of microscopic images of flowing particles. The results showed that (1) hydrodynamic focusing can line up particles precisely within a range of 5 μm particle size distribution, (2) active air pressure-driven flow velocity control can create the flow in the microfluidic pathways up to 160mm/s with 0.15MPa air pressure maintaining linear correlation between air pressure and flow velocity, and (3) 1μs flash illumination can prevent the blur even under 200mm/s flow. Applying the above elements into the system, the recognition error of target particles was within 5% for 2 μm particles with 2.5mm/s flow. The experimental results demonstrate the potential of the image index-based on-chip cell sorter for practical application.

Original languageEnglish
Article number06GL06
JournalJapanese Journal of Applied Physics
Volume50
Issue number6 PART 2
DOIs
Publication statusPublished - 2011 Jun
Externally publishedYes

Fingerprint

Image acquisition
Sorting
Microfluidics
Velocity control
acquisition
chips
alignment
high speed
Imaging techniques
Flow velocity
classifying
Air
cells
Cells
High speed cameras
Position control
air
Flow control
Particle size analysis
Image analysis

ASJC Scopus subject areas

  • Engineering(all)
  • Physics and Astronomy(all)

Cite this

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abstract = "We have developed a real-time imaging cell sorting system composed of a micrometer-sized gel-electrode-embedded microfluidic sorting chip and a real-time image analysis/recognition unit equipped with a high-speed camera and image processing circuits. For the microfluidic continuous cell sorting, we have examined the precise position and velocity control of flowing particles and the precise acquisition of microscopic images of flowing particles. The results showed that (1) hydrodynamic focusing can line up particles precisely within a range of 5 μm particle size distribution, (2) active air pressure-driven flow velocity control can create the flow in the microfluidic pathways up to 160mm/s with 0.15MPa air pressure maintaining linear correlation between air pressure and flow velocity, and (3) 1μs flash illumination can prevent the blur even under 200mm/s flow. Applying the above elements into the system, the recognition error of target particles was within 5{\%} for 2 μm particles with 2.5mm/s flow. The experimental results demonstrate the potential of the image index-based on-chip cell sorter for practical application.",
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