Simultaneous high-frame-rate recognition of cells fast-flowing in microchannels toward ultra-fast cell sorting

2015 Fiscal Year Final Research Report

• Project/Area Number: 26820158
• Research Category: Grant-in-Aid for Young Scientists (B)
• Allocation Type: Multi-year Fund
• Research Field: Measurement engineering
• Research Institution: Hiroshima University
• Principal Investigator: Gu Qingyi 広島大学, 工学(系)研究科(研究院), 特任准教授 (30713979)
• Project Period (FY): 2014-04-01 – 2016-03-31
• Keywords: High-speed vision / Cell sorting / Hardware implementation

Outline of Final Research Achievements

In this research project, we have achieved high-frame-rate recognition of cells fast-flowing in microchannels toward ultra-fast cell sorting by implementing a parallel multi-object feature extraction algorithm on a frame-straddling high-speed vision platform. Image-based cell features can be extracted in real-time by using hardware circuits. Recognition and classification of cells can be performed in real-time. High resolution ROI regions of fast-flowing cells in microchannels could be stored and analyzed at 1000 fps or higher. And ultra-fast analysis, inspection, and cell sorting could be achieved to increase production efficiency in bio-assembling. Lab-on-a-chip practitioners can easily apply it to real-time cell sorting of cells fast-flowing in microchannels, such as red blood or iPS cells.

Free Research Field

Engineering