scholarly journals An on-chip imaging droplet-sorting system: a real-time shape recognition method to screen target cells in droplets with single cell resolution

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Mathias Girault ◽  
Hyonchol Kim ◽  
Hisayuki Arakawa ◽  
Kenji Matsuura ◽  
Masao Odaka ◽  
...  
2005 ◽  
Vol 17 (4) ◽  
pp. 410-419 ◽  
Author(s):  
Takashi Komuro ◽  
◽  
Yoshiki Senjo ◽  
Kiyohiro Sogen ◽  
Shingo Kagami ◽  
...  

We propose a method to realize robust real-time shape recognition against noise and occlusion by using information of an entire image, and by performing image processing in a pixel parallel manner. The evaluation by simulation showed that the proposed method was effective for images with noise or partially occluded images. We implemented the algorithm to a vision chip which performs pixel-parallel processing and confirmed real-time operation. We also estimated the performance of the method on an ideal processor.


2017 ◽  
Vol 24 (10) ◽  
pp. 3985-3993
Author(s):  
Yung-Tsung Hou ◽  
Shiow-Luan Wang

2021 ◽  
Author(s):  
Yuha Koike ◽  
Shunnosuke Kodera ◽  
Yoshiyuki Yokoyama ◽  
Takeshi Hayakawa

Abstract A light-driven gel actuator is a potential candidate for a single-cell manipulation tool because it allows cells to be manipulated while ensuring less damage. Moreover, a large number of actuators can be integrated into a microfluidic chip because no wiring is required. Previously, we proposed a method for cell manipulation using light-driven gel actuators. However, the system used in the previous work did not allow the targeted cells to be manipulated in real time because the system used in the previous work could only irradiate preprogrammed patterned light. Moreover, when a large number of gel actuators are integrated into a chip, the Gaussian distribution of the laser light source results in the response characteristics of the gel actuators varying with the location of the actuator. In this work, we constructed a system that homogenized the intensity of the patterned light used for irradiation, allowing multiple gel actuators to be driven in parallel in real time. The intensity-homogenized patterned light improved the variations in the response characteristics of the gel actuators, and as a result, we succeeded in actuating gel actuators with various light patterns in real time.


Author(s):  
Young Chun Kwon ◽  
Yeon-woo Kim ◽  
Sunhan Jeong ◽  
Nakhoon Baek

2020 ◽  
Vol 6 (22) ◽  
pp. eaba6712 ◽  
Author(s):  
A. Isozaki ◽  
Y. Nakagawa ◽  
M. H. Loo ◽  
Y. Shibata ◽  
N. Tanaka ◽  
...  

Droplet microfluidics has become a powerful tool in precision medicine, green biotechnology, and cell therapy for single-cell analysis and selection by virtue of its ability to effectively confine cells. However, there remains a fundamental trade-off between droplet volume and sorting throughput, limiting the advantages of droplet microfluidics to small droplets (<10 pl) that are incompatible with long-term maintenance and growth of most cells. We present a sequentially addressable dielectrophoretic array (SADA) sorter to overcome this problem. The SADA sorter uses an on-chip array of electrodes activated and deactivated in a sequence synchronized to the speed and position of a passing target droplet to deliver an accumulated dielectrophoretic force and gently pull it in the direction of sorting in a high-speed flow. We use it to demonstrate large-droplet sorting with ~20-fold higher throughputs than conventional techniques and apply it to long-term single-cell analysis of Saccharomyces cerevisiae based on their growth rate.


Lab on a Chip ◽  
2019 ◽  
Vol 19 (14) ◽  
pp. 2425-2434 ◽  
Author(s):  
Meng Ting Chung ◽  
Katsuo Kurabayashi ◽  
Dawen Cai

We present a droplet-based microfluidic platform that permits seamless on-chip droplet sorting and merging, which enables completing multi-step reaction assays within a short time, and demonstrate detection of specific single-cell mRNA expressions.


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