3D deterministic lateral displacement (3D-DLD) cartridge system for high throughput particle sorting

2020 ◽  
Vol 56 (38) ◽  
pp. 5190-5193 ◽  
Author(s):  
Petra Jusková ◽  
Lionel Matthys ◽  
Jean-Louis Viovy ◽  
Laurent Malaquin

A new 3D architecture for the deterministic lateral displacement microfluidic device based on ultra-high aspect ratio arch-shaped pillars.

2013 ◽  
Vol 20 (10-11) ◽  
pp. 1815-1825 ◽  
Author(s):  
Mateusz L. Hupert ◽  
Joshua M. Jackson ◽  
Hong Wang ◽  
Małgorzata A. Witek ◽  
Joyce Kamande ◽  
...  

2016 ◽  
Vol 10 (1) ◽  
pp. 014125 ◽  
Author(s):  
Naotomo Tottori ◽  
Takasi Nisisako ◽  
Jongho Park ◽  
Yasuko Yanagida ◽  
Takeshi Hatsuzawa

Author(s):  
Kawkab Ahasan ◽  
Jong-Hoon Kim

Abstract Deterministic lateral displacement (DLD) is a method of inertial size-based particle separation with potential applications in high throughput sample processing, such as the fractionation of blood or the purification of target species like viral particles or circulating tumor cells. Recently, it has been shown that symmetric airfoils with neutral angle-of-attack (AoA) can be used for high-throughput design of DLD device, due to their mitigation of vortex effects and preservation of flow symmetry under high Reynolds number (Re) conditions. While high-Re operation with symmetric airfoils has been established, the effect of AoA for airfoil on the DLD performance has not been characterized. In this study, we present a high-Re investigation with symmetric airfoil-shaped pillars having positive and negative 15 degree AoA. Both positive and negative AoA configurations yield significant flow anisotropy at higher flow rates. The stronger shift of the critical diameter (Dc) was observed with negative AoA, but not in positive AoA device. The most likely contributor may be the growing anisotropy that develops in the AoA device at higher flow rates. This study shows that high-Re DLD design with airfoil shaped pillars requires significant consideration for pillar orientation to control flow symmetry.


2015 ◽  
Vol 32 (4) ◽  
pp. 463-471 ◽  
Author(s):  
F. Khodaee ◽  
S. Movahed ◽  
N. Fatouraee ◽  
F. Daneshmand

AbstractDeterministic Lateral Displacement (DLD) microfluidic devices provide a reliable label-free separation method for detection of circulating tumor cells (CTCs) in blood samples based on their biophysical properties. In this paper, we proposed an effective design of the DLD microfluidic device for the CTC separation in the blood stream. A typical DLD array is designed and numerical simulations are performed to separate the CTC and leukocyte (white blood cells) in different fluid flow conditions. Fluid-Solid Interaction method is used to investigate the behaviour of these deformable cells in fluid flow. In this study, the effects of critical parameters affecting cell separation in the DLD microfluidic devices (e.g.flow condition, cell deformability, and stress) have been investigated. The obtained results show that unlike leukocytes, the CTC’s motion is independent of the flow condition and is laterally displaced even in higher Reynolds number. Larger cells (CTCs) cannot intercept the low-velocity fluid near the wall of the posts; thus, they move faster and become separated from leukocytes. To reduce the cellular stress during separation process, which causes increase of cell viability and more effective design of microfluidic device, the results obtained here may be used as a significant design parameter for the DLD fabrication.


Sensors ◽  
2018 ◽  
Vol 18 (5) ◽  
pp. 1568 ◽  
Author(s):  
Paul Charles ◽  
Varun Wadhwa ◽  
Amara Kouyate ◽  
Kelly Mesa-Donado ◽  
Andre Adams ◽  
...  

Author(s):  
Eric A. Gioe ◽  
Xiaolin Chen ◽  
Jong-Hoon Kim

Abstract Microfluidics has shown great promise for the sorting or separation of biological cells such as circulating tumor cells since the first studies came out a few decades ago. With recent advances in high-throughput microfluidics, analysis of massive amounts of data needs to be completed in an iterative, timely manner. However, the majority of analysis is either performed manually or through the use of superimposing multiple images to define the flow of the particles, taking a significant amount of time to complete. The objective of the work is to increase the efficiency and repeatability of particle detection in a high-throughput deterministic lateral displacement (DLD) device. The program proposed is in the early stages of development, but shows promise. The average time it takes to analyze over a gigabyte of video is 24.21 seconds. The average percent error of the total particle detection was 21.42%. The assumptions made for the initial version of the program affect the accuracy of the particle in wall detection, so new techniques that do not follow the assumptions will need to be investigated. More work will be completed to implement machine learning or deep learning to assist in the development of DLD devices.


Lab on a Chip ◽  
2005 ◽  
Vol 5 (1) ◽  
pp. 44 ◽  
Author(s):  
Paul J. Hung ◽  
Philip J. Lee ◽  
Poorya Sabounchi ◽  
Nima Aghdam ◽  
Robert Lin ◽  
...  

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