Deterministic Lateral Displacement (DLD) Analysis Tool Utilizing Machine Learning towards High-Throughput Separation

Deterministic Lateral Displacement (DLD) Analysis Tool Utilizing Machine Learning towards High-Throughput Separation

Deterministic lateral displacement (DLD) is a microfluidic method for the continuous separation of particles based on their size. There is growing interest in using DLD for harvesting circulating tumor cells from blood for further assays due to its low cost and robustness. While DLD is a powerful to...

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Bibliographic Details
Main Authors: Eric Gioe, Mohammed Raihan Uddin, Jong-Hoon Kim, Xiaolin Chen
Format: Article
Language:English
Published: MDPI AG 2022-04-01
Series:Micromachines
Subjects:
deterministic lateral displacement
machine vision
machine learning
high throughput
separation and purification
analysis automation
Online Access:https://www.mdpi.com/2072-666X/13/5/661

Internet

https://www.mdpi.com/2072-666X/13/5/661

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