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ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics
Microfluidics has shown great potential in cell analysis, where the flowing path in the microfluidic device is important for the final study results. However, the design process is time-consuming and labor-intensive. Therefore, we proposed an ANN method with three dense layers to analyze particle tr...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781979/ https://www.ncbi.nlm.nih.gov/pubmed/36557399 http://dx.doi.org/10.3390/mi13122100 |
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author | Zhang, Naiyin Liang, Kaicong Liu, Zhenya Sun, Taotao Wang, Junchao |
author_facet | Zhang, Naiyin Liang, Kaicong Liu, Zhenya Sun, Taotao Wang, Junchao |
author_sort | Zhang, Naiyin |
collection | PubMed |
description | Microfluidics has shown great potential in cell analysis, where the flowing path in the microfluidic device is important for the final study results. However, the design process is time-consuming and labor-intensive. Therefore, we proposed an ANN method with three dense layers to analyze particle trajectories at the critical intersections and then put them together with the particle trajectories in straight channels. The results showed that the ANN prediction results are highly consistent with COMSOL simulation results, indicating the applicability of the proposed ANN method. In addition, this method not only shortened the simulation time but also lowered the computational expense, providing a useful tool for researchers who want to receive instant simulation results of particle trajectories. |
format | Online Article Text |
id | pubmed-9781979 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-97819792022-12-24 ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics Zhang, Naiyin Liang, Kaicong Liu, Zhenya Sun, Taotao Wang, Junchao Micromachines (Basel) Article Microfluidics has shown great potential in cell analysis, where the flowing path in the microfluidic device is important for the final study results. However, the design process is time-consuming and labor-intensive. Therefore, we proposed an ANN method with three dense layers to analyze particle trajectories at the critical intersections and then put them together with the particle trajectories in straight channels. The results showed that the ANN prediction results are highly consistent with COMSOL simulation results, indicating the applicability of the proposed ANN method. In addition, this method not only shortened the simulation time but also lowered the computational expense, providing a useful tool for researchers who want to receive instant simulation results of particle trajectories. MDPI 2022-11-28 /pmc/articles/PMC9781979/ /pubmed/36557399 http://dx.doi.org/10.3390/mi13122100 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zhang, Naiyin Liang, Kaicong Liu, Zhenya Sun, Taotao Wang, Junchao ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics |
title | ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics |
title_full | ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics |
title_fullStr | ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics |
title_full_unstemmed | ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics |
title_short | ANN-Based Instantaneous Simulation of Particle Trajectories in Microfluidics |
title_sort | ann-based instantaneous simulation of particle trajectories in microfluidics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9781979/ https://www.ncbi.nlm.nih.gov/pubmed/36557399 http://dx.doi.org/10.3390/mi13122100 |
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