Droplet-based microfluidics

T Moragues, D Arguijo, T Beneyton, C Modavi… - Nature Reviews …, 2023 - nature.com
Droplet-based microfluidic systems generate, manipulate and control sub-microlitre droplets
enclosed within an immiscible carrier fluid. Owing to a number of remarkable features, such …

[HTML][HTML] Machine learning for microfluidic design and control

D McIntyre, A Lashkaripour, P Fordyce, D Densmore - Lab on a Chip, 2022 - pubs.rsc.org
Microfluidics has developed into a mature field with applications across science and
engineering, having particular commercial success in molecular diagnostics, next …

[HTML][HTML] Intelligent microfluidics: The convergence of machine learning and microfluidics in materials science and biomedicine

EA Galan, H Zhao, X Wang, Q Dai, WTS Huck, S Ma - Matter, 2020 - cell.com
Microfluidics permit the automated manipulation of fluids at the microscale with high
throughput and spatiotemporal precision, enabling the generation of large, multidimensional …

[PDF][PDF] 卷积神经网络在流场重构研究中的进展

陈皓, 郭明明, 田野, 陈尔达, 邓雪, 乐嘉陵, 李林静 - 力学学报, 2022 - lxxb.cstam.org.cn
近年来, 随着深度学习在图像处理, 语音识别, 自动驾驶, 自然语言处理等领域迅速发展,
该技术也被越来越广泛地应用于处理具有复杂非线性, 高维度, 大数据量等特点的流体力学方向 …

Droplet based microfluidics integrated with machine learning

S Srikanth, SK Dubey, A Javed, S Goel - Sensors and Actuators A: Physical, 2021 - Elsevier
Droplet based microfluidics (DBMF) has gained huge recognition in the recent years for
performing micro-reactions in droplets with high throughput, sensitivity, specificity and …

Exploiting machine learning for bestowing intelligence to microfluidics

J Zheng, T Cole, Y Zhang, J Kim, SY Tang - Biosensors and Bioelectronics, 2021 - Elsevier
Intelligent microfluidics is an emerging cross-discipline research area formed by combining
microfluidics with machine learning. It uses the advantages of microfluidics, such as high …

[HTML][HTML] Surfactant-laden droplet size prediction in a flow-focusing microchannel: a data-driven approach

L Chagot, C Quilodrán-Casas, M Kalli, NM Kovalchuk… - Lab on a Chip, 2022 - pubs.rsc.org
The control of droplet formation and size using microfluidic devices is a critical operation for
both laboratory and industrial applications, eg in micro-dosage. Surfactants can be added to …

Applications of Artificial Intelligence Models for Computational Flow Dynamics and Droplet Microfluidics

JGC Ramírez, M Hassan… - Journal of Sustainable …, 2022 - publications.dlpress.org
Microfluidics allows for the manipulation and analysis of minuscule amounts of liquid within
a system that contains multiple channels, ports, and samples. Advanced microfluidic …

Artificial intelligence-controlled microfluidic device for fluid automation and bubble removal of immunoassay operated by a smartphone

NH Bhuiyan, JH Hong, MJ Uddin, JS Shim - Analytical Chemistry, 2022 - ACS Publications
There have been tremendous innovations in microfluidic clinical diagnostics to facilitate
novel point-of-care testing (POCT) over the past decades. However, the automatic operation …

[HTML][HTML] Benchmarking YOLOv5 and YOLOv7 models with DeepSORT for droplet tracking applications

M Durve, S Orsini, A Tiribocchi, A Montessori… - The European Physical …, 2023 - Springer
Tracking droplets in microfluidics is a challenging task. The difficulty arises in choosing a
tool to analyze general microfluidic videos to infer physical quantities. The state-of-the-art …