Artificial Intelligence (AI) in Microfluidics Systems
A special issue of Micromachines (ISSN 2072-666X). This special issue belongs to the section "B：Biology and Biomedicine".
Deadline for manuscript submissions: closed (15 January 2021) | Viewed by 780
Special Issue Editors
Interests: design automation; test; microfluidics
Interests: MEMS/NEMS; microfluidics; 3D tissue culture; electrochemical sensors; nanotechnology in biomedical applications
Special Issues, Collections and Topics in MDPI journals
Special Issue Information
It is my pleasure to announce this Special Issue on “Artificial Intelligence (AI) in Microfluidics Systems” to highlight new advances in this exciting field. I would be delighted if you would contribute a full article, a technical note or a review paper.
With the recent advances of high-throughput and multiplexed microfluidics systems, vast amounts of data will be generated, but not necessarily the ability to analyze complex data effectively. Additionally, design complexity is expected to become significant due to the need for multiple and concurrent assays on the microfluidics system, as well as more sophisticated control mechanisms for resource management. However, conventional design and analysis techniques do not scale well and thus find it difficult to help toward achieving the ultimate goals of high-resolution quality and fast time-to-market. In the past decade, Artificial Intelligence (AI) algorithms, particularly deep learning, have demonstrated remarkable progress for machines to better represent, analyze, and interpret complex data. Recently, AI techniques have successfully been applied and paved a new research direction within the microfluidics community, especially in design automation and experimental analysis aspects.
With this Special Issue, we would like to highlight the benefits but also the challenges in the adoption of this exciting AI technology. The general objective of this Special Issue is to create a focused forum on emerging AI-assisted solutions on microfluidics systems and its applications. Potential topics include but are not limited to the following:
- Antibiotic susceptibility test;
- Cell counting, detecting, sorting;
- Cell culturing, genomic, protein analysis, and imaging;
- Cell microenvironmental interaction;
- Concentration generation;
- Cytometry applications;
- Design automation and test;
- Droplet analysis, generation;
- Microorganisms detection, manipulation, and characterization;
- Neuronal activity detection;
- Organ-on-a-chip;
- Polymerase chain reaction applications;
- Solid phase liquid chromatography.
This Special Issue will act as a catalyst to initiate an exchange of perspectives and brainstorming among the leaders of this area to explore and determine future research directions on how to improve the impact of these technologies on real science.
I look forward to the production of an excellent Special Issue.
Prof. Dr. Tsung-Yi Ho
Prof. Dr. Fan-Gang Tseng
Guest Editors
Manuscript Submission Information
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