Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence

Bangfeng Wang, Yiwei Li, Mengfan Zhou, Yulong Han, Mingyu Zhang, Zhaolong Gao, Zetai Liu, Peng Chen, Wei Du, Xingcai Zhang (), Xiaojun Feng () and Bi-Feng Liu ()
Additional contact information
Bangfeng Wang: Huazhong University of Science and Technology
Yiwei Li: Huazhong University of Science and Technology
Mengfan Zhou: Huazhong University of Science and Technology
Yulong Han: Harvard University
Mingyu Zhang: Huazhong University of Science and Technology
Zhaolong Gao: Huazhong University of Science and Technology
Zetai Liu: Huazhong University of Science and Technology
Peng Chen: Huazhong University of Science and Technology
Wei Du: Huazhong University of Science and Technology
Xingcai Zhang: Harvard University
Xiaojun Feng: Huazhong University of Science and Technology
Bi-Feng Liu: Huazhong University of Science and Technology

Nature Communications, 2023, vol. 14, issue 1, 1-18

Abstract: Abstract The frequent outbreak of global infectious diseases has prompted the development of rapid and effective diagnostic tools for the early screening of potential patients in point-of-care testing scenarios. With advances in mobile computing power and microfluidic technology, the smartphone-based mobile health platform has drawn significant attention from researchers developing point-of-care testing devices that integrate microfluidic optical detection with artificial intelligence analysis. In this article, we summarize recent progress in these mobile health platforms, including the aspects of microfluidic chips, imaging modalities, supporting components, and the development of software algorithms. We document the application of mobile health platforms in terms of the detection objects, including molecules, viruses, cells, and parasites. Finally, we discuss the prospects for future development of mobile health platforms.

Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.nature.com/articles/s41467-023-36017-x Abstract (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-36017-x

Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/

DOI: 10.1038/s41467-023-36017-x

Access Statistics for this article

Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie

More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().