Optofluidic imaging meets deep learning: from merging to emerging-Reference-Cited by-同舟云学术

Optofluidic imaging meets deep learning: from merging to emerging

Published:2023 Issue:5 Volume:23 Page:1011-1033
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Siu Dickson M. D.¹^ORCID,Lee Kelvin C. M.¹^ORCID,Chung Bob M. F.²,Wong Justin S. J.³^ORCID,Zheng Guoan⁴,Tsia Kevin K.¹²^ORCID

Affiliation:

1. Department of Electrical and Electronic Engineering, The University of Hong Kong, Hong Kong, Hong Kong

2. Advanced Biomedical Instrumentation Centre, Hong Kong Science Park, Shatin, New Territories, Hong Kong

3. Conzeb Limited, Hong Kong Science Park, Shatin, New Territories, Hong Kong

4. Department of Biomedical Engineering, University of Connecticut, Storrs, CT, USA

Abstract

We discuss the recent trends in integrating deep-learning (DL) and optofluidic imaging. A holistic understanding of them could incentivize DL-powered optofluidic imaging for advancing a wide range of novel applications in science and biomedicine.

Funder

Research Grants Council, University Grants Committee

University of Hong Kong

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/LC/D2LC00813K

Reference261 articles.

1. Miniaturized total chemical analysis systems: A novel concept for chemical sensing

2. Label-Free Assessment of the Drug Resistance of Epithelial Ovarian Cancer Cells in a Microfluidic Holographic Flow Cytometer Boosted through Machine Learning

3. Intelligent whole-blood imaging flow cytometry for simple, rapid, and cost-effective drug-susceptibility testing of leukemia

4. Multi‐ATOM: Ultrahigh‐throughput single‐cell quantitative phase imaging with subcellular resolution

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