Intelligent optofluidic analysis for ultrafast single bacterium profiling of cellulose production and morphology-Reference-Cited by-同舟云学术

Intelligent optofluidic analysis for ultrafast single bacterium profiling of cellulose production and morphology

Published:2020 Issue:3 Volume:20 Page:626-633
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Yu Jiaqing¹²³,Sun Guoyun¹²³,Lin Nicholas Weikang¹²³,Vadanan Sundaravadanam Vishnu⁴⁵⁶,Lim Sierin⁴⁵⁶^ORCID,Chen Chia-Hung¹⁷⁸⁹^ORCID

Affiliation:

1. Department of Biomedical Engineering

2. National University of Singapore

3. 117575 Singapore

4. School of Chemical and Biomedical Engineering

5. Nanyang Technological University

6. 637457 Singapore

7. City University of Hong Kong

8. Kowloon Tong

9. Hong Kong

Abstract

A continuous-flow intelligent optofluidic device using a convolutional neural network (CNN) computational method was developed to enable high-throughput single-bacterium profiling of bacteria cellulose (BC) with a throughput of ∼35 bacteria per second.

Funder

City University of Hong Kong

National Medical Research Council

National Research Foundation Singapore

Ministry of Education - Singapore

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2020/LC/C9LC01105F

Reference27 articles.