Blood quality evaluation <i>via</i> on-chip classification of cell morphology using a deep learning algorithm-Reference-Cited by-同舟云学术

Blood quality evaluation via on-chip classification of cell morphology using a deep learning algorithm

Published:2023 Issue:8 Volume:23 Page:2113-2121
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Yang Yuping¹²,He Hong¹,Wang Junju¹,Chen Li¹,Xu Yi¹,Ge Chuang³,Li Shunbo¹^ORCID

Affiliation:

1. Key Laboratory of Optoelectronic Technology and Systems, Ministry of Education & Key Disciplines Laboratory of Novel Micro-Nano Devices and System Technology, College of Optoelectronic Engineering, Chongqing University, Chongqing 400044, China

2. Chongqing College of Electronic Engineering, Chongqing 401331, China

3. Chongqing Key Laboratory of Translational Research for Cancer Metastasis and Individualized Treatment, Chongqing University Cancer Hospital, Chongqing 400030, China

Abstract

Microfluidic technology and a deep learning model are combined to automatically recognize and classify RBCs with different morphologies.

Funder

National Natural Science Foundation of China

National Key Research and Development Program of China

Chongqing Municipal Education Commission

Publisher

Royal Society of Chemistry (RSC)

Subject

Biomedical Engineering,General Chemistry,Biochemistry,Bioengineering

Link

http://pubs.rsc.org/en/content/articlepdf/2023/LC/D2LC01078J