Angio-Net: deep learning-based label-free detection and morphometric analysis of <i>in vitro</i> angiogenesis-Reference-Cited by-同舟云学术

Angio-Net: deep learning-based label-free detection and morphometric analysis of in vitro angiogenesis

Published:2024 Issue:4 Volume:24 Page:751-763
ISSN:1473-0197
Container-title:Lab on a Chip
language:en
Short-container-title:Lab Chip

Author:

Kim Suryong¹,Lee Jungseub¹,Ko Jihoon²^ORCID,Park Seonghyuk¹,Lee Seung-Ryeol¹,Kim Youngtaek¹^ORCID,Lee Taeseung¹,Choi Sunbeen¹^ORCID,Kim Jiho¹,Kim Wonbae¹,Chung Yoojin³,Kwon Oh-Heum⁴,Jeon Noo Li¹⁵^ORCID

Affiliation:

1. Department of Mechanical Engineering, Seoul National University, Seoul, 08826, Republic of Korea

2. Department of BioNano Technology, Gachon University, Gyeonggi, 13120, Republic of Korea

3. Division of Computer Engineering, Hankuk University of Foreign Studies, Yongin, 17035, Republic of Korea

4. Department of IT convergence and Applications Engineering, Pukyong National University, Busan, 48513, Republic of Korea

5. Institute of Advanced Machines and Design, Seoul National University, Seoul, 08826, Republic of Korea

Abstract

This study introduces Angio-Net, which integrates a high-throughput 3D cell culture device, large-scale image data generation, and deep learning-based virtual staining. The system demonstrated fast and accurate quantitative analysis of complex angiogenesis.

Funder

National Research Foundation of Korea

Publisher

Royal Society of Chemistry (RSC)

Link

http://pubs.rsc.org/en/content/articlepdf/2024/LC/D3LC00935A

Reference45 articles.

1. Three-dimensional cell culture: the missing link in drug discovery

2. Simultaneous Morphology, Motility, and Fragmentation Analysis of Live Individual Sperm Cells for Male Fertility Evaluation

3. Engineers are from PDMS-land, Biologists are from Polystyrenia

4. Wet-AMD on a Chip: Modeling Outer Blood-Retinal Barrier In Vitro

5. Author Correction: A complex human gut microbiome cultured in an anaerobic intestine-on-a-chip

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