Enhanced segmentation of label‐free cells for automated migration and interaction tracking-Reference-Cited by-同舟云学术

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Enhanced segmentation of label‐free cells for automated migration and interaction tracking

Published:2021-06-10 Issue:12 Volume:99 Page:1218-1229
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry Pt A

Author:

Belyaev Ivan¹²,Praetorius Jan‐Philipp¹²^ORCID,Medyukhina Anna¹³,Figge Marc Thilo¹⁴^ORCID

Affiliation:

1. Applied Systems Biology Leibniz Institute for Natural Product Research and Infection Biology – Hans Knöll Institute (HKI) Jena Germany

2. Faculty of Biological Sciences Friedrich Schiller University Jena Jena Germany

3. Center for Bioimage Informatics St. Jude Children's Research Hospital Memphis Tennessee USA

4. Institute of Microbiology, Faculty of Biological Sciences Friedrich Schiller University Jena Jena Germany

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24466

Reference47 articles.

1. Image-based systems biology of infection

2. Taking Aim at Moving Targets in Computational Cell Migration

3. An objective comparison of cell-tracking algorithms

4. Quantitative Impact of Cell Membrane Fluorescence Labeling on Phagocytosis Measurements in Confrontation Assays

5. Automated Training of Deep Convolutional Neural Networks for Cell Segmentation

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Deep learning-based characterization of neutrophil activation phenotypes in ex vivo human Candida blood infections;Computational and Structural Biotechnology Journal;2024-12

2. A survey on automated cell tracking: challenges and solutions;Multimedia Tools and Applications;2024-03-09

3. Automated tracking of cell migration in phase contrast images with CellTraxx;Scientific Reports;2023-12-27

4. Automated characterisation of neutrophil activation phenotypes in ex vivo human Candida blood infections;Computational and Structural Biotechnology Journal;2022

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