Topology‐based fluorescence image analysis for automated cell identification and segmentation-Reference-Cited by-同舟云学术

Topology‐based fluorescence image analysis for automated cell identification and segmentation

Published:2022-11-25 Issue:3 Volume:16 Page:
ISSN:1864-063X
Container-title:Journal of Biophotonics
language:en
Short-container-title:Journal of Biophotonics

Author:

Panconi Luca¹^ORCID,Makarova Maria²,Lambert Eleanor R.¹,May Robin C.³,Owen Dylan M.¹

Affiliation:

1. Institute of Immunology and Immunotherapy, School of Mathematics and Centre of Membrane Proteins and Receptors, University of Birmingham Birmingham UK

2. Institute of Metabolism and Systems Research, University of Birmingham Birmingham UK

3. School of Biosciences and Institute of Microbiology and Infection, University of Birmingham Birmingham UK

Funder

Engineering and Physical Sciences Research Council

University of Birmingham

Publisher

Wiley

Subject

General Physics and Astronomy,General Engineering,General Biochemistry, Genetics and Molecular Biology,General Materials Science,General Chemistry

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/jbio.202200199

Reference33 articles.

1. Cell segmentation methods for label-free contrast microscopy: review and comprehensive comparison

2. FogBank: a single cell segmentation across multiple cell lines and image modalities

3. Geometric approach to segmentation and protein localization in cell culture assays

4. Cell segmentation and tracking using CNN-based distance predictions and a graph-based matching strategy

5. Fast Segmentation of Stained Nuclei in Terabyte-Scale, Time Resolved 3D Microscopy Image Stacks

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