ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks.

Erguvan Ö, Louveaux M, Hamant O, Verger S

DOI: 10.1186/s12915-019-0657-1
Published: 2019 May 9
Container: BMC biology
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1186/s12915-019-0657-1,
  title = {ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks.},
  author = {Erguvan Ö and Louveaux M and Hamant O and Verger S},
  year = {2019},
  journal = {BMC biology},
  doi = {10.1186/s12915-019-0657-1},
  url = {https://doi.org/10.1186/s12915-019-0657-1}
}

RIS

TY  - JOUR
TI  - ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks.
AU  - Erguvan Ö
AU  - Louveaux M
AU  - Hamant O
AU  - Verger S
PY  - 2019
JO  - BMC biology
DO  - 10.1186/s12915-019-0657-1
UR  - https://doi.org/10.1186/s12915-019-0657-1
ER  -

APA

Ö, E., M, L., O, H., & S, V. (2019). ImageJ SurfCut: a user-friendly pipeline for high-throughput extraction of cell contours from 3D image stacks.. BMC biology. https://doi.org/10.1186/s12915-019-0657-1

Source records

pubmed · retrieved 2026-09-25T18:52:56.260Z
europe-pmc · retrieved 2026-09-25T18:52:56.249Z