Pipeline for FlowCam data processing with modular open-source software and optional machine learning classification.

Symiakaki K, Walles TJW, Park C, Yalçın G, Siangsano K, Berger SA, Nejstgaard JC

DOI: 10.7717/peerj.20754
Published: 2026
Container: PeerJ
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.7717/peerj.20754,
  title = {Pipeline for FlowCam data processing with modular open-source software and optional machine learning classification.},
  author = {Symiakaki K and Walles TJW and Park C and Yalçın G and Siangsano K and Berger SA and Nejstgaard JC},
  year = {2026},
  journal = {PeerJ},
  doi = {10.7717/peerj.20754},
  url = {https://doi.org/10.7717/peerj.20754}
}

RIS

TY  - JOUR
TI  - Pipeline for FlowCam data processing with modular open-source software and optional machine learning classification.
AU  - Symiakaki K
AU  - Walles TJW
AU  - Park C
AU  - Yalçın G
AU  - Siangsano K
AU  - Berger SA
AU  - Nejstgaard JC
PY  - 2026
JO  - PeerJ
DO  - 10.7717/peerj.20754
UR  - https://doi.org/10.7717/peerj.20754
ER  -

APA

K, S., TJW, W., C, P., G, Y., K, S., SA, B., & JC, N. (2026). Pipeline for FlowCam data processing with modular open-source software and optional machine learning classification.. PeerJ. https://doi.org/10.7717/peerj.20754

Source records

pubmed · retrieved 2026-09-24T20:40:01.179Z