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

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Bibliographic Details
Title: Pipeline for FlowCam data processing with modular open-source software and optional machine learning classification.
Authors: Symiakaki K; Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany.; Institute of Biology, Freie Universität Berlin, Berlin, Germany., Walles TJW; Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany., Park C; Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany., Yalçın G; Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany., Siangsano K; Applied Mathematics, Mahidol University, Bangkok, Thailand., Berger SA; Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany., Nejstgaard JC; Leibniz Institute of Freshwater Ecology and Inland Fisheries (IGB), Stechlin, Germany.
Source: PeerJ [PeerJ] 2026 Mar 24; Vol. 14, pp. e20754. Date of Electronic Publication: 2026 Mar 24 (Print Publication: 2026).
Publication Type: Journal Article
Journal Info: Publisher: PeerJ Inc Country of Publication: United States NLM ID: 101603425 Publication Model: eCollection Cited Medium: Internet ISSN: 2167-8359 (Electronic) Linking ISSN: 21678359 NLM ISO Abbreviation: PeerJ Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2167-8359
DOI:10.7717/peerj.20754