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Article

Quantitative monitoring of Arabidopsis thaliana growth and development using high-throughput plant phenotyping.

Scientific data - 16 Aug 2016

Arend Daniel, Lange Matthias, Pape Jean-Michel, Weigelt-Fischer Kathleen, Arana-Ceballos Fernando, Mücke Ingo, Klukas Christian, Altmann Thomas, Scholz Uwe, Junker Astrid

Abstract excerpt

With the implementation of novel automated, high throughput methods and facilities in the last years, plant phenomics has developed into a highly interdisciplinary research domain integrating biology, engineering and bioinformatics. Here we present a dataset of a non-invasive high throughput plant phenotyping experiment, which uses image- and image analysis- based approaches to monitor the growth and development...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 27529152
DOI: 10.1038/sdata.2016.55
PMCID: PMC4986541

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PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 7 Sept 2026. Manifest publication-graph-cohort-2026-09-07.1.

Source receipt: pubmed, retrieved 7 Sept 2026.

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