HTPheno: An image analysis pipeline for high-throughput plant phenotyping

2011299 citationsJournal Articlegold Open Access

Authors

Anja Hartmann · Leibniz Institute of Plant Genetics and Crop Plant Research

Tobias Czauderna · Leibniz Institute of Plant Genetics and Crop Plant Research

Roberto Hoffmann · Martin Luther University Halle-Wittenberg

Nils Stein · Leibniz Institute of Plant Genetics and Crop Plant Research

Falk Schreiber · Martin Luther University Halle-Wittenberg

Abstract

HTPheno, an open source image analysis pipeline, supplies a flexible and adaptable ImageJ plugin which can be used for automated image analysis in high-throughput plant phenotyping and therefore to derive new biological insights, such as determination of fitness.

Topics & Keywords

Cell Image Analysis Techniques Advanced Electron Microscopy Techniques and Applications

UN Sustainable Development Goals

Responsible consumption and production

Publication Details

Published in: BMC Bioinformatics

Volume 12, Issue 1, pp. 148-148

DOI: 10.1186/1471-2105-12-148

Field-Weighted Citation Impact: 16.01