Analysis of high-throughput plant image data with the information system IAP

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doi doi:10.2390/biecoll-jib-2012-191
submission May 15, 2012
published June 29, 2012
NCBI PubMed PubMed ID 22745177

Christian Klukas, Jean-Michel Pape and Alexander Entzian

Correspondence should be addressed to:
Christian Klukas
Research Group Image Analysis, Leibniz Institute of Plant Genetics and Crop Plant Research (IPK), Corrensstr. 3, OT Gatersleben, 06466 Stadt Seeland, Germany
ed.nebelsretag-kpi@nullsakulk


Abstract

This work presents a sophisticated information system, the Integrated Analysis Platform (IAP), an approach supporting large-scale image analysis for different species and imaging systems. In its current form, IAP supports the investigation of Maize, Barley and Arabidopsis plants based on images obtained in different spectra. Several components of the IAP system, which are described in this work, cover the complete end-to-end pipeline, starting with the image transfer from the imaging infrastructure, (grid distributed) image analysis, data management for raw data and analysis results, to the automated generation of experiment reports.

Reference

Christian Klukas, Jean-Michel Pape and Alexander Entzian. Analysis of high-throughput plant image data with the information system IAP. Journal of Integrative Bioinformatics, 9(2):191, 2012. Online Journal: http://journal.imbio.de/index.php?paper_id=191
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