Analysis of High-throughput Plant Image Data with the Information System IAP

摘要：

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.

作者: Christian Klukas Jean-Michel Pape Alexander Entzian

作者单位: Research Group Image Analysis,Leibniz Institute of Plant Genetics and Crop Plant Research, Gatersleben, Germany

会议类型: 国际会议

会议名称: International Symposium on Integrative Bioinformatics the 8th Annual Meeting(2012年整合生物信息学国际会议暨第八届年度会议 IB 2012)

会议地点: 杭州

会议语种:英文

页码: 108-110

在线出版日期: 2012-04-02（万方平台首次上网日期，不代表论文的发表时间）