RootScan: Software for high-throughput analysis of root anatomical traits

Amy L. Burton, Michael Williams, Jonathan P. Lynch, Kathleen M. Brown

Research output: Contribution to journalArticle

61 Scopus citations

Abstract

Background and aims: RootScan is a program for semi-automated image analysis of anatomical traits in root cross-sections. Methods: RootScan uses pixel thresholds to separate the cross-section from its background and to divide it into tissue regions. Area measurements and object counts are performed within various regions of interest. A graphical user interface permits the user to see which regions are selected, to edit those selections, and to rate and comment on the data. The structure of the program allows for organized workflow and increased data collection efficiency. Results: The program collects data on more than 20 variables per image including areas of the cross-section, stele, cortex, aerenchyma lacunae, xylem vessels, and counts of cortical cells and cell files. An increased rate of data collection allows collection of four times more variables in less time than is possible with current methods. Correlation analysis shows that RootScan data is equal or greater in accuracy than data collected with Photoshop. Conclusions: Compared with currently available tools, this software offers considerable improvements in the amount and quality of data, ease of use, and time needed for data collection. RootScan permits phenotypic scoring of physiologically and agronomically important traits on a large number of genotypes.

Original languageEnglish (US)
Pages (from-to)189-203
Number of pages15
JournalPlant and Soil
Volume357
Issue number1
DOIs
StatePublished - Aug 2012

All Science Journal Classification (ASJC) codes

  • Soil Science
  • Plant Science

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