4.7 Article

High-throughput feature counting and measurement of roots

Journal

BIOINFORMATICS
Volume 27, Issue 9, Pages 1337-1338

Publisher

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr126

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Funding

  1. Engineering and Physical Sciences Research Council
  2. Biotechnology and Biological Sciences Research Council
  3. Centres for Integrative Systems
  4. BBSRC [BB/D019613/1] Funding Source: UKRI
  5. Biotechnology and Biological Sciences Research Council [BB/D019613/1] Funding Source: researchfish

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The original RootTrace tool has proved successful in measuring primary root lengths across time series image data. Biologists have shown interest in using the tool to address further problems, namely counting lateral roots to use as parameters in screening studies, and measuring highly curved roots. To address this, the software has been extended to count emerged lateral roots, and the tracking model extended so that strongly curved and agravitropic roots can be now be recovered. Here, we describe the novel image analysis algorithms and user interface implemented within the RootTrace framework to handle such situations and evaluate the results.

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