4.7 Article

High-throughput feature counting and measurement of roots

期刊

BIOINFORMATICS
卷 27, 期 9, 页码 1337-1338

出版社

OXFORD UNIV PRESS
DOI: 10.1093/bioinformatics/btr126

关键词

-

资金

  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

向作者/读者索取更多资源

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.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.7
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据