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leafprocessor : a new leaf phenotyping tool using contour bending energy and shape cluster analysis
Author(s) -
Backhaus Andreas,
Kuwabara Asuka,
Bauch Marion,
Monk Nick,
Sanguinetti Guido,
Fleming Andrew
Publication year - 2010
Publication title -
new phytologist
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 3.742
H-Index - 244
eISSN - 1469-8137
pISSN - 0028-646X
DOI - 10.1111/j.1469-8137.2010.03266.x
Subject(s) - shape analysis (program analysis) , principal component analysis , identification (biology) , biological system , landmark , morphometrics , biology , computer science , artificial intelligence , botany , static analysis , ecology
Summary• Significant progress has been made in the identification of the genetic factors controlling leaf shape. However, no integrated solution for the quantification and categorization of leaf form has been developed. In particular, the analysis of local changes in margin growth, which define many of the differences in shape, remains problematical. • Here, we report on a software package ( leafprocessor ) which provides a semi‐automatic and landmark‐free method for the analysis of a range of leaf‐shape parameters, combining both single metrics and principal component analysis. In particular, we explore the use of bending energy as a tool for the analysis of global and local leaf perimeter deformation. • As a test case for the implementation of the leafprocessor program, we show that this integrated analysis leads to deeper insights into the morphogenic changes underpinning a series of previously identified Arabidopsis leaf‐shape mutants. Our analysis reveals that many of these mutants which, at first sight, show similar leaf morphology, can be distinguished via our shape analysis. • The leafprocessor program provides a novel integrated tool for the analysis of leaf shape.