Digitally deconstructing leaves in 3D using X‐ray microcomputed tomography and machine learning

Digitally deconstructing leaves in 3D using X‐ray microcomputed tomography and machine learning

Premise X‐ray microcomputed tomography (microCT) can be used to measure 3D leaf internal anatomy, providing a holistic view of tissue organization. Previously, the substantial time needed for segmenting multiple tissues limited this technique to small data sets, restricting its utility for phenotypi...

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Bibliographic Details
Main Authors: Guillaume Théroux‐Rancourt, Matthew R. Jenkins, Craig R. Brodersen, Andrew McElrone, Elisabeth J. Forrestel, J. Mason Earles
Format: Article
Language:English
Published: Wiley 2020-07-01
Series:Applications in Plant Sciences
Subjects:
image segmentation
microCT
plant leaf internal anatomy
plant phenotyping
random forest classification
Online Access:https://doi.org/10.1002/aps3.11380

Internet

https://doi.org/10.1002/aps3.11380

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