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

Guillaume Théroux-Rancourt Matthew R Jenkins Craig R Brodersen Andrew R McElrone Elisabeth J Forrestel J Mason Earles

Published in: Applications in plant sciences (2020)

Overall, this 3D segmentation and quantification pipeline can reduce one of the major barriers to using microCT imaging in high-throughput plant phenotyping.

Keyphrases

high throughput
high resolution
machine learning
deep learning
single cell
convolutional neural network
electron microscopy
artificial intelligence
dual energy
big data
computed tomography
magnetic resonance
photodynamic therapy
fluorescence imaging