Histological quantification of maize stem sections from FASGA-stained images.

David LeglandFadi El-HageValérie MéchinMatthieu Reymond

Published in: Plant methods (2017)

The simplicity and the availability of the software will facilitate the elucidation of the relationships between the chemical composition of the tissues and changes in plant histology. The tool is expected to be useful for the study of large genetic populations, and to better understand the impact of environmental factors on plant histology.

Keyphrases

gene expression
deep learning
convolutional neural network
genome wide
optical coherence tomography
dna methylation
machine learning