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Dataset Information

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


ABSTRACT:

Background

Crop species are of increasing interest both for cattle feeding and for bioethanol production. The degradability of the plant material largely depends on the lignification of the tissues, but it also depends on histological features such as the cellular morphology or the relative amount of each tissue fraction. There is therefore a need for high-throughput phenotyping systems that quantify the histology of plant sections.

Results

We developed custom image processing and an analysis procedure for quantifying the histology of maize stem sections coloured with FASGA staining and digitalised with whole microscopy slide scanners. The procedure results in an automated segmentation of the input images into distinct tissue regions. The size and the fraction area of each t

SUBMITTER: Legland D 

PROVIDER: S-EPMC5664815 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature