Cargando…
A robust and efficient automatic method to segment maize FASGA stained stem cross section images to accurately quantify histological profile
BACKGROUND: Grasses internodes are made of distinct tissues such as vascular bundles, epidermis, rind and pith. The histology of grasses stem was largely revisited recently taking advantage of the development of microscopy combined with the development of computer-automated image analysis workflows....
Autores principales: | Lopez-Marnet, P.-L., Guillaume, S., Méchin, V., Reymond, M. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9694518/ https://www.ncbi.nlm.nih.gov/pubmed/36424625 http://dx.doi.org/10.1186/s13007-022-00957-0 |
Ejemplares similares
-
Histological quantification of maize stem sections from FASGA-stained images
por: Legland, David, et al.
Publicado: (2017) -
High throughput accurate method for estimating in vitro dry matter digestibility of maize silage
por: Lopez-Marnet, P.-L., et al.
Publicado: (2021) -
Responses of Maize Internode to Water Deficit Are Different at the Biochemical and Histological Levels
por: El Hage, Fadi, et al.
Publicado: (2021) -
High-efficiency procedure to characterize, segment, and quantify complex multicellularity in raw micrographs in plants
por: Zhang, Xi, et al.
Publicado: (2020) -
Accurate and Robust Alignment of Differently Stained Histologic Images Based on Greedy Diffeomorphic Registration
por: Venet, Ludovic, et al.
Publicado: (2021)