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....

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Detalles Bibliográficos
Autores principales: Lopez-Marnet, P.-L., Guillaume, S., Méchin, V., Reymond, M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Methodology
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

Internet

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

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