Cargando…
MultipleXLab: A high-throughput portable live-imaging root phenotyping platform using deep learning and computer vision
BACKGROUND: Profiling the plant root architecture is vital for selecting resilient crops that can efficiently take up water and nutrients. The high-performance imaging tools available to study root-growth dynamics with the optimal resolution are costly and stationary. In addition, performing nondest...
Autores principales: | Lube, Vinicius, Noyan, Mehmet Alican, Przybysz, Alexander, Salama, Khaled, Blilou, Ikram |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8958799/ https://www.ncbi.nlm.nih.gov/pubmed/35346267 http://dx.doi.org/10.1186/s13007-022-00864-4 |
Ejemplares similares
-
Development of a phenotyping platform for high throughput screening of nodal root angle in sorghum
por: Joshi, Dinesh C., et al.
Publicado: (2017) -
Root Hair Sizer: an algorithm for high throughput recovery of different root hair and root developmental parameters
por: Guichard, Marjorie, et al.
Publicado: (2019) -
High-throughput phenotyping of seminal root traits in wheat
por: Richard, Cecile AI, et al.
Publicado: (2015) -
Computer vision and machine learning enabled soybean root phenotyping pipeline
por: Falk, Kevin G., et al.
Publicado: (2020) -
A high-throughput seed germination assay for root parasitic plants
por: Pouvreau, Jean-Bernard, et al.
Publicado: (2013)