Automated 3D segmentation of guard cells enables volumetric analysis of stomatal biomechanics

Automating the three-dimensional (3D) segmentation of stomatal guard cells and other confocal microscopy data is extremely challenging due to hardware limitations, hard-to-localize regions, and limited optical resolution. We present a memory-efficient, attention-based, one-stage segmentation neural...

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Detalles Bibliográficos
Autores principales: Davaasuren, Dolzodmaa, Chen, Yintong, Jaafar, Leila, Marshall, Rayna, Dunham, Angelica L., Anderson, Charles T., Wang, James Z.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782259/
https://www.ncbi.nlm.nih.gov/pubmed/36569557
http://dx.doi.org/10.1016/j.patter.2022.100627

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9782259/
https://www.ncbi.nlm.nih.gov/pubmed/36569557
http://dx.doi.org/10.1016/j.patter.2022.100627

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