Automatic 3D cell segmentation of fruit parenchyma tissue from X-ray micro CT images using deep learning

Automatic 3D cell segmentation of fruit parenchyma tissue from X-ray micro CT images using deep learning

Abstract Background High quality 3D information of the microscopic plant tissue morphology—the spatial organization of cells and intercellular spaces in tissues—helps in understanding physiological processes in a wide variety of plants and tissues. X-ray micro-CT is a valuable tool that is becoming...

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Bibliographic Details
Main Authors: Leen Van Doorselaer, Pieter Verboven, Bart Nicolai
Format: Article
Language:English
Published: BMC 2024-01-01
Series:Plant Methods
Subjects:
Plant microstructure
Fruit physiology
X-ray micro-computed tomography
Contrast-enhanced imaging
Image processing
Artificial intelligence
Online Access:https://doi.org/10.1186/s13007-024-01137-y

Internet

https://doi.org/10.1186/s13007-024-01137-y

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