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...
Main Authors: | Leen Van Doorselaer, Pieter Verboven, Bart Nicolai |
---|---|
Format: | Article |
Language: | English |
Published: |
BMC
2024-01-01
|
Series: | Plant Methods |
Subjects: | |
Online Access: | https://doi.org/10.1186/s13007-024-01137-y |
Similar Items
-
Contrast-enhanced 3D micro-CT of plant tissues using different impregnation techniques
by: Zi Wang, et al.
Published: (2017-11-01) -
X-ray Single Exposure Imaging and Image Processing of Objects with High Absorption Ratio
by: Yanxiu Liu, et al.
Published: (2023-02-01) -
Improvement Procedure for Image Segmentation of Fruits and Vegetables Based on the Otsu Method
by: Osbaldo Vite-Chávez, et al.
Published: (2023-10-01) -
X-ray Image Enhancement Based on Adaptive Gradient Domain Guided Image Filtering
by: Liangliang Li, et al.
Published: (2022-10-01) -
A Shack-Hartmann Sensor for Single-Shot Multi-Contrast Imaging with Hard X-rays
by: Tomy dos Santos Rolo, et al.
Published: (2018-05-01)