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The plant endoplasmic reticulum forms a network of tubules connected by three-way junctions or sheet-like cisternae. Although the network is three-dimensional, in many plant cells, it is constrained to thin volume sandwiched between the vacuole and plasma membrane, effectively restricting it to a 2-D planar network. The structure of the network, and the morphology of the tubules and cisternae can be automatically extracted following intensity-independent edge-enhancement and various segmentation techniques to give an initial pixel-based skeleton, which is then converted to a graph representation. ER dynamics can be determined using optical flow techniques from computer vision or persistency analysis. Collectively, this approach yields a wealth of quantitative metrics for ER structure and can be used to describe the effects of pharmacological treatments or genetic manipulation. The software is publicly available.

Original publication

DOI

10.1007/978-1-0716-3710-4_5

Type

Journal article

Journal

Methods Mol Biol

Publication Date

2024

Volume

2772

Pages

49 - 75

Keywords

ER cisternae, Endoplasmic reticulum dynamics, Endoplasmic reticulum morphology, Lunapark, Network analysis, Persistency analysis, Phase congruency, Quantitative confocal imaging, Reticulon, Benchmarking, Cell Membrane, Endoplasmic Reticulum, Food, Plant Cells