Accurate segmentation of intracellular organelle networks using low-level features and topological self-similarity.

ABSTRACT:

Motivation

Intracellular organelle networks (IONs) such as the endoplasmic reticulum (ER) network and the mitochondrial (MITO) network serve crucial physiological functions. The morphology of these networks plays a critical role in mediating their functions. Accurate image segmentation is required for analyzing the morphology and topology of these networks for applications such as molecular mechanism analysis and drug target screening. So far, however, progress has been hindered by their structural complexity and density.

Results

In this study, we first establish a rigorous performance baseline for accurate segmentation of these organelle networks from fluorescence microscopy images by optimizing a baseline U-Net model. We then develop the multi-resolution encoder (MRE) and

SUBMITTER: Huang J 

PROVIDER: S-EPMC11467052 | biostudies-literature | 2024 Oct

REPOSITORIES: biostudies-literature