Adaptive multiorientation resolution analysis of complex filamentous network images.

ABSTRACT:

Motivation

Microscopy images of cytoskeletal, nucleoskeletal and other structures contain complex junctions of overlapping filaments with arbitrary geometry. Yet, state-of-the-art algorithms generally perform single orientation analysis to segment these structures, resulting in gaps near junctions, or assume particular junction geometries to detect them.

Results

We developed a fully automated image analysis approach to address the challenge of determining the number of orientations and their values at each point in space to detect both lines and their junctions. Our approach does not assume any fixed number of orientations or any particular geometry in the case of multiple coincident orientations. It is based on analytically resolving coincident orientations revealed by stee

SUBMITTER: Kittisopikul M 

PROVIDER: S-EPMC8453242 | biostudies-literature | 2020 Dec

REPOSITORIES: biostudies-literature