KnotResolver: tracking self-intersecting filaments in microscopy using directed graphs.

ABSTRACT:

Motivation

Quantification of microscopy time series of in vitro reconstituted motor-driven microtubule transport in "gliding assays" is typically performed using computational object tracking tools. However, these are limited to non-intersecting and rod-like filaments.

Results

Here, we describe a novel computational image-analysis pipeline, KnotResolver, to track image time series of highly curved self-intersecting looped filaments (knots) by resolving cross-overs. The code integrates filament segmentation and cross-over or "knot" identification based on directed graph representation, where nodes represent cross-overs and edges represent the path connecting them. The graphs are mapped back to contours and the distance to a reference minimized. The accuracy of contour detecti

SUBMITTER: Khatri D 

PROVIDER: S-EPMC11483626 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature