Fiber finding algorithm using stepwise tracing to identify biopolymer fibers in noisy 3D images.

ABSTRACT: We present a novel fiber finding algorithm (FFA) that will permit researchers to detect and return traces of individual biopolymers. Determining the biophysical properties and structural cues of biopolymers can permit researchers to assess the progression and severity of disease. Confocal microscopy images are a useful method for observing biopolymer structures in three dimensions, but their utility for identifying individual biopolymers is impaired by noise inherent in the acquisition process, including convolution from the point spread function (PSF). The new, iterative FFA we present here 1) measures a microscope's PSF and uses it as a metric for identifying fibers against the background; 2) traces each fiber within a cone angle; and 3) blots out the identified trace before identifying

SUBMITTER: Rossen NS 

PROVIDER: S-EPMC8511358 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature