Open AccessPrecision single-particle localization using radial variance transform
Author(s) -
Anna Kashkanova,
Alexey Shkarin,
Reza Gholami Mahmoodabadi,
Martin Blessing,
Yazgan Tuna,
André Gemeinhardt,
Vahid Sandoghdar
Publication year - 2021
Publication title -
optics express
Language(s) - Uncategorized
Resource type - Journals
SCImago Journal Rank - 1.394
H-Index - 271
ISSN - 1094-4087
DOI - 10.1364/oe.420670
Subject(s) - subpixel rendering , symmetry in biology , pixel , optics , interpolation (computer graphics) , image processing , artificial intelligence , physics , computer science , computer vision , image (mathematics) , mathematics , mathematical analysis
We introduce an image transform designed to highlight features with high degree of radial symmetry for identification and subpixel localization of particles in microscopy images. The transform is based on analyzing pixel value variations in radial and angular directions. We compare the subpixel localization performance of this algorithm to other common methods based on radial or mirror symmetry (such as fast radial symmetry transform, orientation alignment transform, XCorr, and quadrant interpolation), using both synthetic and experimentally obtained data. We find that in all cases it achieves the same or lower localization error, frequently reaching the theoretical limit.