Precision single-particle localization using radial variance transform

Kashkanova AD, Shkarin AB, Mahmoodabadi RG, Blessing M, Tuna Y, Gemeinhardt A, Sandoghdar V (2021)

Publication Type: Journal article

Publication year: 2021

Journal

Optics Express Optical Society of America

Book Volume: 27

Pages Range: 11070-11083

Journal Issue: 9

DOI: 10.1364/OE.420670

Abstract

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.

Authors with CRIS profile

Vahid Sandoghdar Lehrstuhl für Experimentalphysik

Involved external institutions

Max-Planck-Institut für die Physik des Lichts (MPL) / Max Planck Institute for the Science of Light DE Germany (DE)

How to cite

APA:

Kashkanova, A.D., Shkarin, A.B., Mahmoodabadi, R.G., Blessing, M., Tuna, Y., Gemeinhardt, A., & Sandoghdar, V. (2021). Precision single-particle localization using radial variance transform. Optics Express, 27(9), 11070-11083. https://doi.org/10.1364/OE.420670

MLA:

Kashkanova, Anna D., et al. "Precision single-particle localization using radial variance transform." Optics Express 27.9 (2021): 11070-11083.

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