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Journal Article

Precision single-particle localization using radial variance transform

MPS-Authors
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Kashkanova,  Anna D.
Sandoghdar Division, Max Planck Institute for the Science of Light, Max Planck Society;

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Shkarin,  Alexey
Sandoghdar Division, Max Planck Institute for the Science of Light, Max Planck Society;

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Gholami Mahmoodabadi,  Reza
Sandoghdar Division, Max Planck Institute for the Science of Light, Max Planck Society;

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Blessing,  Martin
Sandoghdar Division, Max Planck Institute for the Science of Light, Max Planck Society;

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Tuna,  Yazgan
Sandoghdar Division, Max Planck Institute for the Science of Light, Max Planck Society;

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Gemeinhardt,  André
Sandoghdar Division, Max Planck Institute for the Science of Light, Max Planck Society;

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Sandoghdar,  Vahid
Sandoghdar Division, Max Planck Institute for the Science of Light, Max Planck Society;
Sandoghdar Division, Max-Planck-Zentrum für Physik und Medizin, Max Planck Institute for the Science of Light, Max Planck Society;

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Citation

Kashkanova, A. D., Shkarin, A., Gholami Mahmoodabadi, R., Blessing, M., Tuna, Y., Gemeinhardt, A., et al. (2021). Precision single-particle localization using radial variance transform. Optics Express, 29, 11070-11083. doi:10.1364/OE.420670.


Cite as: https://hdl.handle.net/21.11116/0000-0008-18C4-0
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.