Identifying and correcting pixel locking errors with the SPIFF algorithm

Yuval Yifat; Nishant Sule; Norbert F. Scherer

doi:10.1117/12.2291267

20 February 2018 Identifying and correcting pixel locking errors with the SPIFF algorithm

Yuval Yifat, Nishant Sule, Norbert F. Scherer

Proceedings Volume 10500, Single Molecule Spectroscopy and Superresolution Imaging XI; 105000N (2018) https://doi.org/10.1117/12.2291267
Event: SPIE BiOS, 2018, San Francisco, California, United States

Abstract

Particle tracking is an important tool in a wide range of experimental fields in which optical imaging systems are used. Unfortunately, tracking algorithms are susceptible to pixel-locking when a tracked object occupies a small number of pixels on the detector or is near other particles, in which the particle localization is biased towards the pixel center. In this proceedings paper we demonstrate this effect and show how these errors can be ameliorated using the Single Pixel Interior Fill Function (SPIFF) algorithm, improving the fidelity of any metrics obtained from particle tracking (e.g interparticle separation). We analyze the severity of pixel bias inherent in optical systems of different magnification values and the effect that the SPIFF algorithm has on them. Our analysis demonstrates a tradeoff between the severity of the pixel locking and the signal-to-noise ratio of optical systems with different magnification.

Conference Presentation

Citation Download Citation

Yuval Yifat, Nishant Sule, and Norbert F. Scherer "Identifying and correcting pixel locking errors with the SPIFF algorithm", Proc. SPIE 10500, Single Molecule Spectroscopy and Superresolution Imaging XI, 105000N (20 February 2018); https://doi.org/10.1117/12.2291267

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