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Proceedings Paper

Measuring localization confidence for quantifying accuracy and heterogeneity in single-molecule super-resolution microscopy
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Paper Abstract

We present a computational method, termed Wasserstein-induced flux (WIF), to robustly quantify the accuracy of individual localizations within a single-molecule localization microscopy (SMLM) dataset without ground- truth knowledge of the sample. WIF relies on the observation that accurate localizations are stable with respect to an arbitrary computational perturbation. Inspired by optimal transport theory, we measure the stability of individual localizations and develop an efficient optimization algorithm to compute WIF. We demonstrate the advantage of WIF in accurately quantifying imaging artifacts in high-density reconstruction of a tubulin network. WIF represents an advance in quantifying systematic errors with unknown and complex distributions, which could improve a variety of downstream quantitative analyses that rely upon accurate and precise imaging. Furthermore, thanks to its formulation as layers of simple analytical operations, WIF can be used as a loss function for optimizing various computational imaging models and algorithms even without training data.

Paper Details

Date Published: 13 February 2020
PDF: 9 pages
Proc. SPIE 11246, Single Molecule Spectroscopy and Superresolution Imaging XIII, 1124611 (13 February 2020); doi: 10.1117/12.2545033
Show Author Affiliations
Hesam Mazidi, Washington Univ. in St. Louis (United States)
Tianben Ding, Washington Univ. in St. Louis (United States)
Arye Nehorai, Washington Univ. in St. Louis (United States)
Matthew D. Lew, Washington Univ. in St. Louis (United States)

Published in SPIE Proceedings Vol. 11246:
Single Molecule Spectroscopy and Superresolution Imaging XIII
Ingo Gregor; Felix Koberling; Rainer Erdmann, Editor(s)

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