A computationally-efficient bound for the variance of measuring the orientation of single molecules

Tingting Wu, Tianben Ding, Hesam Mazidi, Oumeng Zhang, Matthew D. Lew

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Modulating the polarization of excitation light, resolving the polarization of emitted fluorescence, and point spread function (PSF) engineering have been widely leveraged for measuring the orientation of single molecules. Typically, the performance of these techniques is optimized and quantified using the Cramér-Rao bound (CRB), which describes the best possible measurement variance of an unbiased estimator. However, CRB is a local measure and requires exhaustive sampling across the measurement space to fully characterize measurement precision. We develop a global variance upper bound (VUB) for fast quantification and comparison of orientation measurement techniques. Our VUB tightly bounds the diagonal elements of the CRB matrix from above; VUB overestimates the mean CRB by ∼34%. However, compared to directly calculating the mean CRB over orientation space, we are able to calculate VUB ∼1000 times faster.

Original languageEnglish
Title of host publicationSingle Molecule Spectroscopy and Superresolution Imaging XIII
EditorsIngo Gregor, Felix Koberling, Rainer Erdmann
PublisherSPIE
ISBN (Electronic)9781510632554
DOIs
StatePublished - 2020
EventSingle Molecule Spectroscopy and Superresolution Imaging XIII 2020 - San Francisco, United States
Duration: Feb 1 2020Feb 2 2020

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume11246
ISSN (Print)1605-7422

Conference

ConferenceSingle Molecule Spectroscopy and Superresolution Imaging XIII 2020
Country/TerritoryUnited States
CitySan Francisco
Period02/1/2002/2/20

Keywords

  • Cramér-Rao bound
  • Orientation estimation precision
  • Variance upper bound

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