Share Email Print
cover

Proceedings Paper

A state space based approach to localizing single molecules from multi-emitter images
Author(s): Milad R. Vahid; Jerry Chao; E. Sally Ward; Raimund J. Ober
Format Member Price Non-Member Price
PDF $14.40 $18.00

Paper Abstract

Single molecule super-resolution microscopy is a powerful tool that enables imaging at sub-diffraction-limit resolution. In this technique, subsets of stochastically photoactivated fluorophores are imaged over a sequence of frames and accurately localized, and the estimated locations are used to construct a high-resolution image of the cellular structures labeled by the fluorophores. Available localization methods typically first determine the regions of the image that contain emitting fluorophores through a process referred to as detection. Then, the locations of the fluorophores are estimated accurately in an estimation step. We propose a novel localization method which combines the detection and estimation steps. The method models the given image as the frequency response of a multi-order system obtained with a balanced state space realization algorithm based on the singular value decomposition of a Hankel matrix, and determines the locations of intensity peaks in the image as the pole locations of the resulting system. The locations of the most significant peaks correspond to the locations of single molecules in the original image. Although the accuracy of the location estimates is reasonably good, we demonstrate that, by using the estimates as the initial conditions for a maximum likelihood estimator, refined estimates can be obtained that have a standard deviation close to the Cramér-Rao lower bound-based limit of accuracy. We validate our method using both simulated and experimental multi-emitter images.

Paper Details

Date Published: 17 February 2017
PDF: 17 pages
Proc. SPIE 10070, Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIV, 100700J (17 February 2017); doi: 10.1117/12.2253175
Show Author Affiliations
Milad R. Vahid, Texas A&M Univ. (United States)
Jerry Chao, Texas A&M Univ. (United States)
E. Sally Ward, Texas A&M Univ. (United States)
Raimund J. Ober, Texas A&M Univ. (United States)


Published in SPIE Proceedings Vol. 10070:
Three-Dimensional and Multidimensional Microscopy: Image Acquisition and Processing XXIV
Thomas G. Brown; Carol J. Cogswell; Tony Wilson, Editor(s)

© SPIE. Terms of Use
Back to Top