Share Email Print
cover

Proceedings Paper

A robust statistical estimation (RoSE) algorithm jointly recovers the 3D location and intensity of single molecules accurately and precisely
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

In single-molecule (SM) super-resolution microscopy, the complexity of a biological structure, high molecular density, and a low signal-to-background ratio (SBR) may lead to imaging artifacts without a robust localization algorithm. Moreover, engineered point spread functions (PSFs) for 3D imaging pose difficulties due to their intricate features. We develop a Robust Statistical Estimation algorithm, called RoSE, that enables joint estimation of the 3D location and photon counts of SMs accurately and precisely using various PSFs under conditions of high molecular density and low SBR.

Paper Details

Date Published: 20 February 2018
PDF: 11 pages
Proc. SPIE 10500, Single Molecule Spectroscopy and Superresolution Imaging XI, 105000E (20 February 2018); doi: 10.1117/12.2289994
Show Author Affiliations
Hesam Mazidi, 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. 10500:
Single Molecule Spectroscopy and Superresolution Imaging XI
Jörg Enderlein; Ingo Gregor; Zygmunt Karol Gryczynski; Rainer Erdmann; Felix Koberling, Editor(s)

© SPIE. Terms of Use
Back to Top