A robust statistical estimation (RoSE) algorithm jointly recovers the 3D location and intensity of single molecules accurately and precisely

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

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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.

Original languageEnglish
Title of host publicationSingle Molecule Spectroscopy and Superresolution Imaging XI
EditorsFelix Koberling, Ingo Gregor, Jorg Enderlein, Rainer Erdmann, Zygmunt Karol Gryczynski
PublisherSPIE
ISBN (Electronic)9781510614857
DOIs
StatePublished - 2018
EventSingle Molecule Spectroscopy and Superresolution Imaging XI 2018 - San Francisco, United States
Duration: Jan 27 2018Jan 28 2018

Publication series

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume10500
ISSN (Print)1605-7422

Conference

ConferenceSingle Molecule Spectroscopy and Superresolution Imaging XI 2018
Country/TerritoryUnited States
CitySan Francisco
Period01/27/1801/28/18

Keywords

  • 3D super-resolution fluorescence microscopy
  • joint location and brightness estimation
  • joint sparsity
  • multi-dimensional reconstruction algorithm
  • single-molecule localization microscopy

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