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Virtual Journal for Biomedical Optics

Virtual Journal for Biomedical Optics

| EXPLORING THE INTERFACE OF LIGHT AND BIOMEDICINE

  • Editors: Andrew Dunn and Anthony Durkin
  • Vol. 9, Iss. 3 — Mar. 6, 2014

A divide and conquer strategy for the maximum likelihood localization of low intensity objects

Alexander Krull, André Steinborn, Vaishnavi Ananthanarayanan, Damien Ramunno-Johnson, Uwe Petersohn, and Iva M. Tolić-Nørrelykke  »View Author Affiliations


Optics Express, Vol. 22, Issue 1, pp. 210-228 (2014)
http://dx.doi.org/10.1364/OE.22.000210


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Abstract

In cell biology and other fields the automatic accurate localization of sub-resolution objects in images is an important tool. The signal is often corrupted by multiple forms of noise, including excess noise resulting from the amplification by an electron multiplying charge-coupled device (EMCCD). Here we present our novel Nested Maximum Likelihood Algorithm (NMLA), which solves the problem of localizing multiple overlapping emitters in a setting affected by excess noise, by repeatedly solving the task of independent localization for single emitters in an excess noise-free system. NMLA dramatically improves scalability and robustness, when compared to a general purpose optimization technique. Our method was successfully applied for in vivo localization of fluorescent proteins.

© 2014 Optical Society of America

OCIS Codes
(040.3780) Detectors : Low light level
(100.2960) Image processing : Image analysis
(110.0180) Imaging systems : Microscopy
(170.2520) Medical optics and biotechnology : Fluorescence microscopy
(150.1135) Machine vision : Algorithms

ToC Category:
Image Processing

History
Original Manuscript: September 9, 2013
Revised Manuscript: November 15, 2013
Manuscript Accepted: November 16, 2013
Published: January 2, 2014

Virtual Issues
Vol. 9, Iss. 3 Virtual Journal for Biomedical Optics

Citation
Alexander Krull, André Steinborn, Vaishnavi Ananthanarayanan, Damien Ramunno-Johnson, Uwe Petersohn, and Iva M. Tolić-Nørrelykke, "A divide and conquer strategy for the maximum likelihood localization of low intensity objects," Opt. Express 22, 210-228 (2014)
http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=oe-22-1-210


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