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

Krull, Alexander; Steinborn, André; Ananthanarayanan, Vaishnavi; Ramunno-Johnson, Damien; Petersohn, Uwe; Tolić-Nørrelykke, Iva M. (2014) A divide and conquer strategy for the maximum likelihood localization of low intensity objects. Optics Express, 22 (1). pp. 210-228. ISSN 1094-4087

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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.

Item Type: Article
Additional Information: © 2014 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited.
Uncontrolled Keywords: Algorithms; Image analysis; Low light level; Microscopy; Fluorescence microscopy
Subjects: NATURAL SCIENCES > Physics > Biophysics and Medical Physics
NATURAL SCIENCES > Biology > Biochemistry and Molecular Biology
Divisions: Division of Molecular Biology
Depositing User: Patrik Risteski
Date Deposited: 22 Oct 2015 14:00
DOI: 10.1364/OE.22.000210

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