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          Institute: MPI für molekulare Zellbiologie und Genetik     Collection: MPI-CBG Publications 2014 (arch)     Display Documents



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ID: 705718.0, MPI für molekulare Zellbiologie und Genetik / MPI-CBG Publications 2014 (arch)
A divide and conquer strategy for the maximum likelihood localization of low intensity objects.
Authors:Krull, Alexander; Steinborn, André; Ananthanarayanan, Vaishnavi; Ramunno-Johnson, Damien; Petersohn, Uwe; Tolic-Norrelykke, Iva M.
Date of Publication (YYYY-MM-DD):2014
Title of Journal:Optics Express
Volume:22
Issue / Number:1
Start Page:210
End Page:228
Copyright:not available
Audience:Experts Only
Intended Educational Use:No
Abstract / Description: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.
External Publication Status:published
Document Type:Article
Version Comment:Automatic journal name synchronization
Communicated by:thuem
Affiliations:MPI für molekulare Zellbiologie und Genetik
Identifiers:LOCALID:5580
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