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A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells.

A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells. Research Abstract Details 

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  • A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells. Abstract Text:

     michel Michel,ralf steinmeyerRalf Steinmeyer,michael falkMichael Falk,gregory s harmsGregory S Harms,

    A new algorithm is presented for the detection of single, fluorescence-labeled proteins in the analysis of images from living cells. It is especially suited for images with just a few (<1 per 10 microm2) fluorescence peaks from individual proteins with high background and noise (signal to background ratios as low as 2 and signal to noise as low as 10). The analysis uses the peaks over threshold method from extreme value theory and requires minimal assumptions on the underlying distributions. The significant advantage of the method over others is the rare occurrence to detect false positives. Some examples of simulated and real data are given as comparisons. The algorithm is implemented in MATLAB.

    A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells. Publishing Authors By Initials

    r michelR Michel,r steinmeyerR Steinmeyer,m falkM Falk,gs harmsGS Harms,

    For similar proteins research abstracts see: proteins research

    PUBMED ID PMID:

    MEDLINE DATE:

    A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells. Journal Published:

    PUBLICATION TYPE: Research Support, Non-U.S. Gov

    Journal: Microscopy research and technique

    VOLUME: 70

    Page Numbers: 763-70

    Journal Abbreviation: Microsc. Res. Tech.

    ISSN: 1059-910X

    DAY: 26

    MONTH: Sep

    YEAR: 2007

    A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells. Information

    Number of References:

    LANGUAGE: eng

    NlmUniqueID: 9203012

    A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells. Keywords Mesh Terms:

    KEYWORDS: Proteins

    MESH TERMS: analysis

    Chemical & Substance for Abstract: A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells. Information

    Substance Name: Proteins

    Registry Number: 0

    Grant and Affiliation Information for A new detection algorithm for image analysis of single, fluorescence-labeled proteins in living cells.

    AFFILIATION: Institute of Mathematics, University of Würzburg, Am Hubland, D-97074, Würzburg, Germany.

    Country: United States

    United States Research PublicationUnited States Research Publication

    AGENCY:

    GRANT:

    ACRONYM:

    MEDLINETA: Microsc Res Tech

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    ACCESSION NUMBER:

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