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Optimized localization-analysis for single-molecule tracking and super-resolution microscopy

We optimally localize isolated fluorescent beads and molecules imaged as diffraction-limited spots, determine the orientation of molecules, and present reliable formulae for the precisions of various localization methods. For beads, theory and experimental data both show that unweighted least-square...

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Detalles Bibliográficos
Autores principales: Mortensen, Kim I., Churchman, L. Stirling, Spudich, James A., Flyvbjerg, Henrik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3127582/
https://www.ncbi.nlm.nih.gov/pubmed/20364147
http://dx.doi.org/10.1038/nmeth.1447
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author Mortensen, Kim I.
Churchman, L. Stirling
Spudich, James A.
Flyvbjerg, Henrik
author_facet Mortensen, Kim I.
Churchman, L. Stirling
Spudich, James A.
Flyvbjerg, Henrik
author_sort Mortensen, Kim I.
collection PubMed
description We optimally localize isolated fluorescent beads and molecules imaged as diffraction-limited spots, determine the orientation of molecules, and present reliable formulae for the precisions of various localization methods. For beads, theory and experimental data both show that unweighted least-squares fitting of a Gaussian squanders one third of the available information, a popular formula for its precision exaggerates beyond Fisher's information limit, and weighted least-squares may do worse, while maximum likelihood fitting is practically optimal.
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spelling pubmed-31275822011-06-30 Optimized localization-analysis for single-molecule tracking and super-resolution microscopy Mortensen, Kim I. Churchman, L. Stirling Spudich, James A. Flyvbjerg, Henrik Nat Methods Article We optimally localize isolated fluorescent beads and molecules imaged as diffraction-limited spots, determine the orientation of molecules, and present reliable formulae for the precisions of various localization methods. For beads, theory and experimental data both show that unweighted least-squares fitting of a Gaussian squanders one third of the available information, a popular formula for its precision exaggerates beyond Fisher's information limit, and weighted least-squares may do worse, while maximum likelihood fitting is practically optimal. 2010-04-04 2010-05 /pmc/articles/PMC3127582/ /pubmed/20364147 http://dx.doi.org/10.1038/nmeth.1447 Text en Users may view, print, copy, download and text and data- mine the content in such documents, for the purposes of academic research, subject always to the full Conditions of use: http://www.nature.com/authors/editorial_policies/license.html#terms
spellingShingle Article
Mortensen, Kim I.
Churchman, L. Stirling
Spudich, James A.
Flyvbjerg, Henrik
Optimized localization-analysis for single-molecule tracking and super-resolution microscopy
title Optimized localization-analysis for single-molecule tracking and super-resolution microscopy
title_full Optimized localization-analysis for single-molecule tracking and super-resolution microscopy
title_fullStr Optimized localization-analysis for single-molecule tracking and super-resolution microscopy
title_full_unstemmed Optimized localization-analysis for single-molecule tracking and super-resolution microscopy
title_short Optimized localization-analysis for single-molecule tracking and super-resolution microscopy
title_sort optimized localization-analysis for single-molecule tracking and super-resolution microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3127582/
https://www.ncbi.nlm.nih.gov/pubmed/20364147
http://dx.doi.org/10.1038/nmeth.1447
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