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SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy

Single molecule localization based super-resolution fluorescence microscopy offers significantly higher spatial resolution than predicted by Abbe’s resolution limit for far field optical microscopy. Such super-resolution images are reconstructed from wide-field or total internal reflection single mo...

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Autores principales: Tang, Yunqing, Dai, Luru, Zhang, Xiaoming, Li, Junbai, Hendriks, Johnny, Fan, Xiaoming, Gruteser, Nadine, Meisenberg, Annika, Baumann, Arnd, Katranidis, Alexandros, Gensch, Thomas
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476421/
https://www.ncbi.nlm.nih.gov/pubmed/26098742
http://dx.doi.org/10.1038/srep11073
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author Tang, Yunqing
Dai, Luru
Zhang, Xiaoming
Li, Junbai
Hendriks, Johnny
Fan, Xiaoming
Gruteser, Nadine
Meisenberg, Annika
Baumann, Arnd
Katranidis, Alexandros
Gensch, Thomas
author_facet Tang, Yunqing
Dai, Luru
Zhang, Xiaoming
Li, Junbai
Hendriks, Johnny
Fan, Xiaoming
Gruteser, Nadine
Meisenberg, Annika
Baumann, Arnd
Katranidis, Alexandros
Gensch, Thomas
author_sort Tang, Yunqing
collection PubMed
description Single molecule localization based super-resolution fluorescence microscopy offers significantly higher spatial resolution than predicted by Abbe’s resolution limit for far field optical microscopy. Such super-resolution images are reconstructed from wide-field or total internal reflection single molecule fluorescence recordings. Discrimination between emission of single fluorescent molecules and background noise fluctuations remains a great challenge in current data analysis. Here we present a real-time, and robust single molecule identification and localization algorithm, SNSMIL (Shot Noise based Single Molecule Identification and Localization). This algorithm is based on the intrinsic nature of noise, i.e., its Poisson or shot noise characteristics and a new identification criterion, Q(SNSMIL), is defined. SNSMIL improves the identification accuracy of single fluorescent molecules in experimental or simulated datasets with high and inhomogeneous background. The implementation of SNSMIL relies on a graphics processing unit (GPU), making real-time analysis feasible as shown for real experimental and simulated datasets.
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spelling pubmed-44764212015-06-24 SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy Tang, Yunqing Dai, Luru Zhang, Xiaoming Li, Junbai Hendriks, Johnny Fan, Xiaoming Gruteser, Nadine Meisenberg, Annika Baumann, Arnd Katranidis, Alexandros Gensch, Thomas Sci Rep Article Single molecule localization based super-resolution fluorescence microscopy offers significantly higher spatial resolution than predicted by Abbe’s resolution limit for far field optical microscopy. Such super-resolution images are reconstructed from wide-field or total internal reflection single molecule fluorescence recordings. Discrimination between emission of single fluorescent molecules and background noise fluctuations remains a great challenge in current data analysis. Here we present a real-time, and robust single molecule identification and localization algorithm, SNSMIL (Shot Noise based Single Molecule Identification and Localization). This algorithm is based on the intrinsic nature of noise, i.e., its Poisson or shot noise characteristics and a new identification criterion, Q(SNSMIL), is defined. SNSMIL improves the identification accuracy of single fluorescent molecules in experimental or simulated datasets with high and inhomogeneous background. The implementation of SNSMIL relies on a graphics processing unit (GPU), making real-time analysis feasible as shown for real experimental and simulated datasets. Nature Publishing Group 2015-06-22 /pmc/articles/PMC4476421/ /pubmed/26098742 http://dx.doi.org/10.1038/srep11073 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/
spellingShingle Article
Tang, Yunqing
Dai, Luru
Zhang, Xiaoming
Li, Junbai
Hendriks, Johnny
Fan, Xiaoming
Gruteser, Nadine
Meisenberg, Annika
Baumann, Arnd
Katranidis, Alexandros
Gensch, Thomas
SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
title SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
title_full SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
title_fullStr SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
title_full_unstemmed SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
title_short SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
title_sort snsmil, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4476421/
https://www.ncbi.nlm.nih.gov/pubmed/26098742
http://dx.doi.org/10.1038/srep11073
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