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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...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
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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. |
format | Online Article Text |
id | pubmed-4476421 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
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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