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题名: SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy
作者: Tang, YQ;  Dai, LR;  Zhang, XM;  Li, JB;  Hendriks, JN;  Fan, XM;  Gruteser, N;  Meisenberg, A;  Baumann, A;  Katranidis, A;  Gensch, T
刊名: SCIENTIFIC REPORTS
出版日期: 2015
卷号: 5, 期号:0, 页码:11073
学科分类: Science & Technology - Other Topics
DOI: http://dx.doi.org/10.1038/srep11073
通讯作者: Li, JB (reprint author), Natl Ctr Nanosci & Technol China, 11 Beiyitiao Zhongguancun, Beijing 100190, Peoples R China.
文章类型: Article
英文摘要: 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.
类目[WOS]: Multidisciplinary Sciences
关键词[WOS]: RESOLUTION LIMIT ;  IMAGE-ANALYSIS ;  NANOSCOPY ;  DEPLETION ;  SOFTWARE ;  TRACKING ;  REVEALS ;  SYSTEMS ;  ACTIN ;  STORM
收录类别: SCI
项目资助者: National Natural Science Foundation of China [21273053, 21433010, 21320102004] ;  Instrument Developing Project of the Chinese Academy of Sciences [YZ201417] ;  China Scholarship Council
语种: 英语
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/20957
Appears in Collections:理论物理所2015年知识产出_期刊论文

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Recommended Citation:
Tang, YQ,Dai, LR,Zhang, XM,et al. SNSMIL, a real-time single molecule identification and localization algorithm for super-resolution fluorescence microscopy[J]. SCIENTIFIC REPORTS,2015,5(0):11073.
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