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用荧光光子统计测量作单分子识别与分辨
引用本文:彭双艳,黄涛,王晓波,邵军虎,肖连团,贾锁堂.用荧光光子统计测量作单分子识别与分辨[J].激光与光电子学进展,2006,43(1):49-55.
作者姓名:彭双艳  黄涛  王晓波  邵军虎  肖连团  贾锁堂
作者单位:1. 山西大学物理电子工程学院,量子光学与光量子器件国家重点实验室,太原,030006;贵州毕节学院物理系,毕节,55170
2. 山西大学物理电子工程学院,量子光学与光量子器件国家重点实验室,太原,030006
基金项目:中国科学院资助项目;广东省博士启动基金;人事部留学回国人员科技活动择优基金;山西省留学回国人员科研项目
摘    要:通过荧光光子的统计测量识别和分辨单个分子,在物理、生物、化学和信息处理等领域都有着广泛的应用。从识别和分辨两个方面分析总结了两类判别单分子的方法:一类是判别单分子光子源,其判别方法有两种:一种是利用开始一停止的方法测量光激发单分子荧光光场的二阶关联函数办法来识别;另一种是基于光子记数统计测量的判别方法。另一类是对于多种分子混合时,分辨探测到的单分子是哪种荧光分子。介绍了基于光子特性相关单光子统计测量,利用概率计算分析的两种方法:最大概率法和查表法。

关 键 词:单分子  识别  分辨  相关统计测量
收稿时间:2005-05-28
修稿时间:2005-05-282005-06-13

Identifying and Distinguishing Single-molecule Based on the Fluorescence Photon Statistic Measurement
PENG Shuangyan,HUANG Tao,WANG Xiaobo,SHAO Junhu,XIAO Liantuan,JIA Suotang.Identifying and Distinguishing Single-molecule Based on the Fluorescence Photon Statistic Measurement[J].Laser & Optoelectronics Progress,2006,43(1):49-55.
Authors:PENG Shuangyan  HUANG Tao  WANG Xiaobo  SHAO Junhu  XIAO Liantuan  JIA Suotang
Affiliation:1. State Key Laboratory of Quantum Optics and Quantum Optics Device, College of Physics and Electronics Engineering,Shanxi University, Taiyuan, 030006 ;2 .Department of Physics, Bijie College, Bijie 551700
Abstract:Identifying and distinguishing single-molecule by fluorescence photon statistic measuring have been widely applied in physics, biology, chemistry and information processing et al.. Two kinds of methods of identifying and distinguishing single-molecule are analyzed and reviewed. Firstly, two identification methods to identify singlemolecule photon source are introduced: one by measuring laser stimulated single-molecule fluorescence field twoorder autocorrelation function with start-stop method, the other based on single photon counting statistic measurement. Secondly, the other kind of methods are to distinguish which species molecules the single-molecule detected belongs to when a couple of species molecules are mixed. Two methods, based on property-correlated single-photon counting statistic measurement and probability calculation and analysis, are chiefly introduced: the maximum likelihood method and the lookup table method.
Keywords:single-molecule  identification  distinguishing  correlation statistic measurement
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