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多维时间相关单光子计数在生物医学中的应用

Wolfgang BECKER

深圳大学学报(理工版)2008,Vol.25Issue(3):221-232,12.
深圳大学学报(理工版)2008,Vol.25Issue(3):221-232,12.

多维时间相关单光子计数在生物医学中的应用

Multi-dimensional time-correlated single photon counting:a fast and efficient optical recording technique for biomedical spectroscopy

Wolfgang BECKER1

作者信息

  • 1. Becker & Hickl公司,Nahmitzer Damm 30,柏林D-12277,德国
  • 折叠

摘要

Abstract

Time-correlated single photon counting (TCSPC) is based on the detection of single photons of a periodic light signal,the measurement of the detection time of the photons,and the build-up of the photon distribution versus the time in the signal period.The limitations of classic TCSPC were low count rate,long acquisition time,and the fact that the technique was intrinsically one-dimensional.We have developed an advanced TCSPC technique featuring multi-dimensional photon acquisition and a count rate close to the capability of currently available detectors.The technique is able to acquire photon distributions versus wavelength,spatial coordinates,the time on the ps scale,and a second time counting from the start of the experiment.Multi-dimensional TCSPC achieves a near-ideal counting efficiency and a time resolution limited only by the transit-time-spread of the detector.The technique is therefore exceptionally useful for biomedical spectroscopy.Typical applications include time-domain optical tomography,recording of transient phenomena in biological systems,fluorescence lifetime imaging microscopy,FRET experiments in living cells,and the investigation of dye-protein complexes by fluorescence correlation spectroscopy.We demonstrate the potential of the technique for a number of selected applications.

关键词

时间相关单光子计数/多维探测/生物医学光谱学/荧光寿命成像显微术/荧光共振能量转移

Key words

time-correlated single photon counting/multi-dimensional detection/biomedical spectroscopy/fluorescence lifetime imaging microscopy/fluorescence resonance energy transfer

分类

信息技术与安全科学

引用本文复制引用

Wolfgang BECKER..多维时间相关单光子计数在生物医学中的应用[J].深圳大学学报(理工版),2008,25(3):221-232,12.

深圳大学学报(理工版)

OA北大核心CSTPCD

1000-2618

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