The role of photon statistics in fluorescence anisotropy imaging

被引:54
作者
Lidke, KA [1 ]
Rieger, B [1 ]
Lidke, DS [1 ]
Jovin, TM [1 ]
机构
[1] Max Planck Inst Biophys Chem, Dept Mol Biol, D-37077 Gottingen, Germany
关键词
confocal microscopy; energy migration fluorescence resonance energy transfer (emFRET); enhanced green fluorescent protein (eGFP); scale selective filtering;
D O I
10.1109/TIP.2005.852458
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Anisotropy imaging can be used to image resonance energy transfer between pairs of identical fluorophores and, thus, constitutes a powerful tool for monitoring protein homo-association in living single cells. The requirement for only a single fluorophore significantly simplifies biological preparation and interpretation. We use quantitative methods for the acquisition and image processing of anisotropy data that return the expected error of the anisotropy per pixel based on photon statistics. The analysis methods include calibration procedures and allow for a balance in spatial, anisotropy, and temporal resolution. They are featured here with anisotropy images of fluorescent calibration beads and enhanced green fluorescent protein complexes in live cells.
引用
收藏
页码:1237 / 1245
页数:9
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