共 9 条
Stochastic transfer function for structured illumination microscopy
被引:13
作者:

Somekh, Michael G.
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机构:
Univ Nottingham, Inst Biophys Imaging & Opt Sci, Nottingham NG7 2RD, England Univ Nottingham, Inst Biophys Imaging & Opt Sci, Nottingham NG7 2RD, England

Hsu, Ken
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机构:
Univ Nottingham, Inst Biophys Imaging & Opt Sci, Nottingham NG7 2RD, England Univ Nottingham, Inst Biophys Imaging & Opt Sci, Nottingham NG7 2RD, England

Pitter, Mark C.
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机构:
Univ Nottingham, Inst Biophys Imaging & Opt Sci, Nottingham NG7 2RD, England Univ Nottingham, Inst Biophys Imaging & Opt Sci, Nottingham NG7 2RD, England
机构:
[1] Univ Nottingham, Inst Biophys Imaging & Opt Sci, Nottingham NG7 2RD, England
关键词:
RESOLUTION LIMIT;
SUPERRESOLUTION;
D O I:
10.1364/JOSAA.26.001630
中图分类号:
O43 [光学];
学科分类号:
070207 ;
0803 ;
摘要:
The stochastic transfer function extends the concept of the conventional transfer function by incorporating noise statistics, thus giving a measure of the signal-to-noise ratio at each spatial frequency. This provides a convenient and standardized metric to assess the trade-off in terms of spatial frequency bandwidth and signal-to-noise ratio for a diverse range of resolution enhancement techniques. We apply this concept to structured illumination microscopy and compare its noise performance as a function of frequency with the conventional wide-field fluorescent microscope. The result suggests how a hybrid algorithm further improves the photon efficiency of the structured illumination technique. (C) 2009 Optical Society of America
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页码:1630 / 1637
页数:8
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