SOFI Simulation Tool: A Software Package for Simulating and Testing Super-Resolution Optical Fluctuation Imaging

被引：36

作者：

Girsault, Arik ^{[1
]}

Lukes, Tomas ^{[1
,3
]}

Sharipov, Azat ^{[1
]}

Geissbuehler, Stefan ^{[1
]}

Leutenegger, Marcel ^{[1
,4
]}

Vandenberg, Wim ^{[2
]}

Dedecker, Peter ^{[2
]}

Hofkens, Johan ^{[2
]}

Lasser, Theo ^{[1
]}

机构：

[1] Ecole Polytech Fed Lausanne, Lab Opt Biomed, Lausanne, Switzerland

[2] Univ Leuven, Dept Chem, Celestijnenlaan, Heverlee, Belgium

[3] Czech Tech Univ, Fac Elect Engn, Dept Radioelect, Prague, Czech Republic

[4] Max Planck Inst Biophys Chem, Abt NanoBiophoton, Gottingen, Germany

来源：

PLOS ONE | 2016年 / 11卷 / 09期

基金：

瑞士国家科学基金会;

关键词：

FLUORESCENCE MICROSCOPY; STORM; RECONSTRUCTION; RESOLUTION; LIMIT;

D O I：

10.1371/journal.pone.0161602

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Super-resolution optical fluctuation imaging (SOFI) allows one to perform sub-diffraction fluorescence microscopy of living cells. By analyzing the acquired image sequence with an advanced correlation method, i.e. a high-order cross-cumulant analysis, super-resolution in all three spatial dimensions can be achieved. Here we introduce a software tool for a simple qualitative comparison of SOFI images under simulated conditions considering parameters of the microscope setup and essential properties of the biological sample. This tool incorporates SOFI and STORM algorithms, displays and describes the SOFI image processing steps in a tutorial-like fashion. Fast testing of various parameters simplifies the parameter optimization prior to experimental work. The performance of the simulation tool is demonstrated by comparing simulated results with experimentally acquired data.

引用

页数：13

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