基于空间高斯滤波的超分辨光学波动成像算法

李蕊; 屈惠明; 张运海; 姜杉

doi:doi:10.3788/lop53.081001

激光与光电子学进展, 2016, 53 (8): 081001, 网络出版: 2016-08-11

基于空间高斯滤波的超分辨光学波动成像算法下载： 761次

Super-Resolution Optical Fluctuation Imaging Algorithm Based on Spatial Gaussian Filter

论文大纲

李蕊 ^1,*屈惠明 ¹张运海 ²姜杉 ²

作者单位

¹ 南京理工大学电子工程与光电技术学院, 江苏南京 210049

² 中国科学院苏州生物医学工程技术研究所江苏省医用光学重点实验室, 江苏苏州 215163

图像处理超分辨光学波动滤波去噪 image processing super-resolution optical fluctuation filtering denoising

AI 词云图 AI一句话精读 AI短摘要

注：本部分内容由 AI 自动生成，请您知悉。

摘要

为了提高超分辨光学波动成像(SOFI)显微技术的实时性，提出了一种结合图像滤波的SOFI算法。对获取的多帧图像先进行滤波处理，再根据多帧图像中荧光粒子的时间自相关性进行SOFI算法处理，可快速得到高信噪比的超分辨图像。结果表明，对比不同滤波器，权衡去噪效果和图像分辨率，利用基于空间高斯滤波的SOFI算法可以在低信噪比的图像序列中快速得到信噪比较高的超分辨图像，计算速度提高2.3倍。

Abstract

In order to achieve real-time imaging with superresolution optical fluctuation imaging (SOFI), a novel SOFI algorithm combined with image filtering is proposed. Muti-frame images should be filtering processing, and the super-resolution images with high signal-noise ratio are obtained utilizing SOFI algorithm depending on temporal self correlations of fluorescent particles in muti-frame images. The result show that the SOFI algorithm based on spatial Gaussian filter can get a high signal-noise ratio super-resolution image from the low signal-noise ratio image sequences, and the calculating speed can be accelerated to 2.3 times, comparing different filters, weighing denoising effect and image resolution.

参考文献

[1] 毛峥乐, 王琛, 程亚. 超分辨远场生物荧光成像-突破光学衍射极限[J]. 中国激光, 2008, 35(9): 1283-1307.

Mao Zhengle, Wang Chen, Cheng Ya. Superresolution far-fieldfluorescence bio-imaging: Breaking the diffraction barrier[J]. Chinese J Lasers, 2008, 35(9): 1283-1307.

[2] Hao X, Kuang C, Gu Z, et al. From microscopy to nanoscopy via visible light[J]. Light: Science & Applications, 2013, 2(10): e108.

[3] 全廷伟, 曾绍群, 吕晓华. 超分辨成像中荧光分子定位算法性能比较[J]. 中国激光, 2010, 37(11): 2714-2718.

Quan Tingwei, Zeng Shaoqun, Lü Xiaohua. Comparison of algorithms for localization of single fluorescent molecule in super resolution imaging[J]. Chinese J Lasers, 2010, 37(11): 2714-2718.

[4] 蔡欢庆, 匡翠方, 王轶凡, 等. 基于宽场随机荧光漂白的超分辨显微方法[J]. 中国激光, 2013, 40(11): 111001.

Cai Huanqing, Kuang Cuifang, Wang Yifan, et al. Superresolution microscopy imaging based on wide-field stochastic fluorescent bleaching[J]. Chinese J Lasers, 2013, 40(11): 111001.

[5] Schermelleh L, Heintzmann R, Leonhardt H. A guide to super-resolution fluorescence microscopy[J]. The Journal of Cell Biology, 2010, 190(2): 165-175.

[6] Eggeling C, Willig K I, Sahl S J, et al. Lens-based fluorescence nanoscopy[J]. Quarterly Reviews of Biophysics, 2015, 48(02): 178-243.

[7] 吴美瑞, 杨西斌, 熊大曦, 等. 结构光照明荧光显微镜突破衍射极限的原理和在生命科学中的应用[J]. 激光与光电子学进展, 2015, 52(1): 010003.

Wu Meirui, Yang Xibin, Xiong Daxi, et al. Structured illumination fluorescence microscopy: Diffraction-limit breaking principle and application in life science[J]. Lasers & Optoelectronics Process, 2015, 52(1): 010003.

[8] Dertinger T, Colyer R, Iyer G, et al. Fast, background-free, 3D super-resolution optical fluctuation imaging (SOFI)[J]. Proceedings of the National Academy of Sciences, 2009, 106(52): 22287-22292.

[9] Dertinger T, Pallaoro A, Braun G, et al. Advances in superresolution optical fluctuation imaging (SOFI)[J]. Quarterly Reviews of Biophysics, 2013, 46(2): 210-221.

[10] Zeng Z, Chen X, Wang H, et al. Fast super-resolution imaging with ultra-high labeling density achieved by joint tagging super-resolution optical fluctuation imaging[J]. Scientific Reports, 2015, 5.

[11] Chen X, Zeng Z, Wang H, et al. Three-dimensional multimodal sub-diffraction imaging with spinning-disk confocal microscopy using blinking/fluctuating probes[J]. Nano Research, 2015, 8(7): 2251-2260.

[12] Stein S C, Huss A, Hhnel D, et al. Fourier interpolation stochastic optical fluctuation imaging[J]. Optics Express, 2015, 23(12): 16154-16163.

[13] Dertinger T, Colyer R, Vogel R, et al. Achieving increased resolution and more pixels with super resolution optical fluctuation imaging (SOFI)[J]. Optics Express, 2010, 18(18): 18875-18885.

[14] Jiang S, Zhang Y, Yang H, et al. Enhanced SOFI algorithm achieved with modified optical fluctuating signal extraction[J]. Optics Express, 2016, 24(3): 3037-3045.

李蕊, 屈惠明, 张运海, 姜杉. 基于空间高斯滤波的超分辨光学波动成像算法[J]. 激光与光电子学进展, 2016, 53(8): 081001. Li Rui, Qu Huiming, Zhang Yunhai, Jiang Shan. Super-Resolution Optical Fluctuation Imaging Algorithm Based on Spatial Gaussian Filter[J]. Laser & Optoelectronics Progress, 2016, 53(8): 081001.

基于空间高斯滤波的超分辨光学波动成像算法下载： 761次

关于本站 Cookie 的使用提示

全站搜索

基于空间高斯滤波的超分辨光学波动成像算法 下载： 761次

相关论文

相关资讯

关于本站 Cookie 的使用提示

全站搜索

基于空间高斯滤波的超分辨光学波动成像算法下载： 761次