基于压缩感知的荧光显微多光谱成像

王金成; 匡翠方; 王轶凡; 刘旭

doi:doi:10.3788/cjl201340.1204003

中国激光, 2013, 40 (12): 1204003, 网络出版: 2013-11-19

基于压缩感知的荧光显微多光谱成像下载： 521次

Multispectral Fluorescence Microscopic Imaging Based on Compressive Sensing

论文大纲

王金成 ^*匡翠方王轶凡刘旭

作者单位

浙江大学现代光学仪器国家重点实验室, 浙江杭州 310027

显微光谱成像压缩感知强度归一化 microscopy spectral imaging compressive sensing intensity normalization

摘要

将压缩感知(CS)理论应用于荧光显微成像，设计搭建了一套新型的显微成像系统。使用液晶光阀实现待测图像到随机光斑的线性投影，以单点探测进行荧光信号采集，结合CS信号重构理论得到样品图像。采样数远低于Nyquist-Shannon定理要求的次数，成像过程无需扫描，系统结构简单。相对于传统的更换滤光片和光栅扫描成像的光谱成像模式，该系统仅需使用光谱仪采集信号、对光谱分波段计算即可得到荧光样品的多光谱图像。荧光显微成像过程中存在荧光衰减的影响，实验中对数据进行强度归一化预处理，结果表明该处理方法有效消除了荧光衰减对图像重构的影响。

Abstract

Compressive sensing (CS) theory is used in fluorescence microscopy imaging and a new microscopic imaging system is designed and implemented. A liquid crystal light valve is employed to calculate the linear projection of an image onto pseudorandom patterns. Fluorescence is collected on a point detector. Images of the samples are acquired combined with the reconstruction theory of CS. The number of samples is smaller than that imposed by the Nyquist-Shannon theorem. The system hardware is simple as scanning is unnecessary during the imaging process. Compared with the traditional spectral imaging modalities, such as using optical filter and raster scanning, this system only needs a spectrometer to acquire signal and then multispectral images are reconstructed from measurements corresponding to a set of sub-bands. As the fluorescence microscopy imaging suffers fluorescence decay during imaging process, in this experiment, data preprocessing such as intensity normalization is applied and the results indicate that the influence of fluorescence decay on reconstruction is eliminated effectively with this processing method.

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王金成, 匡翠方, 王轶凡, 刘旭. 基于压缩感知的荧光显微多光谱成像[J]. 中国激光, 2013, 40(12): 1204003. Wang Jincheng, Kuang Cuifang, Wang Yifan, Liu Xu. Multispectral Fluorescence Microscopic Imaging Based on Compressive Sensing[J]. Chinese Journal of Lasers, 2013, 40(12): 1204003.

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