生命科学的发展不断对光学荧光显微成像技术提出挑战，针对厚生物样品的活体实时检测需求，开展基于电控变焦液态透镜的光片荧光显微三维成像研究。以透镜初始和任意变焦时的调制传递函数差值构造评价函数，建立变焦透镜动态模型，优化其像差和动态特性。建立基于变焦透镜的光片显微成像系统模型，研究变焦透镜对系统点扩散函数和放大倍率等参数影响，优化光学系统参数。提出照明光片和聚焦成像物面的匹配扫描方法，提高图像获取速度。研究轴向扫描范围、分辨率、扫描速度和信噪比相互作用机理；研究基于多分辨率分析的金字塔变换、小波变换和神经网络等的图像融合算法，解决多幅有噪图像的融合和重建。搭建最优化的基于变焦透镜的光片荧光显微三维成像系统，实现测量速度大于100Hz的毫米量级厚度生物样品活体实时检测实验。本项目测量方法和系统避免了样品轴向移动，降低了样品光损伤，为厚生物样品提供了重要的检测方法和工具，可促进生命科学的发展。

With the development of life science, the optical sectioning fluorescence micrographic imaging technique is always challenged. Aimed at the need of real-time bio-detection for thick biological samples, the research of optical sectioning fluorescence micrographic three dimensional imaging based on electrically-addressable liquid variable focus lens has been developed. Based on the merit function constructed by the modulation transfer function difference between of initial and arbitrary position, the dynamic model of variable focus lens has been established. It is used to optimize the aberration and dynamic characteristics of liquid variable focus lens. And the optical sectioning micrographic imaging system model has been established based on liquid variable focus lens. The influence of variable focus lens on point spread function and magnification has also been studied. In addition, the scanning method of matching illumination optical sheet and focused object plane has been proposed to improve the speed of capturing images. The work of studying the interaction mechanism of axial scanning range, resolution, scanning speed and signal to noise ratio has been carried out. According to multi-resolution analyzing, the image fusion algorithm such as pyramid transform, wavelet transform and neural network has been put forward to realize the fusion and construction of a stack of depth images. At the same time, the optimal three dimensional optical sectioning fluorescence micrographic imaging system based on variable focus lens has been set up. The biological sample with the millimeter scale thickness and capturing images speed of more than 100Hz could be captured in real time. The main advantage of our project is the possibility of avoiding the axial scanning and decreasing the optical damage of samples. It will provide the important detection method and tool for thick biological samples and promote the development of life science greatly.