光学
分辨率(逻辑)
计算机科学
平方根
图像分辨率
高斯分布
数据采集
时间分辨率
均方根
显微镜
噪音(视频)
物理
计算机视觉
人工智能
图像(数学)
数学
量子力学
操作系统
几何学
作者
Guangyuan Zhao,Cheng Zheng,Cuifang Kuang,Xu Liu
出处
期刊:Optics Letters
[Optica Publishing Group]
日期:2017-09-26
卷期号:42 (19): 3956-3956
被引量:16
摘要
By analyzing the statistics of the temporal fluctuations from the blinking emitters, super-resolution fluctuation imaging (SOFI) achieves super-resolution while imposing fewer constraints on the blinking behavior of the probes and is more suitable for low signal-to-noise ratio acquisition than localization methods. However, determined by the square root of cumulation orders, the resolution improvement of SOFI highly restricts its promotion into high-resolution observations. In this Letter, abandoning the default flat illumination in stochastic imaging methods, we introduce structured illumination (SI) (e.g., Gaussian or sinusoidal pattern) into SOFI (SI-SOFI) to render greatly enhanced resolution. Through simulation with parameters of both real acquisition procedures and microscope properties, we examine the feasibility of SI-SOFI and obtain a resolution improvement of four-six folds at just second-order cumulation compared to wide-field imaging. In addition, a practical pathway for the SI-SOFI reconstruction is offered.
科研通智能强力驱动
Strongly Powered by AbleSci AI