摘要
为了提高超分辨率光涨落成像(SOFI)的速度,结合改进的超分辨率光涨落成像算法和光片荧光显微镜,加入两个小波滤波器分别在时间和空间上消除低频背景噪声和原始图像读出噪声,结果成功将SOFI所需的图像数量降低。对50张量子点和斑马鱼的成像图片进行处理,研究表明引入改进的SOFI算法可以在不改变光路结构情况下将光片荧光显微镜的横向分辨率提高两倍,该方法可以扩展到活体的生物研究,突破物镜数值孔径对光片显微镜的限制。
In order to improve the speed of super-resolution optical fluctuation imaging（SOFI） method, a modified SOFI algorithm is combined with light sheet fluorescence microscopy （LSFM）. Two wavelet-based filters are utilized separately in the temporal and spatial domains to eliminate the low-frequency background noise and readout noise of the raw image, which successfully reduces the image amount that SOFI needs. And it is used to process 50 frames of raw images of quantum dot and zebrafish, respectively. The result shows that introducing improved SOFI algorithm can improve the lateral resolution of a LSFM two times without changing the optical structure, which can be expanded to the biological research of living samples and overcome the limitations of numerical aperture of objective lens for LSFM.
出处
《中国激光》
EI
CAS
CSCD
北大核心
2017年第6期268-273,共6页
Chinese Journal of Lasers
基金
国家自然科学基金(11274327
61521093
61527821)
中国科学院仪器开发项目(YZ201538
QYZDB-SSWJSC002)
中国科学院战略优先研究计划(XDB16)
关键词
生物光学
光片荧光显微镜
超分辨率光涨落成像算法
横向分辨率
斑马鱼
biotechnology
light sheet fluorescence microscopy
super-resolution optical fluctuation imaging algorithm
lateral resolution
zebrafish
