尚光网 本站首页 本所首页 联系我们
10.3788/CJL201744.0607002CSCDAntoine J P, 2004, Two-dimensional wavelets and their relatives; Chen XZ, 2016, NANOSCALE, V8, P9982, DOI 10.1039/c6nr00324a; Chen Xuanze, 2015, [Nano Research, 纳米研究], V8, P2251, DOI 10.1007/s12274-015-0736-8; Dertinger T, 2009, Proceedings of the National Academy of Sciences of the United States of America,106(52), P22287; Dertinger T, 2012, ADV EXP MED BIOL, V733, P17, DOI 10.1007/978-94-007-2555-3_2; Gao L, 2015, OPT EXPRESS, V23, P6102, DOI 10.1364/OE.23.006102; Gao L, 2015, BIOMED OPT EXPRESS, V6, P881, DOI 10.1364/BOE.6.000881; Golub I, 2015, OPT LETT, V40, P5121, DOI 10.1364/OL.40.005121; Hein B, 2008, Proceedings of the National Academy of Sciences of the United States of America,105(38), P14271; Huisken J, 2004, SCIENCE, V305, P1007, DOI 10.1126/science.1100035; Jiang S, 2016, OPT EXPRESS, V24, P3037, DOI 10.1364/OE.24.003037; [李蕊 Li Rui], 2016, [激光与光电子学进展, Laser & Optoelectronics Progress], V53, P081001; Rust MJ, 2006, NAT METHODS, V3, P793, DOI 10.1038/nmeth929; Schwab H, 1998, Introduction to wavelets and wavelet transforms.a primer; Truong TV, 2011, NAT METHODS, V8, P757, DOI 10.1038/nmeth.1652; Watanabe TM, 2010, BIOPHYS J, V99, pL50, DOI 10.1016/j.bpj.2010.07.036; [吴美端 Wu Meirui], 2015, [激光与光电子学进展, Laser & Optoelectronics Progress], V52, P010003176209237446中国激光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。2017biotechnology; light sheet fluorescence microscopy; super-resolution optical fluctuation imaging algorithm; lateral resolution; zebrafishREORTSOM217465In 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 50frames 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.Improving Lateral Resolution of Light Sheet Fluorescence Microscopy with SOFI Method期刊论文利用SOFI方法提高光片荧光显微镜横向分辨率Chinese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; 斑马鱼安坤; 王晶; 梁东; 刘军607002 CSCD:6021621
中文题目: 利用SOFI方法提高光片荧光显微镜横向分辨率
外文题目: Improving Lateral Resolution of Light Sheet Fluorescence Microscopy with SOFI Method
作者: 安坤; 王晶; 梁东; 刘军
刊名: 中国激光
年: 2017 卷: 44 期: 6 文章编号:607002
中文关键词:
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
英文关键词:

biotechnology; light sheet fluorescence microscopy; super-resolution optical fluctuation imaging algorithm; lateral resolution; zebrafish
中文摘要:
英文摘要:
文献类型: 期刊论文
正文语种: Chinese
收录类别: CSCD  
DOI: 10.3788/CJL201744.0607002
全文传递服务
clickdetails
页面点击量:1
visitlog
友情链接:
  上海大恒公司
  南京先进激光技术院
  光学产品库
版权所有 © 2009 中国科学院上海光学精密机械研究所 沪ICP备05015387号
主办:中国科学院上海光学精密机械研究所 上海市嘉定区清河路390号(201800)