Suppr超能文献

用于图像对比度和分辨率增强的强度加权减法显微镜方法

Intensity Weighted Subtraction Microscopy Approach for Image Contrast and Resolution Enhancement.

作者信息

Korobchevskaya Kseniya, Peres Chiara, Li Zhibin, Antipov Alexei, Sheppard Colin J R, Diaspro Alberto, Bianchini Paolo

机构信息

Nanoscopy, Nanophysics, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.

Advanced Robotics, Istituto Italiano di Tecnologia, Via Morego 30, 16163 Genova, Italy.

出版信息

Sci Rep. 2016 May 12;6:25816. doi: 10.1038/srep25816.

Abstract

We propose and demonstrate a novel subtraction microscopy algorithm, exploiting fluorescence emission difference or switching laser mode and their derivatives for image enhancement. The key novelty of the proposed approach lies in the weighted subtraction coefficient, adjusted pixel-by-pixel with respect to the intensity distributions of initial images. This method produces significant resolution enhancement and minimizes image distortions. Our theoretical and experimental studies demonstrate that this approach can be applied to any optical microscopy techniques, including label free and non-linear methods, where common super-resolution techniques cannot be used.

摘要

我们提出并演示了一种新颖的减法显微镜算法,该算法利用荧光发射差异或切换激光模式及其导数来增强图像。所提出方法的关键新颖之处在于加权减法系数,它根据初始图像的强度分布逐像素进行调整。该方法显著提高了分辨率,并将图像失真降至最低。我们的理论和实验研究表明,这种方法可应用于任何光学显微镜技术,包括无标记和非线性方法,而在这些方法中,常用的超分辨率技术无法使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/28c3/4865876/2d3576d554a0/srep25816-f1.jpg

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验