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首页> 外文期刊>Nature Communications >Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ
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Open-source image reconstruction of super-resolution structured illumination microscopy data in ImageJ

机译:ImageJ中超分辨率结构照明显微镜数据的开源图像重建

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摘要

Super-resolved structured illumination microscopy (SR-SIM) is an important tool for fluorescence microscopy. SR-SIM microscopes perform multiple image acquisitions with varying illumination patterns, and reconstruct them to a super-resolved image. In its most frequent, linear implementation, SR-SIM doubles the spatial resolution. The reconstruction is performed numerically on the acquired wide-field image data, and thus relies on a software implementation of specific SR-SIM image reconstruction algorithms. We present fairSIM, an easy-to-use plugin that provides SR-SIM reconstructions for a wide range of SR-SIM platforms directly within ImageJ. For research groups developing their own implementations of super-resolution structured illumination microscopy, fairSIM takes away the hurdle of generating yet another implementation of the reconstruction algorithm. For users of commercial microscopes, it offers an additional, in-depth analysis option for their data independent of specific operating systems. As a modular, open-source solution, fairSIM can easily be adapted, automated and extended as the field of SR-SIM progresses.
机译:超分辨结构照明显微镜(SR-SIM)是荧光显微镜的重要工具。 SR-SIM显微镜以不同的照明模式执行多次图像采集,并将其重建为超分辨图像。在最频繁的线性实施中,SR-SIM使空间分辨率翻倍。对获取的广域图像数据进行数字重建,因此依赖于特定SR-SIM图像重建算法的软件实现。我们介绍了fairSIM,这是一个易于使用的插件,可以直接在ImageJ中为各种SR-SIM平台提供SR-SIM重建。对于研究小组自己开发超分辨率结构照明显微镜的实现,fairSIM消除了生成重建算法的另一实现的障碍。对于商用显微镜的用户,它为数据提供了额外的深入分析选项,而与特定操作系统无关。作为一种模块化的开源解决方案,随着SR-SIM领域的发展,fairSIM可以轻松地进行适配,自动化和扩展。

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