...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>ACS nano >Numerically Enhanced Stimulated Emission Depletion Microscopy with Adaptive Optics for Deep-Tissue Super-Resolved Imaging
【24h】

Numerically Enhanced Stimulated Emission Depletion Microscopy with Adaptive Optics for Deep-Tissue Super-Resolved Imaging

机译：具有深度组织超分辨成像的自适应光学器件数值增强的刺激发射耗尽显微镜

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

In stimulated emission depletion (STED) nanoscopy, the major origin of decreased signal-to-noise ratio within images can be attributed to sample photo-bleaching and strong optical aberrations. This is due to STED utilizing a high-power depletion laser (increasing the risk of photodamage), while the depletion beam is very sensitive to sample-induced aberrations. Here, we demonstrate a custom-built STED microscope with automated aberration correction that is capable of 3D super-resolution imaging through thick, highly aberrating tissue. We introduce and investigate a state of the art image denoising method by block-matching and collaborative 3D filtering (BM3D) to numerically enhance fine object details otherwise mixed with noise and further enhance the image quality. Numerical denoising provides an increase in the final effective resolution of the STED imaging of 31% using the well established Fourier ring correlation metric. Results achieved through the combination of aberration correction and tailored image processing are experimentally validated through super-resolved 3D imaging of axons in differentiated induced pluripotent stem cells growing under an 80 mu m thick layer of tissue with lateral and axial resolution of 204 and 310 nm, respectively.
机译：在刺激的发射耗尽（STED）纳米镜中，图像内的信号对噪声比的主要起源可归因于样品漂白和强光畸变。这是由于利用高功率耗尽激光（增加了光电模压的风险），而耗尽束对样品诱导的像差非常敏感。在这里，我们展示了一种定制的被自定义的被定型的显微镜，其自动像差校正能够通过厚的高度差距组织3D超分辨率成像。我们通过块匹配和协作3D滤波（BM3D）来介绍和研究现有技术的图像去噪方法，以实现与噪声混合的微量对象细节并进一步增强图像质量。数值去噪提供了使用良好的傅里叶环相关度量的31％的定型成像的最终有效分辨率的增加。通过在不同的诱导多能干细胞中的轴突的超分辨率3D成像通过在80μm厚的组织中生长的超分辨率的3D成像来实现通过矛盾校正和量身定制的图像处理来实现的结果，其具有204和310nm的横向和轴分辨率，分别。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号