Compressed sensing for dose reduction in STEM tomography
Compressed sensing for dose reduction in STEM tomography
复制标题
用于减少 STEM 断层扫描剂量的压缩传感
DOI：
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发表时间：
2017
期刊：
影响因子：
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通讯作者：
S. Marcoy
中科院分区：
文献类型：
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作者：
Laurène Donati;M. Nilchian;M. Unser;S. Trépout;C. Messaoudi;S. Marcoy
为了降低三维扫描电子显微镜(STEM)的辐射剂量，我们设计了一个完整的采集-重建框架。投影测量是通过在每个倾斜视图(即，随机波束STEM或“RB-STEM”)随机扫描像素的子集来获取的。然后，通过正则化层析重建框架从随机下采样的测量中恢复高质量的图像。通过满足压缩感知的要求，所提出的方法在现有技术的基础上改进了重采样RB-STEM测量的重建。这一进展为寻找在不降低重建体积质量的情况下对电子敏感样本进行低剂量3D STEM成像的方法开辟了新的视角。实现所提出的重建算法的MatLab代码已经在网上提供。
We designed a complete acquisition-reconstruction framework to reduce the radiation dosage in 3D scanning transmission electron microscopy (STEM). Projection measurements are acquired by randomly scanning a subset of pixels at every tilt-view (i.e., random-beam STEM or “RB-STEM”). High-quality images are then recovered from the randomly downsampled measurements through a regularized tomographic reconstruction framework. By fulfilling the compressed sensing requirements, the proposed approach improves the reconstruction of heavily-downsampled RB-STEM measurements over the current state-of-the-art technique. This development opens new perspectives in the search for methods permitting lower-dose 3D STEM imaging of electron-sensitive samples without degrading the quality of the reconstructed volume. A Matlab code implementing the proposed reconstruction algorithm has been made available online.
DOI：
10.1093/jmicro/dfp052
发表时间：
2010-04-01
期刊：
JOURNAL OF ELECTRON MICROSCOPY
影响因子：
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作者：
Buban, James P.;Ramasse, Quentin;Stahlberg, Henning
通讯作者：
Stahlberg, Henning