.png){kind=icon}
返回
Optimization-based simultaneous alignment and reconstruction in multi-element tomography
.png){kind=icon}
OA
AI
DOI：10.1364/OL.44.004331.png)
.png){kind=icon}
原文求助.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
As x-ray microscopy is pushed into the nanoscale with the advent of more bright and coherent x-ray sources, associated improvement in spatial resolution becomes highly vulnerable to geometrical errors and uncertainties during data collection. We address a form of error in tomography experiments, namely, the drift between projections during the tomographic scan. Our proposed method can simultaneously recover the drift, while tomographically reconstructing the specimen based on a joint iterative optimization scheme. This approach utilizes the correlation provided from different view angles and different signals. While generally applicable, we demonstrate our method on x-ray fluorescence tomography from a tissue specimen and compare the reconstruction quality with conventional methods. (C) 2019 Optical Society of America
Keyword:
X-RAY NANOTOMOGRAPHY
REGISTRATION
期刊
IF:
3.3
论文数:
4.0W
被引数:
7.6W
机构
引用论文
Computer calculation of the mechanism and associated kinetic data using a non-isothermal integral method使用非等温积分方法对机理和相关动力学数据进行计算机计算
PREAI
分享收藏Analytical registration of vertical image drifts in parallel beam tomographic data.png)
OPTICS LETTERS
OAAI
OPTICS LETTERSIF3.3
OAAI分享收藏
查看更多内容