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Using a modified double deep image prior for crosstalk mitigation in multislice ptychography
Journal of Synchrotron Radiation ( IF 2.4 ) Pub Date : 2021-05-19 , DOI: 10.1107/s1600577521003507
Ming Du 1 , Xiaojing Huang 2 , Chris Jacobsen 1
Affiliation  

Multislice ptychography is a high-resolution microscopy technique used to image multiple separate axial planes using a single illumination direction. However, multislice ptychography reconstructions are often degraded by crosstalk, where some features on one plane erroneously contribute to the reconstructed image of another plane. Here, the use of a modified `double deep image prior' (DDIP) architecture is demonstrated in mitigating crosstalk artifacts in multislice ptychography. Utilizing the tendency of generative neural networks to produce natural images, a modified DDIP method yielded good results on experimental data. For one of the datasets, it is shown that using DDIP could remove the need of using additional experimental data, such as from X-ray fluorescence, to suppress the crosstalk. This method may help X-ray multislice ptychography work for more general experimental scenarios.

中文翻译:


使用修改后的双深图像先验来减轻多切片叠层摄影中的串扰



多层切片成像是一种高分辨率显微镜技术,用于使用单个照明方向对多个单独的轴向平面进行成像。然而,多层叠层成像重建通常会因串扰而降级,其中一个平面上的某些特征错误地影响另一平面的重建图像。这里,展示了使用修改后的“双深图像先验”(DDIP)架构来减轻多切片叠层摄影中的串扰伪影。利用生成神经网络生成自然图像的趋势,改进的 DDIP 方法在实验数据上取得了良好的结果。对于其中一个数据集,结果表明,使用 DDIP 可以消除使用额外实验数据(例如 X 射线荧光数据)来抑制串扰的需要。这种方法可能有助于 X 射线多层叠层成像技术适用于更一般的实验场景。
更新日期:2021-07-24
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