Holographic Microscopy With Python and HoloPy
Holographic Microscopy With Python and HoloPy
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DOI：
10.1109/mcse.2019.2923974
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发表时间：
2020-09-01
影响因子：
2.1
通讯作者：
Wang, Anna
中科院分区：
文献类型：
--
作者：
Barkley, Solomon;Dimiduk, Thomas G.;Wang, Anna
全息显微镜捕捉干涉图案或全息图，这些图案或全息图编码了关于被观察物体的三维（3-D）信息。计算对于提取三维信息至关重要。通过包装低级散射代码并利用Python的数据分析生态系统，HoloPy使实验者能够轻松使用现代，复杂的推理方法来分析全息图。由此产生的数据可用于了解小颗粒或微生物如何移动和相互作用。该项目说明了计算工具如何使实验方法和新的实验。
A holographic microscope captures interference patterns, or holograms, that encode three-dimensional (3-D) information about the object being viewed. Computation is essential to extract that 3-D information. By wrapping low-level scattering codes and taking advantage of Python's data analysis ecosystem, HoloPy makes it easy for experimentalists to use modern, sophisticated inference methods to analyze holograms. The resulting data can be used to understand how small particles or microorganisms move and interact. The project illustrates how computational tools can enable experimental methods and new experiments.