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.

中文翻译：

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使用 Python 和 HoloPy 进行全息显微镜检查

全息显微镜捕获干涉图样或全息图，这些图样对有关被观察物体的三维 (3-D) 信息进行编码。计算对于提取 3-D 信息至关重要。通过封装低级散射代码并利用 Python 的数据分析生态系统，HoloPy 使实验人员可以轻松使用现代、复杂的推理方法来分析全息图。所得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支持实验方法和新实验。