Holographic Microscopy with Python and HoloPy
A holographic microscope captures interference patterns, or holograms, that encode three-dimensional (3D) information about the object being viewed. Computation is essential to extracting that 3D information. By wrapping low-level scattering codes and taking advantage of Python's data analysis...
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| creator | Barkley, Solomon Dimiduk, Thomas G Fung, Jerome Kaz, David M Manoharan, Vinothan N McGorty, Ryan Perry, Rebecca W Wang, Anna |
| description | A holographic microscope captures interference patterns, or holograms, that
encode three-dimensional (3D) information about the object being viewed.
Computation is essential to extracting that 3D 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. |
| doi_str_mv | 10.48550/arxiv.1806.00058 |
| format | Article |
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encode three-dimensional (3D) information about the object being viewed.
Computation is essential to extracting that 3D 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
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Computation is essential to extracting that 3D 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
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encode three-dimensional (3D) information about the object being viewed.
Computation is essential to extracting that 3D 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.</abstract><doi>10.48550/arxiv.1806.00058</doi><oa>free_for_read</oa></addata></record> |
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| subjects | Physics - Optics |
| title | Holographic Microscopy with Python and HoloPy |
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