Holographic Microscopy With Python and HoloPy | Zendy

Solomon Barkley | Zendy; Thomas G. Dimiduk | Zendy; Jerome Fung | Zendy; David M. Kaz | Zendy; Vinothan N. Manoharan | Zendy; Ryan McGorty | Zendy; Rebecca W. Perry | Zendy; Anna Wang | Zendy

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Holographic Microscopy With Python and HoloPy

Author(s) -

Solomon Barkley,

Thomas G. Dimiduk,

Jerome Fung,

David M. Kaz,

Vinothan N. Manoharan,

Ryan McGorty,

Rebecca W. Perry,

Anna Wang

Publication year - 2019

Publication title -

computing in science & engineering

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.547

H-Index - 67

eISSN - 1558-366X

pISSN - 1521-9615

DOI - 10.1109/mcse.2019.2923974

Subject(s) - computing and processing , bioengineering , communication, networking and broadcast technologies

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.

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