Holographic Microscopy with Python and HoloPy
Image and Video Processing
2018-06-04 v1 Optics
Abstract
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.
Cite
@article{arxiv.1806.00058,
title = {Holographic Microscopy with Python and HoloPy},
author = {Solomon Barkley and Thomas G. Dimiduk and Jerome Fung and David M. Kaz and Vinothan N. Manoharan and Ryan McGorty and Rebecca W. Perry and Anna Wang},
journal= {arXiv preprint arXiv:1806.00058},
year = {2018}
}