HoloPy is a python based tool for working with digital holograms and light scattering. HoloPy can:
- Load images, associate them with experimental metadata, and visualize loaded or calculated images.
- Reconstruct 3D volumes from digital holograms
- Do Scattering Calculations
- Compute Holograms, electric fields, scattered intensity, cross sections, ...
- From spheres, clusters of spheres, and arbitrary structures (using DDA)
- Make precise measurements by fitting scattering models (based on the above structures) to experimental data.
HoloPy provides a powerful and user-friendly interface to scattering and optical propagation theories. It also provides a set of flexible objects that make it easy to describe and analyze data from complex experiments or simulations. HoloPy's optical propagation theories work for holograms of arbitrary objects; HoloPy's current scattering calculations accurately describe scatterers in sizes from tens of micrometers and smaller.
The easiest way to see what HoloPy is all about is to jump to the examples in our user guide.
HoloPy started as a project in the Manoharan Lab at Harvard University. If you use HoloPy, you may wish to cite one or more of our papers. We also encourage you to sign up for our User Mailing List to keep up to date on releases, answer questions, and benefit from other users' questions.
HoloPy is based upon work supported by the National Science Foundation under grant numbers CBET-0747625, DMR-0820484, DMR-1306410, and DMR-1420570.
