# pyolaf - A Python-based 3D reconstruction framework for light field microscopy
pyolaf is a Python port of the [oLaF](https://gitlab.lrz.de/IP/olaf/) 3D reconstruction framework for light field microscopy (LFM).
## Overview
The light field microscope (LFM) allows for 3D imaging of fluorescent specimens using an array of micro-lenses (MLA) that capture both spatial and directional light field information in a single shot. oLaF is a Matlab framework for 3D reconstruction of LFM data with a deconvolution algorithm that reduces aliasing artifacts.
pyolaf brings these same features to the Python ecosystem, using GPU acceleration and some further code optimizations to **speed up deconvolution by 20x**.
## Limitations
pyolaf only supports regular grids and single-focus conventional light-field microscopes.
In particular Fourier LFM, hexagonal grids, and multi-focus lenslets are currently not supported.
Pull requests to add these are welcome!
## Copyright
Copyright (c) 2017-2020 Anca Stefanoiu, Josue Page, and Tobias Lasser -- original oLaF code
Copyright (c) 2023 Lili Karashchuk -- pyolaf
## Citation
When using pyolaf in academic publications, please reference the following citation:
- A. Stefanoiu et. al., "Artifact-free deconvolution in light field microscopy", Opt. Express, 27(22):31644, (2019).
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