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# Core Imaging Library (CIL)

**A versatile python framework for tomographic imaging**

[Source Code](https://github.com/TomographicImaging)

CIL is an open-source mainly Python framework for tomographic imaging for cone and parallel beam geometries. It comes with tools for loading, preprocessing, reconstructing and visualising tomographic data.

We are a user driven [Tomographic Imaging](https://github.com/TomographicImaging) community and welcome all [contributions ](/GZnTckinSgWcwlIw8wZ59A) and [questions](/KXRqjxJVSASBRHHpRNgPag).

## Links to other parts of the webpage
- [About CIL ](/z5PCTnxTRYymskvEM34OHQ)
- [Quick Start](LINK HERE)
- [Installation Guide](/58Vt6XusRuyiVQlsHpBLCQ)
- [Help and FAQs](/KXRqjxJVSASBRHHpRNgPag)
- [Video Guides](LINK HERE)
- [CIL User showcase](LINK HERE)
- [Demos and Tutorials](LINK HERE)
- [The CIL community ](/nSm4OputTbmJBa_a9NNTcA)
- [Current Projects](LINK HERE)
- [Contributor Guide ](/GZnTckinSgWcwlIw8wZ59A)

## Documentation

[Documentation](Link here)

## Upcoming events

## How to Cite CIL

**Citation Instructions:**

Thank you for considering citing the Core Imaging Library (CIL) in your work.

When citing the Core Imaging Library (CIL) in academic papers, articles, or publications, we would prefer you to cite the following paper:

Jørgensen, J. S., Ametova, E., Burca, G., Fardell, G., Murgatroyd, L., Papoutsellis, E., Pasca, E., Thielemans, K., Turner, M., Warr, R., Lionheart, W. R. B., & Withers, P. J. (2021). Core Imaging Library - Part I: a versatile Python framework for tomographic imaging. Philosophical Transactions of The Royal Society A, 379(2204), 2020-0192. [DOI](https://doi.org/10.1098/rsta.2020.0192)

In addition you can cite the software on zenodo, changing the version number as appropriate:

CIL - Core Imaging Library. Version number XX.X. UK Research and Innovation and University of Manchester. Zenodo. [DOI](https://doi.org/10.5281/zenodo.5825832)

### Funding

CIL core-developers gratefully recieve funding from [CCPi](https://ccpi.ac.uk/). CCPi is funded by the EPSRC grant EP/T026677/1. CCPi acknowledges previous funding support by the EPSRC grants EP/J010456/1, EP/M022498/1 and EP/P02226X/1.

Development of CIL is supported by the STFC [Ada Lovelace Centre](https://adalovelacecentre.ac.uk/)

LOGO- CCPi, ALC, STFC