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Jakob Sauer", "type": "personal" } }, { "person_or_org": { "family_name": "Papoutsellis", "given_name": "Evangelos", "name": "Papoutsellis, Evangelos", "type": "personal" } }, { "person_or_org": { "family_name": "Ametova", "given_name": "Evelina", "name": "Ametova, Evelina", "type": "personal" } }, { "person_or_org": { "family_name": "Fardell", "given_name": "Gemma", "name": "Fardell, Gemma", "type": "personal" } }, { "person_or_org": { "family_name": "Thielemans", "given_name": "Kris", "name": "Thielemans, Kris", "type": "personal" } }, { "person_or_org": { "family_name": "Murgatroyd", "given_name": "Laura", "name": "Murgatroyd, Laura", "type": "personal" } }, { "person_or_org": { "family_name": "Duff", "given_name": "Margaret", "name": "Duff, Margaret", "type": "personal" } }, { "person_or_org": { "family_name": "da Costa-Luis", "given_name": "Casper", "name": "da Costa-Luis, Casper", "type": "personal" } }, { "person_or_org": { "family_name": "Robarts", "given_name": "Hannah", "name": "Robarts, Hannah", "type": "personal" } }, { "person_or_org": { "family_name": "Sugic", "given_name": "Danica", "name": "Sugic, Danica", "type": "personal" } }, { "person_or_org": { "family_name": "Vidal", "given_name": "Franck", "name": "Vidal, Franck", "type": "personal" } } ], "description": "The Core Imaging Library (CIL) is an open-source Python framework for tomographic imaging with particular emphasis on reconstruction of challenging datasets. Conventional filtered backprojection reconstruction tends to be insufficient for highly noisy, incomplete, non-standard or multichannel data arising for example in dynamic, spectral and in situ tomography. 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Licensed works, modifications, and larger works may be distributed under different terms and without source code." }, "id": "apache-2.0", "props": { "scheme": "spdx", "url": "http://www.apache.org/licenses/LICENSE-2.0" }, "title": { "en": "Apache License 2.0" } } ], "subjects": [ { "subject": "tomographic imaging" }, { "subject": "research" }, { "subject": "tomography" }, { "subject": "reconstruction" }, { "subject": "imaging" }, { "subject": "hyperspectral" }, { "subject": "optimisation" } ], "title": "Core Imaging Library (CIL)", "version": "v26.0.0" }, "parent": { "access": { "owned_by": { "user": "219717" }, "settings": { "accept_conditions_text": null, "allow_guest_requests": false, "allow_user_requests": false, "secret_link_expiration": 0 } }, "communities": { "entries": [ { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2015-05-27T09:55:11+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "2b77db1a-4a04-4499-aae0-78ccaf7cdbd0", "links": {}, "metadata": { "curation_policy": "Tomographic and related data from and approved by the CCPi Network.", "description": "CCPi aims to provide the UK tomography community with a toolbox of algorithms that increases the quality and level of information that can be extracted by computed tomography.", "page": "

CCPi aims to provide the UK tomography community with a toolbox of algorithms that increases the quality and level of information that can be extracted by computer tomography. Currently chaired by Prof Philip Withers (Manchester University) and co-ordinated by staff in the Scientific Computing Department of STFC (at Daresbury and Rutherford Appleton Laboratories), it is led by a working group of experimental and theoretical academics with links to the Diamond Light Source and Industry.

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http://www.ccpi.ac.uk/

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Contact: Martin Turner martin.turner@manchester.ac.uk

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Tomographic and related data from and approved by the CCPi Network.

", "title": "Collaborative Computational Project in Tomographic Imaging", "type": { "id": "organization" }, "website": "https://ccpi.ac.uk/" }, "revision_id": 2, "slug": "ccpi", "updated": "2025-10-02T10:46:17.718014+00:00" }, { "access": { "member_policy": "open", "members_visibility": "public", "record_submission_policy": "open", "review_policy": "open", "visibility": "public" }, "children": { "allow": false }, "created": "2020-05-04T20:25:12.481501+00:00", "custom_fields": {}, "deletion_status": { "is_deleted": false, "status": "P" }, "id": "72f37d78-0f40-4380-a0eb-39daca718693", "links": {}, "metadata": { "curation_policy": "", "page": "

This is the Zenodo Community site for the Collaborative Computational Project (CCP) on Synergistic Reconstruction for Biomedical Imaging (SyneRBI). To see all entries, not just the most recent, and to search by Type (e.g. software, datasets), select More from the bottom of the page. Then the Type can be selected from a box on the left. 

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This CCP follows on from our original project "CCP-PETMR" and the data listed below is only available at the CCP-PETMR Zenodo Community:

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Also of interest may be the related CCPi Zenodo community from the CCP on Tomographic Imaging.

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