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The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

An open-source solution for advanced imaging flow cytometry data analysis using machine learning

Lookup NU author(s): Professor Andrew FilbyORCiD

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Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Hennig H, Rees P, Blasi T, Kamentsky L, Hung J, Dao D, Carpenter AE, Filby A

Publication type: Article

Publication status: Published

Journal: Methods

Year: 2017

Volume: 112

Pages: 201-210

Print publication date: 01/01/2017

Online publication date: 02/09/2016

Acceptance date: 31/08/2016

Date deposited: 11/09/2017

ISSN (print): 1046-2023

ISSN (electronic): 1095-9130

Publisher: Academic Press

URL: https://doi.org/10.1016/j.ymeth.2016.08.018

DOI: 10.1016/j.ymeth.2016.08.018

PubMed id: 27594698


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Funding

Funder referenceFunder name
BB/N005163/1
EP/N013506/1
NSF DBI 1458626

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