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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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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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