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Evaluating flow cytometry automated data analysis software [poster]

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posted on 2019-07-17, 08:53 authored by Melissa Cheung, Jonathan Campbell, Julian Braybrook, Rob ThomasRob Thomas, Jon PetzingJon Petzing
Evaluating flow cytometry automated data analysis software [poster]

Funding

UK EPSRC/MRC Doctoral Training Centre for Regenerative Medicine at Loughborough University (EP/L105072/1), and LGC Ltd.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

EPSRC and MRC CDTs in Tissue Engineering and Regenerative Medicine 2019 Joint Conference

Citation

CHEUNG, M. ... et al, 2019. Evaluating flow cytometry automated data analysis software. Presented at the EPSRC and MRC CDTs in Tissue Engineering and Regenerative Medicine 2019 Joint Conference, University of Manchester, Manchester, UK, 12 July 2019.

Version

  • AM (Accepted Manuscript)

Publisher statement

This work is made available according to the conditions of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) licence. Full details of this licence are available at: https://creativecommons.org/licenses/by-nc-nd/4.0/

Publication date

2019

Notes

This is a conference poster.

Language

  • en

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    Loughborough Publications

    Categories

    Keywords

    untaggedMechanical Engineering not elsewhere classified

    Licence

    CC BY-NC-ND 4.0

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