Reducing variability in flow cytometry clustering using computationally generated synthetic data: increasing analytical accuracy and precision in CD34+ stem cell enumeration [poster]
poster
posted on 2025-06-09, 09:15 authored by Bradley Mason, Laura JusthamLaura Justham, Liam Whitby, Alison Whitby, Scott Stuart, Samuel Nti, Jon PetzingJon PetzingThis work was presented at International Society of Cell & Gene Therapy (ISCT) 2025 - 31st Scientific Annual Meeting.
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EPSRC
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- Mechanical, Electrical and Manufacturing Engineering
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International Society of Cell & Gene Therapy (ISCT) 2025 - 31st Scientific Annual MeetingPublisher
Loughborough UniversityVersion
- VoR (Version of Record)
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© The author(s)Publication date
2025-05-06Copyright date
2025Notes
This poster is related to the conference abstract paper: Mason, B., Justham, L., Whitby, L., Whitby, A. and Petzing, J., 2025. Reducing variability in flow cytometry cluster analysis using synthetic data: increasing analytical accuracy and precision in CD34+ stem cell enumeration. Cytotherapy, 27 (5) supplement, pp. S121-S122, which can be found at: https://doi.org/10.1016/j.jcyt.2025.03.239.Language
- en
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Dr Jon Petzing. Deposit date: 9 June 2025Usage metrics
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