Current trends in flow cytometry automated data analysis software-Reference-Cited by-同舟云学术

Current trends in flow cytometry automated data analysis software

Published:2021-02-19 Issue:10 Volume:99 Page:1007-1021
ISSN:1552-4922
Container-title:Cytometry Part A
language:en
Short-container-title:Cytometry Pt A

Author:

Cheung Melissa¹,Campbell Jonathan J.²,Whitby Liam³^ORCID,Thomas Robert J.¹,Braybrook Julian²,Petzing Jon¹

Affiliation:

1. Centre for Biological Engineering Loughborough University, Loughborough Leicestershire United Kingdom

2. National Measurement Laboratory LGC Teddington United Kingdom

3. UK NEQAS for Leucocyte Immunophenotyping Sheffield Teaching Hospitals NHS Foundation Trust Sheffield United Kingdom

Funder

Engineering and Physical Sciences Research Council

Ligue Genevoise Contre le Cancer

Publisher

Wiley

Subject

Cell Biology,Histology,Pathology and Forensic Medicine

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/cyto.a.24320

Reference96 articles.

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2. Quantifying operator subjectivity within flow cytometry data analysis as a source of measurement uncertainty and the impact of experience on results;Grant R;PDA J Pharm Sci Technol,2020

3. A deep profiler's guide to cytometry

4. Single-Cell Mass Cytometry of Differential Immune and Drug Responses Across a Human Hematopoietic Continuum

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