has been cited by the following article(s):
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[1]
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Guidelines for standardizing T‐cell cytometry assays to link biomarkers, mechanisms, and disease outcomes in type 1 diabetes
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European journal of …,
2022 |
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[2]
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Multi-centre validation of a flow cytometry method to identify optimal responders to interferon-beta in multiple sclerosis
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2019 |
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[3]
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Quantitative Fluorescence Measurements with Multicolor Flow Cytometry
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Flow Cytometry Protocols,
2018 |
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[4]
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Consistent, multi‐instrument single tube quantification of CD 20 in antibody bound per cell based on CD 4 reference
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Cytometry Part A,
2016 |
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[5]
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Quantitative Flow Cytometry Measurements in Antibodies Bound per Cell Based on a CD4 Reference
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Current Protocols in Cytometry,
2016 |
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[6]
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Quantification of cells with specific phenotypes II: Determination of CD4 expression level on reconstituted lyophilized human PBMC labelled with anti‐CD4 …
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Cytometry Part A,
2015 |
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[7]
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Quantification of cells with specific phenotypes II: Determination of CD4 expression level on reconstituted lyophilized human PBMC labelled with anti‐CD4 FITC antibody
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Cytometry Part A,
2015 |
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[8]
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Recommendations for the development and validation of flow cytometry‐based receptor occupancy assays
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Cytometry Part B: Clinical Cytometry,
2015 |
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[9]
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Consistent, multi‐instrument single tube quantification of CD20 in antibody bound per cell based on CD4 reference
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Cytometry Part B: Clinical Cytometry,
2015 |
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[10]
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Quantification of cells with specific phenotypes II: Determination of CD4 expression level on reconstituted lyophilized human PBMC labelled with anti‐CD4 FITC …
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Cytometry Part A,
2015 |
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[1]
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Transferrin Receptor 1 (TFRC) and Ferroptosis-Related Biomarkers in Oncology: Analytical Evaluation and Translational Potential
Critical Reviews in Analytical Chemistry,
2026
DOI:10.1080/10408347.2026.2680160
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[2]
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Multi-centre validation of a flow cytometry method to identify optimal responders to interferon-beta in multiple sclerosis
Clinica Chimica Acta,
2019
DOI:10.1016/j.cca.2018.11.008
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[3]
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Flow Cytometry Protocols
Methods in Molecular Biology,
2018
DOI:10.1007/978-1-4939-7346-0_6
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[4]
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Current Protocols in Cytometry
2016
DOI:10.1002/0471142956.cy0129s75
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