FlowView Publications
Expand your knowledge on Flow Cytometry & stay up to date with FlowView’s publications.
FLOWVIEW DIAGNOSTICS
Featured Publications
COVID-19 severity is associated with a maturation dissociation in neutrophil compartment
Neutrophil and eosinophil compartment are long-term (3 to 6 months in this study) affected by COVID-19 in primary care patients.
Multi-set pre-processing of flow cytometry data corrects or the dfi balancing the relative importance of each multi-cell sample in the data, while using all data collected. It may enable outperforming…
Optimal Transformation for flow cytometry data (Otflow) uses various statistical methods to optimally choose the parameter of the transformation and prevent artifacts such as peak spliting….
This study discussed three main applications of flow cytometry in clinical research including immunophenotyping, cell activation and rare cell detection…
In this study, it is the first time to introduce a novel method ECLIPSE (Elimination of Cell Lying in Patterns Similar to Endogeneity) to identify and characterize aberrant cells present in individuals out of homeostasis.
FLOWVIEW DIAGNOSTICS
Featured Publications
COVID-19 severity is associated with a maturation dissociation in neutrophil compartment
Neutrophil and eosinophil compartment are long-term (3 to 6 months in this study) affected by COVID-19 in primary care patients.
Multi-set pre-processing of flow cytometry data corrects or the dfi balancing the relative importance of each multi-cell sample in the data, while using all data collected. It may enable outperforming of prediction accuracy and lead to more robust results.
Transformation of multicolour flow cytometry data with OTflow prevents misleading multivariate analysis results and incorrect immunological conclusions
Optimal Transformation for flow cytometry data (Otflow) uses various statistical methods to optimally choose the parameter of the transformation and prevent artifacts such as peak spliting.
This study discussed three main applications of flow cytometry in clinical research including immunophenotyping, cell activation and rare cell detection. First, it is crucial to focus on the cell type of interest by removing all unwanted events in preparation of data. Then, up to millions of single cells in the sample need to be converted into cellular distribution for further analysis.
In this study, it is the first time to introduce a novel method ECLIPSE (Elimination of Cell Lying in Patterns Similar to Endogeneity) to identify and characterize aberrant cells present in individuals out of homeostasis.
