This study explores the connections between the severity of COVID-19 and potential dissociation in neutrophil compartment maturation. By investigating these links, we aim to better comprehend the implications of altered neutrophil maturation on the progression and outcomes of COVID-19 cases…
In this comprehensive study, we investigate the enduring effects of COVID-19 on the neutrophil and eosinophil compartments among primary care patients. Through a longitudinal approach spanning 3 to 6 months, we meticulously analyze and observe changes in these key immune cell populations following COVID-19 infection…
Enhancing Flow Cytometry Data: Multi-Set Pre-Processing Corrects DFI and Balances Sample Importance. By utilizing all collected data, this method may lead to improved prediction accuracy and more robust results. Researchers can now gain more accurate insights across immunology, cell biology, and disease studies.
OTflow: Preventing Misleading Flow Cytometry Analysis. The Optimal Transformation for flow cytometry data utilizes advanced statistical methods to prevent artifacts like peak splitting, ensuring accurate multivariate analysis results and reliable immunological conclusions.
This study highlights three key applications of flow cytometry in clinical research: immunophenotyping, cell activation, and rare cell detection.
This study presents the introduction of a novel method called ECLIPSE (Elimination of Cell Lying in Patterns Similar to Endogeneity) for the identification and characterization of aberrant cells present in individuals outside of homeostasis. This pioneering approach marks the first-time utilization of ECLIPSE to discern and understand such cells with precision.
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