Flow cytometry research

Look through our collection of publications to catch up on the newest trends, approaches, and innovations in the flow cytometry field.

Emergency diagnostics: bacterial vs viral infections

Early findings from UMC Utrecht (CYTO 2023) showed that ASUDES can distinguish between bacterial, viral, and non-infectious cases directly at the point of care. The platform provides automated, real-time visualization of disease-relevant cell populations for non-specialist staff.
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Automated MRD detection in multiple myeloma

At ESCCA 2023, researchers from Radboud University demonstrated that ASUDES can detect monoclonal cells at a level of 0.001 percent in datasets with over eight million events. The results were generated in minutes and matched or exceeded manual MRD analysis, which supports scalable monitoring for hematological malignancies.
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ECLIPSE algorithm: automated disease detection

The ECLIPSE algorithm identifies disease-specific marker patterns and isolates abnormal cells. It facilitates automated interpretation in immune profiling and diseases such as asthma, systemic endotoxin challenge, and hematological disorders.
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Approach to flow cytometry data preprocessing

This article describes preprocessing techniques for multicolor datasets with highly variable cell counts. This method ensures that each sample contributes equally to the analysis, thereby improving classification accuracy and supporting multiset immunological studies.
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OTflow: multivariate transformation for high-dimensional data

OTflow is an optimal transport-based algorithm designed to improve multivariate transformations in flow cytometry. OTflow avoids common issues, such as peak splitting, and enhances the reliability of high-parameter analyses used in diagnostics and research.
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Single-cell analysis: advanced multivariate techniques

This is a practical guide to multivariate workflows for single-cell data with a focus on white blood cells. This tutorial covers study design, preprocessing, clustering, and discriminant analysis to help identify cell states and functions in immunology.
Tutorial on analysis
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