Automated flow cytometry (FC) data analysis tools for cell population identification and
characterization are increasingly being used in academic, biotechnology, pharmaceutical …

Flow cytometry is widely used within the manufacturing of cell and gene therapies to
measure and characterise cells. Conventional manual data analysis relies heavily on …

Cell-based medicinal products (CBMPs) offer ground-breaking opportunities to treat
diseases with limited or no therapeutic options. However, the intrinsic complexity of CBMPs …

Abstract Background and Objective: Flow cytometry is a widely used technique for
identifying cell populations in patient-derived fluids, such as peripheral blood (PB) or …

Flow cytometry is a powerful technology for high-throughput protein quantification at the
single-cell level. Technical advances have substantially increased data complexity, but …

The analysis of large amounts of data is important for the development of machine learning
(ML) models. flowSim is the first algorithm designed to visualize, detect and remove highly …

Surface expression of cell populations are often sought as diagnostic and prognostic
biomarkers in hematology-oncology and infectious diseases, making flow cytometry an …

Background Low‐temperature cryopreservation is a common method for scientific research
and clinical sample preservation when utilizing flow cytometry. In flow cytometry data …

Measured variability of product within Cell and Gene Therapy (CGT) manufacturing arises
from numerous sources across pre-analytical to post-analytical phases of testing. Operators …

Manual expert gating remains common practice for the definition of specific cell populations
in the analysis of flow cytometry data. The increasing number of measured parameters per …