Cell & Gene Therapy Laboratory Solutions
As a specialty laboratory solutions provider, we are at the forefront of addressing the complexity in Cell & Gene Therapy clinical trials, and offer a comprehensive suite of solutions.


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As a specialty laboratory solutions provider, we are at the forefront of addressing the complexity in Cell & Gene Therapy clinical trials, and offer a comprehensive suite of solutions.

Cerba Research is uniquely positioned to support your Cell and Gene Therapy trial with a wide range of in-house laboratory services, supported by bespoke logistics solutions.

Learn how advanced flow cytometry assays support key activities such as CAR-T cell tracking, biomarker identification, treatment response assessment, and minimal residual disease (MRD) evaluation, helping to generate high-quality data and drive informed decision-making in complex cell therapy trials.

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The Life of a Flow Cytometry Sample

Welcome to this month’s installment of the Flow Matters blog! Generating good flow data starts with picking the right mixture of fluorescent labels to use in your flow cytometry assay (commonly referred to as a “panel”) and the right type of flow cytometer. When building flow assays, it helps to understand how flow cytometers read our mixtures of labels and produce the measurements that we spend so much time poring over during data analysis. In this post, we’re going to do a deeper dive into the technical side of how biomarker detection in flow works and the lessons it can teach us for practical assay design.

Welcome to our third Flow Matters blog post! In the first post we introduced the fundamentals of flow cytometry and its utility for clinical trials. In the second post, we explored how this technique is applied in the development pipeline for CAR-T cell immunotherapies in oncology. Next, we will explore the process behind creating a well-designed flow cytometry assay. It isn’t just enough to have the tools and the vision; craftsmanship is required to turn that vision into reality. If our assay is not properly tailored to fit our needs or is improperly validated, then we can’t reliably interpret the data and produce the needed clinical insights.

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