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Flow Cytometry Blog

Cyno versus Rhesus NHPs - Things to think about when choosing non-human primate samples in your Flow Cytometry Studies

Posted on: August 28, 2019

Non-human primates (NHPs) are a valuable research tool, especially in the development of vaccines and treatments for infectious diseases like HIV[1]. Although biomedical researchers have made significant advances in reducing the number of NHPs used in research, some preclinical experiments can only be carried out in these unique animal models.

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Outstanding Omics: Genomics, Proteomics, and Flow Cytometry

Posted on: August 22, 2019

We live in an era of data-driven science in which we can sequence the genomes of individual cells and measure the full complement of proteins contained within. How do we acquire and measure such data? The vast world of the “-omics,” including genomics and proteomics, has become accessible to research scientists in basic and clinical research sectors because of the rise of new tools and techniques that have improved the speed, accuracy, and affordability of the methods. Flow cytometry has been a critical technique in this revolution as it allows for the detection and sorting of individual cells. Check out the main features of each of these “-omics” fields and how they complement your current research projects.

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Quality Control and Flow Cytometry:  What is it and why do it?

Posted on: May 22, 2019

Flow cytometry (FC) is a sensitive and highly customizable technique that can be used in both preclinical and clinical studies. How do you ensure that flow cytometry data is reliable, consistent and can meet the standards required for regulatory requirements or clinical trials? Implementing quality control (QC) procedures is a widely accepted strategy to guarantee that your flow cytometry data is handled in a rigorous and consistent manner and can be used for regulatory compliance and clinical trial evaluations.

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Flow Cytometry in the Era of Big Data and Omics

Posted on: November 29, 2017

Flow cytometry has been a source of abundant, detailed data about cells of the immune system for decades and is critical component of biomedical research as it transitions into a quantitative, data-driven discipline. Flow cytometry and cell sorting work well as upstream tools to phenotype and sort specific cell subsets for an array of downstream applications. These combined analyses are instrumental to defining accurate biomarker signatures of diseases or chronic conditions. Consider flow cytometry data analysis techniques to take your research into the realm of big data.

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Computational Cytometry | Flow Cytometry Data Analysis in the Era of Quantitative Data Science

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