Latest Whitepapers

This whitepaper highlights the features and capabilities of a novel system for streamlining affinity analysis for rapid lead molecule screening.

Flow cytometry is an important part of the drug discovery workflow. From screening antibodies to small molecules, combining tests for various analytes in a single panel not only reduces the necessary sample volume but also collects more information in less time, accelerating the drug discovery process.

Rather than choosing between the detail of single-cell RNA sequencing and the in situ capabilities of conventional immunohistochemistry, spatial phenotyping allow you to visualize and quantify dozens of biomarkers in a single tissue sample while maintaining cellular and sub-cellular detail.

Recent technological advancements have made single-cell sequencing an increasingly powerful tool for understanding biology and cellular function, disease diagnosis, therapy response prediction, and treatment selection.

In 2012, the Harvard Brain Tissue Resource Center lost 150 of its stored frozen brain samples, including one third of the world’s largest collection of autism brain tissue.

Many regulatory guidelines state that cell banks and cultures used in the production of biologics must be tested for mycoplasma. Mycoplasma infections can cause severe problems in manufacturing as these organisms can alter DNA, RNA and modify host cell plasma membrane antigens.

Determining cell viability is a vital component in many biological experiments and one of the most common methods for this measurement is the trypan blue (TB) exclusion assay.

Whether you are simply splitting cells as a part of routine cell culture or preparing cell samples for experiments downstream.

Spatially resolved biology allows researchers to study cells in the context of their tissue microenvironment, enabling a fuller appreciation of cellular function.

Flow cytometry has enabled the discovery of varied and nuanced cell types in terms of phenotypic markers and biological functions, but the visible spectrum places limitations on the number of extrinsic parameters that can be assessed.