Latest Whitepapers

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

Automation, robotics and digital technologies are transforming laboratory processes in life sciences, R&D and manufacturing, and driving a new era in data-focused disease and drug discovery.

Small molecule drugs have formed most pharmaceutical discoveries for over a century, however, approximately 40% of current active pharmaceutical ingredients (APIs) are poorly soluble, along with around 90% of drugs in development.

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.

The need for molecular diagnostic assays is growing at an unprecedented rate and the discovery of new biomarkers and improved accessibility to standard catalog reagents has allowed the creation of molecular tests faster than ever before.

Real-time PCR, also known as quantitative PCR (qPCR), is the gold-standard for sensitive, specific detection and quantification of nucleic acid targets and qPCR methods have become core technologies for delivering high-quality results in a range of applications throughout biologics development and biomanufacturing.

Chimeric antigen receptor (CAR) T-cell therapy is a revolutionary and promising approach for cancer treatment. However, its potential is limited by technical challenges and safety risks associated with viral transduction–based CAR T-cell generation workflows.

In flow cytometry, some of the fluorescence will be collected in the detection channel of interest, but some of the fluorescence will overlap with other channels. Compensation is used to remove the unwanted light signals from all but the desired detector.

Download this whitepaper to discover how this system can improve your economic value via reduced interruption costs, increased samples throughput as well as improved system intelligence with simple user interface.

Traditionally, manual or semi-automated methods using counting chambers or slides are used in cell counting but there is a high degree of variability in this method attributed to operator error.