Latest App Notes & Case Studies

App Note / Case Study
Accelerate Your Multiomics Spatial Biology Research
Explore how this platform eliminate barriers to spatial biology research, empowering scientists to achieve publication-ready results in record time without compromising on experimental flexibility.

App Note / Case Study
Optimize cfDNA Sequencing Using Highly Sensitive Next-Gen Assays
This application note provides data-driven insights for optimizing cfDNA workflows, from initial sample input to final sequencing parameters.

App Note / Case Study
Advancing Quantitative Proteomics With Next-Gen DIA
This app note highlights a next-generation approach that enhances the depth of data-independent acquisition (DIA) while maintaining the precision of targeted workflows.

App Note / Case Study
Simplifying Fusion Protein Characterization
This application note demonstrates how advanced LC-MS techniques provide comprehensive fusion protein characterization.

App Note / Case Study
Enhanced HCP Detection With Advanced Mass Spectrometry
This application note explores how the combination of advanced ion mobility technology, fragmentation processes and sensitive detection enable the identification of low-abundance peptides, metabolites and lipids in complex biological samples.

App Note / Case Study
A Biopharmaceutical Company’s Journey to Savings and Optimized Sample Management
Learn how this client partnered with Azenta Life Sciences to integrate industry-leading sample capabilities and enterprise-wide sample exploration and management solutions to improve operations and accelerate therapeutic discovery & development

App Note / Case Study
Improve Insights Into Mitochondrial Function
This application note highlights how combining relative oxygen consumption rate (rOCR) assays with imaging technologies can transform mitochondrial research, featuring workflows and examples that simplify complex analyses.

App Note / Case Study
Enhance Low-Abundance Proteomics Sensitivity
This app note explores how innovative scanning data-independent acquisition methods improve protein identification and quantitation at sub-nanogram levels.

App Note / Case Study
Uncovering the Role of T Cells in Cancer With Spatial Biology
This application focus explores how high-plex spatial profiling can be applied to better understand the role of T cells in cancer immune surveillance and how cancers evade the immune system.

App Note / Case Study
Unraveling Protein Complex Dynamics
Discover how cutting-edge methodologies capture transient interactions with precision, providing a deeper understanding of complex binding dependencies.
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