We've updated our Privacy Policy to make it clearer how we use your personal data. We use cookies to provide you with a better experience. You can read our Cookie Policy here.

Advancing Quantitative Proteomics With Next-Gen DIA

Image of a molecular structure surrounded by binary numbers and data imagery
Credit: iStock

Mass spectrometry-based omics has evolved into a powerful tool for longitudinal studies in clinical research and precision medicine. However, traditional data-dependent acquisition (DDA) methods often miss key analytes, and improving throughput while maintaining depth, reproducibility and precision remains a challenge.


This app note highlights a next-generation approach that enhances the depth of data-independent acquisition (DIA) while maintaining the precision of targeted workflows.


Download this app note to discover:

  • Advancements in mass spectrometry and DIA methods revolutionizing proteomics research
  • How to enhance detection and quantitation of low-abundance proteins for more accurate and reliable results
  • Strategies for increasing throughput without compromising data quality
Brought to you by

Download the Application Note for FREE Now!
Information you provide will be shared with the sponsors for this content. Technology Networks or its sponsors may contact you to offer you content or products based on your interest in this topic. You may opt-out at any time.