Enhanced Protein Identification and Quantification With Optimized DIA
Credit Thermo Fisher Scientific
Mass spectrometry (MS)-based proteomics has become an invaluable tool for protein identification and quantification in biological and clinical research.
With the recent emergence of the data-independent acquisition (DIA) approach, the field has seen significant advancements. DIA enables comprehensive and unbiased analysis of complex samples, allowing for the detection of low-abundance biologically relevant proteins and providing a large quantitative dynamic range.
This interactive infographic outlines an optimized approach that employs automated sample preparation with optimal configurations and methods to maximize DIA performance.
Download this interactive infographic to learn more about:
- The right workflow tools to streamline your proteomic analysis
- The benefits of automated sample preparation to maximize the performance of DIA experiments
- How optimized methods can increase protein identification and enhance quantitative accuracy
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