Tissue dissociation and homogenization are excellent candidates for automation in LC-MS workflows, helping scientists achieve consistent and reproducible protein analysis. Scientists use liquid ...

Automated workflows detect drift, contamination, and performance issues early to ensure reliable, reproducible results for ...

LC-MS and GC-MS datasets can be challenging to process and extract meaningful information from. However, when correctly executed, these techniques can be unmatched for detecting unknown components or ...

The sample throughput of high-sensitivity liquid chromatography-mass spectrometry (LC-MS) based proteomics analysis is restricted by the pressure limitations of LC and column hardware, with some ...

Renewed mechanistic understanding of slalom chromatography explains high-resolution DNA/RNA sizing as an out-of-equilibrium ...

When it comes to providing better care, having analytical techniques that can provide high specificity and greater sensitivity all while increasing the laboratories capabilities is essential.

Real-time proteomics is emerging as a powerful strategy for accelerating protein identification. By processing data as it is generated, real-time proteomics enables immediate decision-making during ...

Learn how relative quantification provides coverage of the total host cell protein population, enabling assessment of process ...

A proteomics data pipeline transforms raw mass spectrometry (MS) spectra into biologically interpretable protein-level measurements. As MS-based proteomics datasets continue to increase in size and ...

Plant-produced pyrrolizidine alkaloids (PAs) pose health risks due to their toxicity and frequent occurrence in foods like ...