Revolutionizing Spectral Baseline Correction in JMP: Harness the Power of Python Integration
Spectral analysis is a cornerstone of analytical chemistry, materials science, and countless other fields where understanding molecular signatures drives discovery. Yet one of the most persistent challenges analysts face is baseline drift – those unwanted variations in signal intensity that can mask true spectral features and compromise quantitative analysis. Today, we're excited to showcase how J...