
Justin Miller-Schulze and Smith Purdum explain how machine learning and chemometrics can improve fire debris classification in forensic science applications.
Protein standards were explored with known hydrodynamic radii, showing how this can be used to determine ideal size exclusion conditions for optimal method performance.






