Partial least squares discriminant analysis (PLSDA) identifies distinct spectral variations in the fingerprint region, reflecting fundamental biochemical differences between lymphoma, nonmalignant lymphoid tissue, and their subtypes. These spectral features offer valuable insights into the application of ATR-FTIR spectroscopy and machine learning in the field of lymphoma diagnosis as a non-destructive, rapid and inexpensive tool with the potential to be easily implemented in non-specialized laboratories.
- Charlotte Delrue
- Mattias Hofmans
- Sander De Bruyne