[P-ITu] ISOM '22 Poster Session

[P-ITu-02] Raman-based classification through regularization and interpretation of resulting sparse vectors

Nicolas Pavillon¹, *Nicholas I. Smith^1,2 (1. IFReC, Osaka University (Japan), 2. OTRI, Osaka University (Japan))

[Presentation Style] Onsite

Raman spectroscopy makes it possible to observe live biological samples through their intracellular molecular content. We study the performance of classification based on a regularization approach that enables biological interpretation with sparse separation vectors.