Raman spectroscopy & chemometric modeling
Quantitative cell phenotyping workflows for reproducible spectral acquisition and interpretation.- Optimized cell seeding density and membrane-supported culture conditions for reliable single-cell occupancy and Raman acquisition.
- Used Raman spectroscopy and chemometric analysis to evaluate substrate compatibility and distinguish cell phenotypes by their spectral signatures.
- Applied MATLAB and Eigenvector PLS Toolbox for spectral preprocessing, PCA/PLS modeling, outlier detection and model evaluation.
- Developed PLS-DA models from Raman spectra of 200+ cells, achieving more than 93.5% classification accuracy across hydrogel stiffness conditions.
- Evaluated model transferability using 1,000+ Raman spectra across datasets and experimental conditions.