02 / Research
Analytical workflows for living systems.
01Raman spectroscopy & chemometric modeling
Quantitative cell phenotyping workflows for reproducible spectral acquisition and interpretation.
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.
02Hydrogel micro-well platforms
A noninvasive, Raman-compatible platform for single-cell analysis and longitudinal tracking of non-adherent cells.
Hydrogel micro-well platforms
A noninvasive, Raman-compatible platform for single-cell analysis and longitudinal tracking of non-adherent cells.- Designed silicon micropillar stamps using KLayout, photolithography and dry etching to produce hydrogel microwells with integrated alphanumeric fiducial markers.
- Developed micro-embossed hydrogel workflows, tuning composition, embossing time and processing conditions to control geometry and mechanical properties.
- Characterized hydrogel stiffness with nanoindentation and well dimensions with optical profilometry and AFM.
- Fabricated Raman-compatible substrates through thin-film deposition and characterized film thickness with an M-probe.
03Fluorescence tools for living algae
Protein and lipid characterization in Phaeodactylum tricornutum under axenic and bacterial co-culture conditions.
Fluorescence tools for living algae
Protein and lipid characterization in Phaeodactylum tricornutum under axenic and bacterial co-culture conditions.- Developed a genetic expression and fluorescence-based assay to visualize protein distribution in living algae following bacterial interactions.
- Engineered Phaeodactylum tricornutum to express SNAP-tag and HaloTag self-labeling fusion proteins using plasmid construction, Gibson Assembly and conjugation.
- Identified cell-wall-permeable fluorescent dyes with minimal native-fluorescence interference and optimized protein- and lipid-labeling conditions with DOE studies.
- Verified protein expression and labeling specificity with SDS-PAGE and Western blotting and collaborated with Lawrence Livermore National Laboratory on quantitative NanoSIMS image analysis.