Welcome...

W. Lee (Wooje)

PhD Candidate

Expertise

Raman Spectroscopy
Labels
Neural Networks
Raman Scattering
Testing
Molecules
Cells
Microchannels
Chutes
Raman Spectroscopy

Publications

Recent
Lee, W., & Offerhaus, H. L. (2018). Classifying Raman Spectra of Extracellular Vesicles using a Convolutional Neural Network. Poster session presented at The 26th International Conference on Raman Spectroscopy 2018, Jeju, Korea, Republic of.

UT Research Information System

Projects

Tumor-derived extracellular vesicles (tdEVs) may contain information important for the management of cancer patients. Their presence in biofluids of cancer patients renders them a promising  biomarker for the diagnosis of cancer, the monitoring of therapy and the profiling of the tumor leading to a therapy tailored to the individual. Within the framework of the Cancer-ID program, novel techniques for the  detection,  isolation and characterization of tdEVs are being developed. EVs of different origins have been prepared and are being characterized with  Raman spectroscopyfluorescence microscopy and  electrical impedance spectroscopy. Functionalized microfluidics and microsieves approaches are being developed to isolate them specifically from heterogeneous patient samples.

Current Projects

Contact Details

Visiting Address

University of Twente
Faculty of Science and Technology
Carré (building no. 15), room C4611
Hallenweg 23
7522NH  Enschede
The Netherlands

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University of Twente
Faculty of Science and Technology
Carré (building no. 15)
Hallenweg 23
7522NH  Enschede
The Netherlands

Navigate to location

Mailing Address

University of Twente
Faculty of Science and Technology
Carré
P.O. Box 217
7500 AE Enschede
The Netherlands