T5.2.2 - An Optically-Induced Dielectrophoresis-Based Platform for Enhanced Identification of Prostate Cancer Cells with Different Grades of Malignancy
- Event
- EUROSENSORS XXXVII
2025-09-07 - 2025-09-10
Wroclaw - Band
- Lectures
- Chapter
- T5.2 - Sensors for Medicine and Life-Sciences 1
- Author(s)
- J. Filippi, P. Casti, F. Corsi, G. Antonelli, G. Curci, M. D’Orazio, A. Riccardi, E. Debbi, A. Mencattini, E. Martinelli - University of Rome Tor Vergata, Rome (Italy), A. Pelliccia - Fondazione PTV - Policlinico Tor Vergata, Rome (Italy), M. Scagliotti, L. Mariucci - Italian Nation Research Council (CNR), Rome (Italy), S. L. Neale - University of Glasgow, Glasgow (United Kingdom)
- Pages
- 132 - 133
- DOI
- 10.5162/EUROSENSORS2025/T5.2.2
- ISBN
- 978-3-910600-07-2
- Price
- free
Abstract
Understanding phenotypic heterogeneity at the single-cell level is essential for precise diagnosis and treatment evaluation. The integration of optically-induced dielectrophoresis (ODEP) with microfluidics, live-cell imaging, and machine learning offers a rapid, label-free, and non-invasive method for cell ma-nipulation and analysis. By studying the defocusing dynamics of individual cells under varying DEP-induced frequencies, this platform generates unique phenotypic signatures to distinguish between cell types presenting different tumorigenicity levels.