| Title: |
Deep learning augmented nanoplasmonic infrared sensor for structural protein biomarker-based detection of neurodegenerative diseases |
| Authors: |
Kavungal, Deepthy; Magalhães, Pedro; Kumar, Senthil T.; Kolla, Rajasekhar; Lashuel, Hilal; Altug, Hatice |
| Contributors: |
Fixler, Dror; Wachsmann-Hogiu, Sebastian |
| Publisher Information: |
SPIE |
| Publication Year: |
2025 |
| Collection: |
Ecole Polytechnique Fédérale Lausanne (EPFL): Infoscience |
| Subject Terms: |
alphasynuclein; deep learning; Infrared spectroscopy; metasurface; nanoplasmonics; neurodegenerative diseases; protein misfolding |
| Description: |
We introduce an infrared metasurface sensor based on plasmonic surface-enhanced infrared absorption spectroscopy combined with immunoassay, which detects alpha-synuclein, an early structural biomarker protein for neurodegenerative diseases with clinical specificity and identifies its different structural species using their unique spectroscopic signals. Unprecedentedly, we augmented the sensor with a Deep Neural Network, enabling quantitative differentiation of alpha-synuclein aggregates. Capable of multiplexing and retrieving aggregate signatures from complex biomatrix, our sensor shows promise for neurodegenerative disease diagnosis, disease progression monitoring, and drug efficacy assessment. ; BIOS ; LMNN |
| Document Type: |
conference object |
| Language: |
unknown |
| ISBN: |
978-1-5106-6975-8; 1-5106-6975-2 |
| Relation: |
Progress in Biomedical Optics and Imaging - Proceedings of SPIE; 21 Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications; https://infoscience.epfl.ch/handle/20.500.14299/244908 |
| DOI: |
10.1117/12.3003239 |
| Availability: |
https://doi.org/10.1117/12.3003239; https://infoscience.epfl.ch/handle/20.500.14299/244908; https://hdl.handle.net/20.500.14299/244908 |
| Rights: |
false |
| Accession Number: |
edsbas.26BA7FFD |
| Database: |
BASE |