Deep learning augmented nanoplasmonic infrared sensor for structural protein biomarker-based detection of neurodegenerative diseases

Deepthy Kavungal; Pedro Magalhães; Senthil T. Kumar; Rajasekhar Kolla; Hilal Lashuel; Hatice Altug

doi:10.1117/12.3003239

13 March 2024 Deep learning augmented nanoplasmonic infrared sensor for structural protein biomarker-based detection of neurodegenerative diseases

Deepthy Kavungal, Pedro Magalhães, Senthil T. Kumar, Rajasekhar Kolla, Hilal Lashuel, Hatice Altug

Author Affiliations +

Proceedings Volume 12858, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XXI; 1285804 (2024) https://doi.org/10.1117/12.3003239
Event: SPIE BiOS, 2024, San Francisco, California, United States

Abstract

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.

Conference Presentation

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Deepthy Kavungal, Pedro Magalhães, Senthil T. Kumar, Rajasekhar Kolla, Hilal Lashuel, and Hatice Altug "Deep learning augmented nanoplasmonic infrared sensor for structural protein biomarker-based detection of neurodegenerative diseases", Proc. SPIE 12858, Nanoscale Imaging, Sensing, and Actuation for Biomedical Applications XXI, 1285804 (13 March 2024); https://doi.org/10.1117/12.3003239

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