Breaking new ground in protein detection: Self-supervised machine learning and iSCAT enable label-free detection of single proteins below 10 kDa

Dahmardeh M, Dastjerdi HM, Mazal H, Köstler H, Sandoghdar V (2023)


Publication Type: Conference contribution

Publication year: 2023

Publisher: Optical Society of America

Conference Proceedings Title: Bio-Optics: Design and Application in Proceedings Biophotonics Congress: Optics in the Life Sciences 2023, OMA, NTM, BODA, OMP, BRAIN 2023

Event location: Vancouver, BC, CAN

ISBN: 9781957171210

DOI: 10.1364/BODA.2023.JW2A.3

Abstract

Interferometric scattering (iSCAT) microscopy detects single nanoparticles in a label-free fashion. Utilizing self-supervised machine learning pushes the detection sensitivity of iSCAT to very small proteins and disease markers such as chemokines and cytokines.

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How to cite

APA:

Dahmardeh, M., Dastjerdi, H.M., Mazal, H., Köstler, H., & Sandoghdar, V. (2023). Breaking new ground in protein detection: Self-supervised machine learning and iSCAT enable label-free detection of single proteins below 10 kDa. In Bio-Optics: Design and Application in Proceedings Biophotonics Congress: Optics in the Life Sciences 2023, OMA, NTM, BODA, OMP, BRAIN 2023. Vancouver, BC, CAN: Optical Society of America.

MLA:

Dahmardeh, Mahyar, et al. "Breaking new ground in protein detection: Self-supervised machine learning and iSCAT enable label-free detection of single proteins below 10 kDa." Proceedings of the Biophotonics Congress: Optics in the Life Sciences 2023, OMA, NTM, BODA, OMP, BRAIN 2023 - Part of Optica Biophotonics Congress: Optics in the Life Sciences, Vancouver, BC, CAN Optical Society of America, 2023.

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