Deep Learning-Based Event Classification of Mass Photometry Data for Optimal Mass Measurement at the Single-Molecule Level.
- DOI
- 10.1021/acsnano.5c13074
- Published
- 2026-01-18
- Container
- ACS Nano
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1021/acsnano.5c13074,
title = {Deep Learning-Based Event Classification of Mass Photometry Data for Optimal Mass Measurement at the Single-Molecule Level.},
author = {Iqbal K and Thiele JC and Saman D and Peters JS and Thorpe S and Tusk S and Bardzil J and Benesch JLP and Kukura P.},
year = {2026},
journal = {ACS Nano},
doi = {10.1021/acsnano.5c13074},
url = {https://doi.org/10.1021/acsnano.5c13074}
}RIS
TY - JOUR TI - Deep Learning-Based Event Classification of Mass Photometry Data for Optimal Mass Measurement at the Single-Molecule Level. AU - Iqbal K AU - Thiele JC AU - Saman D AU - Peters JS AU - Thorpe S AU - Tusk S AU - Bardzil J AU - Benesch JLP AU - Kukura P. PY - 2026 JO - ACS Nano DO - 10.1021/acsnano.5c13074 UR - https://doi.org/10.1021/acsnano.5c13074 ER -
APA
K, I., JC, T., D, S., JS, P., S, T., S, T., J, B., JLP, B., & P., K. (2026). Deep Learning-Based Event Classification of Mass Photometry Data for Optimal Mass Measurement at the Single-Molecule Level.. ACS Nano. https://doi.org/10.1021/acsnano.5c13074
Source records
- europe-pmc · retrieved 2026-09-25T23:56:58.684Z