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Data deposition for "Deep learning-based event classification of mass photometry data for optimal mass measurement at the single-molecule level"

Documentation:
This repository contains code, example data, trained models, and analysis notebooks sufficient to reproduce the main results presented in our article published in ACS Nano. The materials cover experimental point spread function (PSF) generation, deep learning model training, and application to mass photometry data.

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Institution:
University of Oxford
Division:
MPLS
Department:
Chemistry
Role:
Creator

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Funder identifier:
https://ror.org/0472cxd90


Publisher:
University of Oxford
DOI:


Language:
English
Pubs id:
2357594
UUID:
uuid_f7ca4c05-a18e-4cb6-9823-c2a0ba7a5813
Local pid:
pubs:2357594
Deposit date:
2026-01-10
ARK identifier:

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