Deep learning-based event classification of mass photometry data for optimal mass measurement at the single-molecule level
Kishwar Iqbal, Jan Christoph Thiele, Dominik Šaman, Jack S. Peters, Stephen Thorpe, Samuel E. Tusk, Jack Bardzil, Justin L. P. Benesch, Philipp Kukura
This paper introduces a deep learning method to classify mass photometry events, improving single-molecule mass measurement accuracy by reducing artifacts and enhancing resolving power.
ACS Nano · Jan 19, 2026Peer-reviewedBiophysics