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Updated: Feb 3, 2026

Author Spotlight: Advanced Single-Molecule Techniques for Investigating Telomeric Protein-DNA Interactions
Published on: August 30, 2024
Analyzing complex single-molecule emission patterns with deep learning
Peiyi Zhang1, Sheng Liu1, Abhishek Chaurasia2
1Weldon School of Biomedical Engineering, Purdue University, West Lafayette, IN, USA.
Abstract:
A fluorescent emitter simultaneously transmits its identity, location, and cellular context through its emission pattern. We developed smNet, a deep neural network for multiplexed single-molecule analysis to retrieve such information with high accuracy. We demonstrate that smNet can extract three-dimensional molecule location, orientation, and wavefront distortion with precision approaching the theoretical limit, and therefore will allow multiplexed measurements through the emission pattern of a single molecule.
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