Analyzing complex single-molecule emission patterns with deep learning.
basic_science · Level V
Where this comes from
- Record sourced from PubMed, PMID 30377349.
- Also identified by DOI 10.1038/s41592-018-0153-5 and PMC identifier 6624853.
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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.
Medical subject headings
- Deep Learning
- Microscopy, Fluorescence
- Mitochondria
- Mitochondrial Proteins
- Neural Networks, Computer
- Single-Cell Analysis