Abstract
We present a deep-learning-based computational approach for multicolor spectroscopic single-molecule localization microscopy. Artificial neural networks trained on simulated data to localize the stochastically blinking single-molecules and enhance the corresponding emission spectra show improved simultaneous multicolor imaging.
Original language | English (US) |
---|---|
Journal | Optics InfoBase Conference Papers |
State | Published - 2022 |
Event | Computational Optical Sensing and Imaging, COSI 2022 - Vancouver, Canada Duration: Jul 11 2022 → Jul 15 2022 |
ASJC Scopus subject areas
- Electronic, Optical and Magnetic Materials
- Mechanics of Materials