Optimal compressive multiphoton imaging at depth using single-pixel detection
Optics
2019-10-11 v1 Image and Video Processing
Abstract
Compressive sensing can overcome the Nyquist criterion and record images with a fraction of the usual number of measurements required. However, conventional measurement bases are susceptible to diffraction and scattering, prevalent in high-resolution microscopy. Here, we explore the random Morlet basis as an optimal set for compressive multiphoton imaging, based on its ability to minimise the space-frequency uncertainty. We implement this approach for the newly developed method of wide-field multiphoton microscopy with single-pixel detection (TRAFIX), which allows imaging through turbid media without correction. The Morlet basis is well-suited to TRAFIX at depth, and promises a route for rapid acquisition with low photodamage.
Cite
@article{arxiv.1907.02272,
title = {Optimal compressive multiphoton imaging at depth using single-pixel detection},
author = {Philip Wijesinghe and Adrià Escobet-Montalbán and Mingzhou Chen and Peter R T Munro and Kishan Dholakia},
journal= {arXiv preprint arXiv:1907.02272},
year = {2019}
}