# Optimal compressive multiphoton imaging at depth using single-pixel detection

arXiv: https://arxiv.org/abs/1907.02272 · HTML: https://mlsanity.com/paper/1907.02272/

## Key facts

- Cited by 1 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 4 Jul 2019.

## Built on by (most cited first, 1 of 1)

- [Joint Optimization of Hadamard Sensing and Reconstruction in Compressed Sensing Fluorescence Microscopy](https://mlsanity.com/paper/2105.07961/) (2021)

## Abstract (arXiv)

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.