Optimal compressive multiphoton imaging at depth using single-pixel detection

Optimal compressive multiphoton imaging at depth using single-pixel detection

Philip Wijesinghe, Adrià Escobet-Montalbán, Mingzhou Chen, Peter R. T. Munro, and Kishan Dholakia

https://doi.org/10.1364/OL.44.004981

?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. In this Letter, we explore the random Morlet basis as an optimal set for compressive multiphoton imaging, based on its ability to minimize the space–frequency uncertainty. We implement this approach for wide-field multiphoton microscopy with single-pixel detection, which allows imaging through turbid media without correction. The Morlet basis promises a route for rapid acquisition with lower photodamage.