arXiv · 1907.02272
Optimal compressive multiphoton imaging at depth using single-pixel detection
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.
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Philip Wijesinghe, Adrià Escobet-Montalbán, Mingzhou Chen, Peter R T Munro, Kishan Dholakia. 2019-07-04. Optimal compressive multiphoton imaging at depth using single-pixel detection. https://doi.org/10.1364/ol.44.004981
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