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. 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.
Citation
Wijesinghe , P , Escobet Montalban , A , Chen , M , Munro , P R T & Dholakia , K 2019 , ' Optimal compressive multiphoton imaging at depth using single-pixel detection ' , Optics Letters , vol. 44 , no. 20 , pp. 4981-4984 . https://doi.org/10.1364/OL.44.004981
Publication
Optics Letters
Status
Peer reviewed
ISSN
0146-9592Type
Journal item
Description
Funding: UK Engineering and Physical Sciences Research Council (grant EP/P030017/1) and the European Union’s Horizon 2020 Framework Programme (H2020) (675512, BE-OPTICAL).Collections
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