Optimal compressive multiphoton imaging at depth using single-pixel detection
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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.
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
Copyright © 2019 Optical Society of America. This work has been made available online in accordance with publisher policies or with permission. Permission for further reuse of this content should be sought from the publisher or the rights holder. This is the author created accepted manuscript following peer review and may differ slightly from the final published version. The final published version of this work is available at https://doi.org/10.1364/OL.44.004981
DescriptionFunding: UK Engineering and Physical Sciences Research Council (grant EP/P030017/1) and the European Union’s Horizon 2020 Framework Programme (H2020) (675512, BE-OPTICAL).
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