Wijesinghe, P;
Escobet-Montalbán, A;
Chen, M;
Munro, PRT;
Dholakia, K;
(2019)
Optimal compressive multiphoton imaging at depth using single-pixel detection.
Optics Letters
, 44
(20)
pp. 4981-4984.
10.1364/OL.44.004981.
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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.
| Type: | Article |
|---|---|
| Title: | Optimal compressive multiphoton imaging at depth using single-pixel detection |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.1364/OL.44.004981 |
| Publisher version: | http://dx.doi.org/10.1364/OL.44.004981 |
| Language: | English |
| Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10081990 |
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