Optimal compressive multiphoton imaging at depth using single-pixel detection

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

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)


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.

Original languageEnglish
Pages (from-to)4981-4984
Number of pages4
JournalOptics Letters
Issue number20
Publication statusPublished - 2019 Oct 15

Bibliographical note

Funding Information:
Engineering and Physical Sciences Research Council (EP/P030017/1); Horizon 2020 Framework Programme (675512, BE-OPTICAL).

Publisher Copyright:
© 2019 Optical Society of America.

All Science Journal Classification (ASJC) codes

  • Atomic and Molecular Physics, and Optics


Dive into the research topics of 'Optimal compressive multiphoton imaging at depth using single-pixel detection'. Together they form a unique fingerprint.

Cite this