Optimal compressive multiphoton imaging at depth using single-pixel detection

Philip Wijesinghe; Adria Escobet Montalban; Mingzhou Chen; Peter R T Munro; Kishan Dholakia

doi:10.1364/OL.44.004981

Optimal compressive multiphoton imaging at depth using single-pixel detection

Philip Wijesinghe, Adria Escobet Montalban, Mingzhou Chen, Peter R T Munro, Kishan Dholakia

Research output: Contribution to journal › Letter › peer-review

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.

Original language	English
Pages (from-to)	4981-4984
Number of pages	4
Journal	Optics Letters
Volume	44
Issue number	20
Early online date	10 Oct 2019
DOIs	https://doi.org/10.1364/OL.44.004981
Publication status	Published - 15 Oct 2019

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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
Accepted author manuscript, 1.27 MBLicence: Unspecified

https://arxiv.org/abs/1907.02272

Resonant and shaped photonics for under: Resonant and shaped photonics for understanding the physical and biomedical world
Dholakia, K. (PI) & Gather, M. C. (CoI)
1/08/17 → 31/07/22
Project: Standard
H2020 MSCA ITN - BE-OPTICAL: H2020 Marie Curie ITN 2015 BE-OPTICAL
Dholakia, K. (PI)
European Commission
1/10/15 → 30/09/19
Project: Standard

Data underpinning: Optimal compressive multiphoton imaging at depth using single-pixel detection
Wijesinghe, P. (Creator), Escobet Montalban, A. (Creator), Chen, M. (Creator), Munro, P. (Creator) & Dholakia, K. (Creator), University of St Andrews, 2019
DOI: 10.17630/8a54533e-c4ce-40d0-befe-401ddb9daadb
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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. 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.",

author = "Philip Wijesinghe and {Escobet Montalban}, Adria and Mingzhou Chen and Munro, {Peter R T} and Kishan Dholakia",

note = "Funding: UK Engineering and Physical Sciences Research Council (grant EP/P030017/1) and the European Union{\textquoteright}s Horizon 2020 Framework Programme (H2020) (675512, BE-OPTICAL).",

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AU - Wijesinghe, Philip

AU - Escobet Montalban, Adria

AU - Chen, Mingzhou

AU - Munro, Peter R T

AU - Dholakia, Kishan

N1 - 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).

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Y1 - 2019/10/15

N2 - 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.

AB - 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.

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JO - Optics Letters

JF - Optics Letters

IS - 20

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Optimal compressive multiphoton imaging at depth using single-pixel detection

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Resonant and shaped photonics for under: Resonant and shaped photonics for understanding the physical and biomedical world

H2020 MSCA ITN - BE-OPTICAL: H2020 Marie Curie ITN 2015 BE-OPTICAL

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Data underpinning: Optimal compressive multiphoton imaging at depth using single-pixel detection

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