Projects per year
Abstract
Attenuation of optical fields owing to scattering and absorption limits the penetration depth for imaging. Whilst aberration correction may be used, this is difficult to implement over a large field-of-view in heterogeneous tissue. Attenuation-compensation allows tailoring of the maximum lobe of a propagation-invariant light field and promises an increase in depth penetration for imaging. Here we show this promising approach may be implemented in multi-photon (two-photon) light-sheet fluorescence microscopy and, furthermore, can be achieved in a facile manner utilizing a graded neutral density filter, circumventing the need for complex beam shaping apparatus. A “gold standard” system utilizing a spatial light modulator for beam shaping is used to benchmark our implementation. The approach will open up enhanced depth penetration in light-sheet imaging to a wide range of end users.
Original language | English |
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Article number | 8090 |
Number of pages | 10 |
Journal | Scientific Reports |
Volume | 10 |
DOIs | |
Publication status | Published - 15 May 2020 |
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Dive into the research topics of 'Multi-photon attenuation-compensated light-sheet fluorescence microscopy'. Together they form a unique fingerprint.Projects
- 3 Finished
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M Squared - USTAN Biophotonics Nexus: M Sqaured - St Andrews Biophotonics Nexus
Dholakia, K. (PI)
1/11/17 → 31/10/22
Project: Standard
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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
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H2020 MSCA ITN - BE-OPTICAL: H2020 Marie Curie ITN 2015 BE-OPTICAL
Dholakia, K. (PI)
1/10/15 → 30/09/19
Project: Standard
Datasets
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Data underpinning: Multi-photon attenuation-compensated light-sheet fluorescence microscopy
Veettikazhy, M. (Creator), Nylk, J. (Creator), Gasparoli, F. M. (Creator), Escobet Montalban, A. (Creator), Hansen, A. K. (Creator), Marti, D. (Creator), Andersen, P. E. (Creator) & Dholakia, K. (Creator), University of St Andrews, Oct 2019
DOI: 10.17630/5d8d3500-cd31-4776-8c01-57ad3507d7ff
Dataset
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