Pupil filters for extending the field-of-view in light-sheet microscopy

Wilding, Dean; Pozzi, Paolo; Soloviev, Oleg; Vdovin, Gleb; Sheppard, Colin J. R.; Verhaegen, Michel

doi:10.1364/ol.41.001205

Cited by 24 publications

(6 citation statements)

References 13 publications

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“…The maximum stroke of the MAL limits the maximum amplitudes of the modes, hence the exploration parameters and bounds for each mode should be carefully chosen. Previously, DONE has successfully been used in WFSL-AO OCT, light sheet microscopy, and simulations of an optical beam forming network [29,38,47]. It was shown that DONE outperforms other algorithms in residual wavefront error and convergence speed [29].…”

Section: Discussionmentioning

confidence: 99%

Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging [Invited]

Verstraete

Heisler

et al. 2017

Biomed. Opt. Express

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In this report, which is an international collaboration of OCT, adaptive optics, and control research, we demonstrate the data-based online nonlinear extremum-seeker (DONE) algorithm to guide the image based optimization for wavefront sensorless adaptive optics (WFSL-AO) OCT for in vivo human retinal imaging. The ocular aberrations were corrected using a multi-actuator adaptive lens after linearization of the hysteresis in the piezoelectric actuators. The DONE algorithm succeeded in drastically improving image quality and the OCT signal intensity, up to a factor seven, while achieving a computational time of 1 ms per iteration, making it applicable for many high speed applications. We demonstrate the correction of five aberrations using 70 iterations of the DONE algorithm performed over 2.8 s of continuous volumetric OCT acquisition. Data acquired from an imaging phantom and in vivo from human research volunteers are presented.

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Section: Discussionmentioning

confidence: 99%

Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging [Invited]

Verstraete

Heisler

et al. 2017

Biomed. Opt. Express

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“…A wide range of additional innovations extended the imaging resolution and 3D field of view for diverse applications of light-sheet microscopy. These improvements included varying the in-plane propagation direction of the light sheet to reduce striping (Huisken & Stainier 2007); beam shaping and adaptive optics (Dalgarno et al 2012, Lindek et al 1996, Royer et al 2016, Wilding et al 2016; and the use of Bessel beams (Fahrbach & Rohrbach 2010, Planchon et al 2011, Airy beams (Vettenburg et al 2014), lattice sheets (Chen et al 2014), beam-waist scanning (Dean et al 2015), two-photon excitation (Lavagnino et al 2013, Truong et al 2011, structured illumination (Keller et al 2010, Mertz & Kim 2010, and nonlinear photoactivation (Cella . Additional methods have incorporated deconvolution and computational reconstruction of multiple projections to yield higher isotropic resolution (Chhetri et al 2015, Wu et al 2016, although the routine deconvolution of large, high-speed data sets remains very computationally demanding.…”

Section: Improvements To Sample Geometries and Spatial Resolutionmentioning

confidence: 99%

Light-Sheet Microscopy in Neuroscience

Hillman

Voleti

et al. 2019

Annu. Rev. Neurosci.

139

108

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Light-sheet microscopy is an imaging approach that offers unique advantages for a diverse range of neuroscience applications. Unlike point-scanning techniques such as confocal and two-photon microscopy, light-sheet microscopes illuminate an entire plane of tissue, while imaging this plane onto a camera. Although early implementations of light sheet were optimized for longitudinal imaging of embryonic development in small specimens, emerging implementations are capable of capturing light-sheet images in freely moving, unconstrained specimens and even the intact in vivo mammalian brain. Meanwhile, the unique photobleaching and signal-to-noise benefits afforded by light-sheet microscopy's parallelized detection deliver the ability to perform volumetric imaging at much higher speeds than can be achieved using point scanning. This review describes the basic principles and evolution of light-sheet microscopy, followed by perspectives on emerging applications and opportunities for both imaging large, cleared, and expanded neural tissues and high-speed, functional imaging in vivo.

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“…The pupil function is real valued ±1 and therefore, the solution is symmetric along the optical axis and in the orthogonal directions. These pupil filters are found by a two-stage optimization procedure 22…”

Section: Light-sheet Shapingmentioning

confidence: 99%

Light-sheet optimization for microscopy

Wilding

Pozzi

Soloviev

et al. 2016

Adaptive Optics and Wavefront Control for Biological Systems II

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Aberrations, scattering and absorption degrade the performance light-sheet fluorescence microscopes (LSFM). An adaptive optics system to correct for these artefacts and to optimize the light-sheet illumination is presented. This system allows a higher axial resolution to be recovered over the field-of-view of the detection objective. It is standard selective plane illumination microscope (SPIM) configuration modified with the addition of a spatial light modulator (SLM) and a third objective for the detection of transmitted light. Optimization protocols use this transmission light allowing the extension the depth-of-field and correction of aberrations whilst retaining a thin optical section.

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Pupil filters for extending the field-of-view in light-sheet microscopy

Cited by 24 publications

References 13 publications

Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging [Invited]

Wavefront sensorless adaptive optics OCT with the DONE algorithm for in vivo human retinal imaging [Invited]

Light-Sheet Microscopy in Neuroscience

Light-sheet optimization for microscopy

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