MAD the ESO multi-conjugate adaptive optics demonstrator

Marchetti, Enrico; Hubin, N.; Fedrigo, Enrico; Brynnel, Joar; Délabre, Bernard; Donaldson, Robert H.; Franza, F.; Conan, Rodolphe; Louarn, Miska Le; Cavadore, Cyril; Balestra, Andrea; Baade, D.; Lizon, J. L.; Gilmozzi, R.; Monnet, G.; Ragazzoni, Roberto; Arcidiacono, Carmelo; Baruffolo, A.; Diolaiti, Emiliano; Farinato, Jacopo; Vernet-Viard, Elise; Butler, D.; Hippler, S.; Amorin, Antonio

doi:10.1117/12.458859

Cited by 94 publications

(54 citation statements)

References 6 publications

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“…S4). We envision that the additional conjugation of a few DMs, similar to the multiconjugate AO used in astronomy (39), could more effectively compensate thick tissue (40) to achieve a greater corrected FOV, albeit at the cost of system complexity.…”

Section: Discussionmentioning

confidence: 99%

High-resolution in vivo imaging of mouse brain through the intact skull

Park

Sun

Cui

2015

Proc. Natl. Acad. Sci. U.S.A.

153

130

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Multiphoton microscopy is the current method of choice for in vivo deep-tissue imaging. The long laser wavelength suffers less scattering, and the 3D-confined excitation permits the use of scattered signal light. However, the imaging depth is still limited because of the complex refractive index distribution of biological tissue, which scrambles the incident light and destroys the optical focus needed for high resolution imaging. Here, we demonstrate a wavefrontshaping scheme that allows clear imaging through extremely turbid biological tissue, such as the skull, over an extended corrected field of view (FOV). The complex wavefront correction is obtained and directly conjugated to the turbid layer in a noninvasive manner. Using this technique, we demonstrate in vivo submicron-resolution imaging of neural dendrites and microglia dynamics through the intact skulls of adult mice. This is the first observation, to our knowledge, of dynamic morphological changes of microglia through the intact skull, allowing truly noninvasive studies of microglial immune activities free from external perturbations.neuroimaging | nonlinear microscopy | wavefront shaping | immunology | adaptive optics B reakthroughs in imaging technologies have been one of the major driving forces of new discoveries in biology (1). In the past two decades, we have witnessed that the advances of superresolution microscopy revolutionized our understanding of the complex dynamics in single cells (2). However, the techniques that work well on cultured cells often fail when being used to observe the cells in their native environment inside a living organism, the most ideal condition for biological studies. These difficulties result from the optical wavefront distortions induced by the inhomogeneous refractive index distribution in biological tissue.Because of this limitation, imaging inside deep tissue has been a challenging task, and the common goal of state of the art deep tissue-imaging methods is to recover the diffraction-limited resolution. These efforts can be categorized largely into two groups: the first capitalizes the use of longer wavelengths (3, 4) that undergo less scattering, whereas the second controls the optical wavefront, so that the wavefront distortions induced by the sample can be compensated (5-30). Longer wavelength excitation has demonstrated impressive penetration depths in the exposed brain (3) and imaging of the brain vascular structures beneath the skull (4). However, at the current state, using longer wavelengths is not a simple option because it requires special illumination sources [e.g., low repetition rate, high energy pulses (3)] or fluorescent probes (4), and provides only moderate spatial resolutions. In comparison, wavefront shaping allows the use of conventional light sources as well as the wide selection of wellestablished labels and functional indicators (31).Previous exciting works in adaptive optics (AO) have exploited these advantages and demonstrated aberration correction for a large field of view (FOV) by avera...

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Section: Discussionmentioning

confidence: 99%

High-resolution in vivo imaging of mouse brain through the intact skull

Park

Sun

Cui

2015

Proc. Natl. Acad. Sci. U.S.A.

153

130

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“…The project is caut iously allocating more than 10% of its total budget to adaptive optics. Last but not least, an aptly named MAD (Multi-conjugate Adaptive optics Demonstrator) instrument is currently under construction at ESO to demonstrate the viability of relatively wide-field AO correction [11]. On-sky results are expected early 2005 and will plausibly constitute a go-no-go milestone for Owl.…”

Section: Wavefront Control Functionmentioning

confidence: 99%

Progress of ESO's 100-m OWL optical telescope design

et al. 2004

Self Cite

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Even as a number of 8-to 10-m class telescopes come into operation worldwide, the scientific challenges these instruments and their space-based counterparts already address imply that future increases in lightgathering power and resolution will have to exceed conventional scaling factors. Indeed, it can be exp ected that the same progress in telescope diameter and resolution achieved throughout the century must now be realized within, at most, one or two decades. The technologies required to assert the validity of such an extrapolation appear to be within reach. Large telescopes successfully commissioned within the last decade have demonstrated key technologies such as active optics and segmentation. Furthermore, current design methods and fabrication processes imply that the technological challenge of constructing telescopes up to the 100-m range could, in some critical areas, be lower than those underlying, two decades ago, the design and construction of 8 -to 10-m class telescopes. At system level, however, such giants are no size-extrapolated fusion of VLT and Keck, but fully integrated adaptive systems. In this paper we elaborate on some of the science drivers behind the OWL concept of a 100-m telescope with integrated adaptive optics capability. We identify major conceptual differences with classical, non-adaptive telescopes, and derive design drivers accordingly. We also discuss critical system and fabrication aspects, and the possible timeline for the concept to be realized.

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“…However, for a sufficiently small volume, and over a sufficiently short period of time, the aberration can be considered constant, thus allowing us to use the same sets of parameters for wavefront correction. In astronomical adaptive optics, such a region is called an isoplanatic patch, or volume of stationarity [115].…”

Section: Cao Theorymentioning

confidence: 99%

Computational optical coherence tomography [Invited]

Liu

South

et al. 2017

Biomed. Opt. Express

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Optical coherence tomography (OCT) has become an important imaging modality with numerous biomedical applications. Challenges in high-speed, high-resolution, volumetric OCT imaging include managing dispersion, the trade-off between transverse resolution and depth-of-field, and correcting optical aberrations that are present in both the system and sample. Physics-based computational imaging techniques have proven to provide solutions to these limitations. This review aims to outline these computational imaging techniques within a general mathematical framework, summarize the historical progress, highlight the state-of-the-art achievements, and discuss the present challenges. Swanson, "Optical biopsy and imaging using optical coherence tomography," Nat. Med. 1(9), 970-972 (1995). 3. G. J. Tearney, M. E. Brezinski, B. E. Bouma, S. A. Boppart, C. Pitris, J. F. Southern, and J. G. Fujimoto, "In vivo endoscopic optical biopsy with optical coherence tomography," Science 276(5321), 2037-2039 (1997). 4. S. A. Boppart, B. E. Bouma, C. Pitris, J. F. Southern, M. E. Brezinski, and J. G. Fujimoto, "In vivo cellular optical coherence tomography imaging," Nat. Med. 4(7), 861-865 (1998). Sundaram, P. S. Ray, and S. A. Boppart, "Real-time imaging of the resection bed using a handheld probe to reduce incidence of microscopic positive margins in cancer surgery," Cancer Res. 75(18), 3706-3712 (2015). 9. J. G. Fujimoto and E. A. Swanson, "The development, commercialization, and impact of optical coherence tomography," Invest. Ophthalmol. Vis. Sci. 57(9), OCT1-OCT13 (2016). 10. A. M. Cormack, "Representation of a function by its line integrals, with some radiological applications. II," J.Appl. Phys. 35(10), 2722-2727 (1964). 11. G. N. Hounsfield, "Computerized transverse axial scanning (tomography). 1. Description of system," Br. J.Radiol. 46(552), 1016-1022 (1973). 12. P. C. Lauterbur, "Image formation by induced local interactions: examples employing nuclear magnetic resonance," Nature 242(5394), 190-191 (1973). 13. P. T. Gough and D. W. Hawkins, "Unified framework for modern synthetic aperture imaging algorithms," Int. J.Imaging Syst. Technol. 8(4), 343-358 (1997). shaping for optimal depth-selective focusing in optical coherence tomography," Opt. Express 21(3), 2890-2902 (2013 111-115 (1962). 77. L. Cutrona, E. Leith, C. Palermo, and L. Porcello, "Optical data processing and filtering systems," IRE Trans.Inf. Theory 6(3), 386-400 (1960). 78. L. J. Cutrona, E. N. Leith, L. J. Porcello, and E. W. Vivian, "On the application of coherent optical processing techniques to synthetic-aperture radar," Proc. IEEE 54(8), 1026-1032 (1966). 79. W. Brown and L. Porcello, "An introduction to synthetic-aperture radar," IEEE Spectr. 6(9), 52-62 (1969). 80. M. P. Hayes and P. T. Gough, "Broad-band synthetic aperture sonar," IEEE J. Oceanic Eng. 17(1), 80-94 (1992)

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MAD the ESO multi-conjugate adaptive optics demonstrator

Cited by 94 publications

References 6 publications

High-resolution in vivo imaging of mouse brain through the intact skull

High-resolution in vivo imaging of mouse brain through the intact skull

Progress of ESO's 100-m OWL optical telescope design

Computational optical coherence tomography [Invited]

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