214 research outputs found
Exploiting disorder for perfect focusing
We demonstrate experimentally that disordered scattering can be used to
improve, rather than deteriorate, the focusing resolution of a lens. By using
wavefront shaping to compensate for scattering, light was focused to a spot as
small as one tenth of the diffraction limit of the lens. We show both
experimentally and theoretically that it is the scattering medium, rather than
the lens, that determines the width of the focus. Despite the disordered
propagation of the light, the profile of the focus was always exactly equal to
the theoretical best focus that we derived.Comment: 4 pages, 4 figure
Calculating coherent light-wave propagation in large heterogeneous media
Understanding the interaction of light with a highly scattering material is
essential for optical microscopy of optically thick and heterogeneous
biological tissues. Ensemble-averaged analytic solutions cannot provide more
than general predictions for relatively simple cases. Yet, biological tissues
contain chiral organic molecules and many of the cells' structures are
birefringent, a property exploited by polarization microscopy for label-free
imaging. Solving Maxwell's equations in such materials is a notoriously hard
problem. Here we present an efficient method to determine the propagation of
electro-magnetic waves in arbitrary anisotropic materials. We demonstrate how
the algorithm enables large scale calculations of the scattered light field in
complex birefringent materials, chiral media, and even materials with a
negative refractive index
Dependent Microstructure Noise and Integrated Volatility: Estimation from High-Frequency Data
In this paper, we develop econometric tools to analyze the integrated volatility (IV) of the efficient price and the dynamic properties of microstructure noise in high-frequency data under general dependent noise. We first develop consistent estimators of the variance and autocovariances of noise using a variant of realized volatility. Next, we employ these estimators to adapt the pre-averaging method and derive consistent estimators of the IV, which converge stably to a mixed Gaussian distribution at the optimal rate n1/4. To improve the finite sample performance, we propose a multi-step approach that corrects the finite sample bias, which turns out to be crucial in applications. Our extensive simulation studies demonstrate the excellent performance of our multi-step estimators. In an empirical study, we analyze the dependence structures of microstructure noise and provide intuitive economic interpretations; we also illustrate the importance of accounting for both the serial dependence in noise and the finite sample bias when estimating IV
Time-reversed adapted-perturbation (TRAP) optical focusing onto dynamic objects inside scattering media
The ability to steer and focus light inside scattering media has long been sought for a multitude of applications. At present, the only feasible strategy to form optical foci inside scattering media is to guide photons by using either implanted or virtual guide stars, which can be inconvenient and limits the potential applications. Here we report a scheme for focusing light inside scattering media by employing intrinsic dynamics as guide stars. By adaptively time-reversing the perturbed component of the scattered light, we show that it is possible to focus light to the origin of the perturbation. Using this approach, we demonstrate non-invasive dynamic light focusing onto moving targets and imaging of a time-variant object obscured by highly scattering media. Anticipated applications include imaging and photoablation of angiogenic vessels in tumours, as well as other biomedical uses
Translation correlations in anisotropically scattering media
Controlling light propagation across scattering media by wavefront shaping
holds great promise for a wide range of communications and imaging
applications. However, finding the right wavefront to shape is a challenge when
the mapping between input and output scattered wavefronts (i.e. the
transmission matrix) is not known. Correlations in transmission matrices,
especially the so-called memory-effect, have been exploited to address this
limitation. However, the traditional memory-effect applies to thin scattering
layers at a distance from the target, which precludes its use within thick
scattering media, such as fog and biological tissue. Here, we theoretically
predict and experimentally verify new transmission matrix correlations within
thick anisotropically scattering media, with important implications for
biomedical imaging and adaptive optics.Comment: main article (18 pages) and appendices (6 pages
High-fidelity multimode fibre-based endoscopy for deep brain in vivo imaging
Progress in neuroscience constantly relies on the development of new
techniques to investigate the complex dynamics of neuronal networks. An ongoing
challenge is to achieve minimally-invasive and high-resolution observations of
neuronal activity in vivo inside deep brain areas. A perspective strategy is to
utilise holographic control of light propagation in complex media, which allows
converting a hair-thin multimode optical fibre into an ultra-narrow imaging
tool. Compared to current endoscopes based on GRIN lenses or fibre bundles,
this concept offers a footprint reduction exceeding an order of magnitude,
together with a significant enhancement in resolution. We designed a compact
and high-speed system for fluorescent imaging at the tip of a fibre, achieving
micron-scale resolution across a 50 um field of view, and yielding 7-kilopixel
images at a rate of 3.5 frames/s. Furthermore, we demonstrate in vivo
observations of cell bodies and processes of inhibitory neurons within deep
layers of the visual cortex and hippocampus of anesthetised mice. This study
forms the basis for several perspective techniques of modern microscopy to be
delivered deep inside the tissue of living animal models while causing minimal
impact on its structural and functional properties.Comment: 10 pages, 2 figures, Supplementary movie:
https://drive.google.com/file/d/1Fm0G3TAIC49LVX6FaEiAtlefkWx1T2a5/vie
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