180 research outputs found
Universal optimal transmission of light through disordered materials
We experimentally demonstrate increased transmission of light through
strongly scattering materials. Wavefront shaping is used to selectively couple
light to the open transport channels in the material, resulting in an increase
of up to 44% in the total transmission. The results for each of several
hundreds of experimental runs are in excellent quantitative agreement with
random matrix theory. Extrapolating our measurements to the limit of perfect
wavefront shaping, we find a universal transmission of 2/3, regardless of the
thickness of the sample.Comment: 10 pages, 4 figures. Accepted for publication in Phys. Rev. Let
Determination of the diffusion constant using phase-sensitive measurements
We apply a pulsed-light interferometer to measure both the intensity and the
phase of light that is transmitted through a strongly scattering disordered
material. From a single set of measurements we obtain the time-resolved
intensity, frequency correlations and statistical phase information
simultaneously. We compare several independent techniques of measuring the
diffusion constant for diffuse propagation of light. By comparing these
independent measurements, we obtain experimental proof of the consistency of
the diffusion model and corroborate phase statistics theory.Comment: 9 pages, 8 figures, submitted to Phys. Rev.
Focusing and Compression of Ultrashort Pulses through Scattering Media
Light scattering in inhomogeneous media induces wavefront distortions which
pose an inherent limitation in many optical applications. Examples range from
microscopy and nanosurgery to astronomy. In recent years, ongoing efforts have
made the correction of spatial distortions possible by wavefront shaping
techniques. However, when ultrashort pulses are employed scattering induces
temporal distortions which hinder their use in nonlinear processes such as in
multiphoton microscopy and quantum control experiments. Here we show that
correction of both spatial and temporal distortions can be attained by
manipulating only the spatial degrees of freedom of the incident wavefront.
Moreover, by optimizing a nonlinear signal the refocused pulse can be shorter
than the input pulse. We demonstrate focusing of 100fs pulses through a 1mm
thick brain tissue, and 1000-fold enhancement of a localized two-photon
fluorescence signal. Our results open up new possibilities for optical
manipulation and nonlinear imaging in scattering media
A versatile microarray platform for capturing rare cells
Analyses of rare events occurring at extremely low frequencies in body fluids are still challenging. We established a versatile microarray-based platform able to capture single target cells from large background populations. As use case we chose the challenging application of detecting circulating tumor cells (CTCs) - about one cell in a billion normal blood cells. After incubation with an antibody cocktail, targeted cells are extracted on a microarray in a microfluidic chip. The accessibility of our platform allows for subsequent recovery of targets for further analysis. The microarray facilitates exclusion of false positive capture events by co-localization allowing for detection without fluorescent labelling. Analyzing blood samples from cancer patients with our platform reached and partly outreached gold standard performance, demonstrating feasibility for clinical application. Clinical researchers free choice of antibody cocktail without need for altered chip manufacturing or incubation protocol, allows virtual arbitrary targeting of capture species and therefore wide spread applications in biomedical sciences
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
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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Speckle-scale focusing in the diffusive regime with time reversal of variance-encoded light (TROVE)
Focusing of light in the diffusive regime inside scattering media has long been considered impossible. Recently, this limitation has been overcome with time reversal of ultrasound-encoded light (TRUE), but the resolution of this approach is fundamentally limited by the large number of optical modes within the ultrasound focus. Here, we introduce a new approach, time reversal of variance-encoded light (TROVE), which demixes these spatial modes by variance encoding to break the resolution barrier imposed by the ultrasound. By encoding individual spatial modes inside the scattering sample with unique variances, we effectively uncouple the system resolution from the size of the ultrasound focus. This enables us to demonstrate optical focusing and imaging with diffuse light at an unprecedented, speckle-scale lateral resolution of ~5 µm
Wavefront shaping with disorder-engineered metasurfaces
Recently, wavefront shaping with disordered media has demonstrated optical manipulation capabilities beyond those of conventional optics, including extended volume, aberration-free focusing and subwavelength focusing. However, translating these capabilities to useful applications has remained challenging as the input–output characteristics of the disordered media (P variables) need to be exhaustively determined via O(P) measurements. Here, we propose a paradigm shift where the disorder is specifically designed so its exact input–output characteristics are known a priori and can be used with only a few alignment steps. We implement this concept with a disorder-engineered metasurface, which exhibits additional unique features for wavefront shaping such as a large optical memory effect range in combination with a wide angular scattering range, excellent stability, and a tailorable angular scattering profile. Using this designed metasurface with wavefront shaping, we demonstrate high numerical aperture (NA > 0.5) focusing and fluorescence imaging with an estimated ~2.2 × 10^8 addressable points in an ~8 mm field of view
Increasing Detection Performance of Surveillance Sensor Networks
We study a surveillance wireless sensor network (SWSN) comprised of small and low-cost sensors deployed in a region in order to detect objects crossing the field of interest.
In the present paper, we address two problems concerning the design and performance of an SWSN: optimal sensor placement and algorithms for object detection in the presence of false alarms. For both problems, we propose explicit decision rules and efficient algorithmic solutions. Further, we provide several numerical examples and present a simulation model that combines our placement and detection methods
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