98 Prof. Zalevsky Zeev Dean of Faculty of Engineering Member of BINA Nano-Photonics Center Research Areas • Super resolution • Nano-photonics • In-fiber devices • Fiber optics • Optical data processing • Diffractive optical elements and beam shaping • 3-D estimation • RF-photonics Abstract Topic 1: Nano Photonics and Plasmonics The ability to control the energy flow of light at the nanoscale is fundamental to modern communication and bigdata technologies, as well as quantum information processing schemes. However, since photons are diffraction-limited, efforts of confining them to dimensions of integrated electronics have so far proven elusive. A promising way to facilitate nanoscale manipulation of light is through plasmon polaritons—coupled excitations of photons and charge carriers. These tightly confined hybrid waves can facilitate compression of optical functionalities to the nanoscale but suffer from huge propagation losses that limit their use to mostly subwavelength scale applications. With only weak evidence of macroscale plasmon polaritons, propagation has recently been reported theoretically and indirectly, no experiments so far have directly resolved long-range propagating optical plasmons in real space. Here, we launch and detect nanoscale optical signals, for record distances in a wireless link based on novel plasmonic nanotransceivers. We use a combination of scanning probe microscopies to provide high resolution real space images of the optical near fields and investigate their long-range propagation principles. We design our nanotransceivers based on a high-performance nanoantenna, Plantenna, hybridized with channel plasmon waveguides with a crosssection of 20 nm × 20 nm, and observe propagation for distances up to 1000 times greater than the plasmon wavelength. We experimentally show that our approach hugely outperforms both waveguide and wireless nanophotonic links. This successful alliance between Plantenna and plasmon waveguides paves the way for new generations of optical interconnects and expedites long-range interaction between quantum emitters and photomolecular devices. Abstract Topic 2: All-Optical Silicon-Photonic Constellation Optical communication networks use electrical constellation converters requiring optical-electrical- optical conversions and expensive symbol-rate limiting electronics. In this paper, a generic method for alloptical silicon-photonic conversion of amplitude-phase modulation formats is proposed. The method is based on the implementation of single-layer radial basis function neural networks. Abstract Topic 3: Remote Sensing of Nano Vibrations We have developed a technological platform that can be used for remote sensing of Nano-vibrations which can be used for biomedical parameters estimation as well as for establishing a directional communication channel. The technology is based upon illuminating a surface with a laser and then using an imaging camera to perform temporal and spatial tracking of secondary speckle patterns to have Nano metric accurate estimation of the movement of the back-reflecting surface. If the back- reflecting surface is a skin located close to main blood arteries, then biomedical monitoring can be realized. If the surface is close to our neck or head then a directional communication channel can be established for remote, directional and noise isolated sensing of speech signals. The proposed technology was already applied for remote and continuous estimation of heart beats, respiration, blood pulse pressure, intra-ocular pressure (IOP), communication with ALS patients, estimation of alcohol and glucose concentrations in blood stream, blood coagulation and oximetry. Abstract Topic 4: Label Free Super Resolution We present new super resolution imaging methods for exceeding the diffraction limit, which is the fundamental limitation on the spatial resolution of any imaging system. This limitation stems from the physical nature of the optical waves. Super resolution techniques involve resolution enhancement of an image beyond this limitation. Super resolution methods are based on the understanding that high resolution spatial distribution can be obtained, if a priori information on the object exists. By utilizing this information, one may properly sacrifice it in order to achieve gain in the spatial domain. In our research we present super resolution methods that use either the time domain or the field of view domain. In time multiplexing super resolution, it is assumed that the object is stationary during the imaging process. Thus, it is possible to capture a sequence of images, and from them to extract the super resolution image. In field of view multiplexing it is assumed that the object is restricted in size and does not fill the entire field of view. Using this knowledge, the high-resolution data can be shifted to unused parts of the field of view, and pass through the system aperture.
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