Abstract: In an embodiment, an optical sensor includes (i) a first lens array including a plurality of first lenses, (ii) a photodetector array including a plurality of photodetectors each aligned with a respective one of the plurality of first lenses, and (iii) a plurality of signal-modifying elements each aligned with a respective one of the plurality of first lenses. The plurality of signal-modifying elements includes (a) a first signal-modifying optical element having a first spatially-dependent transmission function, and (b) a second signal-modifying optical element having a second spatially-dependent transmission function differing from the first spatially-dependent transmission function.

Abstract: In an embodiment, an optical sensor includes (i) a first lens array including a plurality of first lenses, (ii) a photodetector array including a plurality of photodetectors each aligned with a respective one of the plurality of first lenses, and (iii) a plurality of signal-modifying elements each aligned with a respective one of the plurality of first lenses. The plurality of signal-modifying elements includes (a) a first signal-modifying optical element having a first spatially-dependent transmission function, and (b) a second signal-modifying optical element having a second spatially-dependent transmission function differing from the first spatially-dependent transmission function.

Abstract: A computing device, method, system, and instructions in a non-transitory computer-readable medium for performing image analysis on 3D microscopy images to predict localization and/or labeling of various structures or objects of interest, by predicting the location in such images at which a dye or other marker associated with such structures would appear. The computing device, method, and system receives sets of 3D images that include unlabeled images, such as transmitted light images or electron microscope images, and labeled images, such as images captured with fluorescence tagging. The computing device trains a statistical model to associate structures in the labeled images with the same structures in the unlabeled light images. The processor further applies the statistical model to a new unlabeled image to generate a predictive labeled image that predicts the location of a structure of interest in the new image.

Abstract: A method for determining a localization parameter of an object includes generating a plurality of estimates of a first frequency-domain amplitude of a baseband signal from the object, each estimate corresponding one of a plurality of temporal segments of the baseband signal. The method also includes determining the first frequency-domain amplitude as most common value of the plurality of estimates, and determining the localization parameter therefrom. A localization system includes a memory and a microprocessor. The memory stores instructions and is configured to store a baseband signal having a temporal frequency component and a corresponding first frequency-domain amplitude. The microprocessor is adapted to execute the instructions to: (i) generate a plurality of estimates of the first frequency-domain amplitude each corresponding to a respective one of a plurality of temporal segments of the baseband signal, and (ii) determine the first frequency-domain amplitude as the most common value of the estimates.

Abstract: The invention relates to beneficial topical pharmaceutical compositions comprising diclofenac sodium in high amounts, and methods for their use. Said compositions represent emulsion-gels as well as gels with unique properties such as high skin penetration, no irritation, high stability, complete dissolution of the active and effective pain relief. The invention also provides methods for treating pain or inflammation in a mammalian subject in need thereof, including acute and chronic pain or inflammation; and kits therefor.

Abstract: A computing device, method, system, and instructions in a non-transitory computer-readable medium for performing image analysis on 3D microscopy images to predict localization and/or labeling of various structures or objects of interest, by predicting the location in such images at which a dye or other marker associated with such structures would appear. The computing device, method, and system receives sets of 3D images that include unlabeled images, such as transmitted light images or electron microscope images, and labeled images, such as images captured with fluorescence tagging. The computing device trains a statistical model to associate structures in the labeled images with the same structures in the unlabeled light images. The processor further applies the statistical model to a new unlabeled image to generate a predictive labeled image that predicts the location of a structure of interest in the new image.

Abstract: Concepts and technologies provided herein can provide high-definition voice for fixed mobile convergence on mobile and wireline networks. A processor executing instructions can detect a call request associated with a called telephone number to setup a call session, where the call request is initiated from a calling device associated with an originating network. The processor can determine a call path for the call session from the originating network to a receiving network. The processor can create a fixed mobile convergence request to alert an electronic number mapping system of the call path for the call session from the originating network to the receiving network. The electronic number mapping system can provide a network presence map identifying a plurality of call receiving devices associated with the called telephone number that are available to participate in the call session via the receiving network.

Abstract: Concepts and technologies provided herein can provide high-definition voice for fixed mobile convergence on mobile and wireline networks. A processor executing instructions can detect a call request associated with a called telephone number to setup a call session, where the call request is initiated from a calling device associated with an originating network. The processor can determine a call path for the call session from the originating network to a receiving network. The processor can create a fixed mobile convergence request to alert an electronic number mapping system of the call path for the call session from the originating network to the receiving network. The electronic number mapping system can provide a network presence map identifying a plurality of call receiving devices associated with the called telephone number that are available to participate in the call session via the receiving network.

Abstract: An apparatus for a hybrid tracking and mapping is described herein. The apparatus includes logic to determine a plurality of depth sensing techniques. The apparatus also includes logic to vary the plurality of depth sensing techniques based on a camera configuration. Additionally, the apparatus includes logic to generate a hybrid tracking and mapping pipeline based on the depth sensing techniques and the camera configuration.

Abstract: A computing device, method, system, and instructions in a non-transitory computer-readable medium for performing image analysis on 3D microscopy images to predict localization and/or labeling of various structures or objects of interest, by predicting the location in such images at which a dye or other marker associated with such structures would appear. The computing device, method, and system receives sets of 3D images that include unlabeled images, such as transmitted light images or electron microscope images, and labeled images, such as images captured with fluorescence tagging. The computing device trains a statistical model to associate structures in the labeled images with the same structures in the unlabeled light images. The processor further applies the statistical model to a new unlabeled image to generate a predictive labeled image that predicts the location of a structure of interest in the new image.

Abstract: An apparatus for a hybrid tracking and mapping is described herein. The apparatus includes logic to determine a plurality of depth sensing techniques. The apparatus also includes logic to vary the plurality of depth sensing techniques based on a camera configuration. Additionally, the apparatus includes logic to generate a hybrid tracking and mapping pipeline based on the depth sensing techniques and the camera configuration.

Abstract: Concepts and technologies provided herein can provide high-definition voice for fixed mobile convergence on mobile and wireline networks. A processor executing instructions can detect a call request associated with a called telephone number to setup a call session, where the call request is initiated from a calling device associated with an originating network. The processor can determine a call path for the call session from the originating network to a receiving network. The processor can create a fixed mobile convergence request to alert an electronic number mapping system of the call path for the call session from the originating network to the receiving network. The electronic number mapping system can provide a network presence map identifying a plurality of call receiving devices associated with the called telephone number that are available to participate in the call session via the receiving network.

Abstract: A method for determining a localization parameter of an object includes generating a plurality of estimates of a first frequency-domain amplitude of a baseband signal from the object, each estimate corresponding one of a plurality of temporal segments of the baseband signal. The method also includes determining the first frequency-domain amplitude as most common value of the plurality of estimates, and determining the localization parameter therefrom. A localization system includes a memory and a microprocessor. The memory stores instructions and is configured to store a baseband signal having a temporal frequency component and a corresponding first frequency-domain amplitude. The microprocessor is adapted to execute the instructions to: (i) generate a plurality of estimates of the first frequency-domain amplitude each corresponding to a respective one of a plurality of temporal segments of the baseband signal, and (ii) determine the first frequency-domain amplitude as the most common value of the estimates.

Abstract: A coded localization system includes a plurality of optical channels arranged to cooperatively distribute electromagnetic energy from at least one object onto a plurality of detectors. Each of the channels includes a localization code that is different from any other localization code in other channels, to modify electromagnetic energy passing therethrough. Digital outputs from the detectors are processable to determine sub-pixel localization of the object onto the detectors, such that a location of the object is determined more accurately than by detector geometry alone. Another coded localization system includes a plurality of optical channels arranged to cooperatively distribute a partially polarized signal onto a plurality of pixels. Each of the channels includes a polarization code that is different from any other polarization code in other channels to uniquely polarize electromagnetic energy passing therethrough. Digital outputs from the detectors are processable to determine a polarization pattern.

Abstract: An angular localization system for determining an object's location includes a signal processor and three channels have a respective first, second, and third photodetector. The first channel images a first portion of an optical signal from which the first photodetector generates a first electrical signal. The second channel images a second portion of the optical signal onto a slow-varying optical mask having a strictly monotonic transmissivity along a dimension x. The second photodetector converts the second portion into a second electrical signal. The third channel images a third portion of the optical signal onto a fast-varying optical mask having a spatially-varying transmissivity having a same value at more than one value of x. The third photodetector converts the third portion into a third electrical signal. The signal processor is configured to determine, from each electrical signal, a respective signal amplitude, and determine the location parameter by comparing the signal amplitudes.

Abstract: A coded localization system includes a plurality of optical channels arranged to cooperatively distribute electromagnetic energy from at least one object onto a plurality of detectors. Each of the channels includes a localization code that is different from any other localization code in other channels, to modify electromagnetic energy passing therethrough. Digital outputs from the detectors are processable to determine sub-pixel localization of the object onto the detectors, such that a location of the object is determined more accurately than by detector geometry alone. Another coded localization system includes a plurality of optical channels arranged to cooperatively distribute a partially polarized signal onto a plurality of pixels. Each of the channels includes a polarization code that is different from any other polarization code in other channels to uniquely polarize electromagnetic energy passing therethrough. Digital outputs from the detectors are processable to determine a polarization pattern.

Abstract: In an embodiment, an optical sensor includes (i) a first lens array including a plurality of first lenses, (ii) a photodetector array including a plurality of photodetectors each aligned with a respective one of the plurality of first lenses, and (iii) a plurality of signal-modifying elements each aligned with a respective one of the plurality of first lenses. The plurality of signal-modifying elements includes (a) a first signal-modifying optical element having a first spatially-dependent transmission function, and (b) a second signal-modifying optical element having a second spatially-dependent transmission function differing from the first spatially-dependent transmission function.

Abstract: Embodiments disclosed herein generally relate to a method, computer program product, and system to seamlessly integrate a multimedia presentation with triggered content provided using one or more external devices. The method includes processing a presentation script that specifies (i) one or more accessible audiovisual content items and (ii) a sequence of the audiovisual content items for presentation during the multimedia presentation. The method also includes transmitting the one or more audiovisual content items to one or more audiovisual output devices according to the sequence, and transmitting control signals to the one or more external devices to operate the external devices according to timing information included in the presentation script and with reference to at least one of the audiovisual content items, thereby seamlessly integrating content provided using the external devices with the multimedia presentation.

Abstract: The invention relates to beneficial topical pharmaceutical compositions comprising diclofenac sodium in high amounts, and methods for their use. Said compositions represent emulsion-gels as well as gels with unique properties such as high skin penetration, no irritation, high stability, complete dissolution of the active and effective pain relief. The invention also provides methods for treating pain or inflammation in a mammalian subject in need thereof, including acute and chronic pain or inflammation; and kits therefor.

Abstract: A method and apparatus for banding rolls of bags is disclosed. It can include a bag machine and/or a winder as the source of rolls. The bander includes multiple banding stations. The source of rolls provides rolls at a faster rate than any banding station can apply bands. By selectively using each banding station the bander can have the same throughput as the source of rolls of bags.