Abstract: Methods and systems are provided for deblurring images. A neural network is trained where the training includes selecting a central training image from a sequence of blurred images. An earlier training image and a later training image are selected based on the earlier training image preceding the central training image in the sequence and the later training image following the central training image in the sequence and based on proximity of the images to the central training image in the sequence. A training output image is generated by the neural network from the central training image, the earlier training image, and the later training image. Similarity is evaluated between the training output image and a reference image. The neural network is modified based on the evaluated similarity. The trained neural network is used to generate a deblurred output image from a blurry input image.

Abstract: In certain embodiments, the invention provides a method of purifying a protein of interest from a mixture which comprises the protein of interest and one or more contaminants, comprising: a) subjecting the mixture to a first chromatography step; b) recovering the protein of interest in an elution solution; c) adding caprylic acid to the elution solution to form a contaminant precipitate; d) removing the contaminant precipitate from the elution solution; and e) subjecting the post-precipitated elution solution to a second chromatography column, thereby purifying the protein of interest.

Abstract: Various implementations relate generally to multi-sensor devices. Some implementations more particularly relate to a multi-sensor device including a ring of radially-oriented photosensors. Some implementations more particularly relate to a multi-sensor device that is orientation-independent with respect to a central axis of the ring. Some implementations of the multi-sensor devices described herein further include one or more additional sensors. For example, some implementations include an axially-directed photosensor. Some implementations also can include one or more temperature sensors configured to sense an exterior temperature, for example, an ambient temperature of an outdoors environment around the multi-sensor. Additionally or alternatively, some implementations include one or more of an infrared sensor or infrared sensors, a cellular communication circuit, and a GPS module.

Abstract: In certain embodiments, the invention provides a method of purifying a protein of interest from a mixture which comprises the protein of interest and one or more contaminants, said method comprising: a) subjecting the mixture to a first chromatography matrix, wherein the protein of interest binds to the first chromatography matrix; b) contacting the first chromatography matrix with a first wash solution which has a pH of at least 9.0, and does not comprise arginine or an arginine derivative; and c) eluting the protein of interest from the first chromatography matrix into an elution solution.

Abstract: Various implementations relate generally to a multi-sensor device. Some implementations more particularly relate to a multi-sensor device including a ring of radially-oriented photosensors. Some implementations more particularly relate to a multi-sensor device that is orientation-independent with respect to a central axis of the ring. Some implementations of the multi-sensor devices described herein also include one or more additional sensors. For example, some implementations include an axially-directed photosensor. Some implementations also can include one or more temperature sensors configured to sense an exterior temperature, for example, an ambient temperature of an outdoors environment around the multi-sensor. Additionally or alternatively, some implementations can include a temperature sensor configured to sense an interior temperature within the multi-sensor device. Particular implementations provide, characterize, or enable a compact form factor.

Abstract: The disclosure is directed to an element that is capable of acting as both an optical polarizer and an optical attenuator, thus integrating both functions into a single element. The element comprises a monolithic or one piece glass polarizer (herein also call the “substrate”), a multilayer “light attenuation or light attenuating” (“LA”) coating that has been optimized for use at selected wavelengths and attenuations deposited on at least one polarizer facial surface, and a multilayer anti-reflective (AR) coating on top of the LA coating. The disclosure is further directed to an integrated optical isolator/attenuator comprising a first and a second polarizing elements and a Faraday rotator for rotating light positioned after the first polarizing element and before the second polarizing element, the integrated optical isolator/attenuator both polarizing and attenuation a light beam from a light source.

Abstract: Methods and systems are provided for deblurring images. A neural network is trained where the training includes selecting a central training image from a sequence of blurred images. An earlier training image and a later training image are selected based on the earlier training image preceding the central training image in the sequence and the later training image following the central training image in the sequence and based on proximity of the images to the central training image in the sequence. A training output image is generated by the neural network from the central training image, the earlier training image, and the later training image. Similarity is evaluated between the training output image and a reference image. The neural network is modified based on the evaluated similarity. The trained neural network is used to generate a deblurred output image from a blurry input image.

Abstract: A method for coating substrates is provided. The method includes diamond turning a substrate to a surface roughness of between about 60 ? and about 100 ? RMS, wherein the substrate is one of a metal and a metal alloy. The method further includes polishing the diamond turned surface of the substrate to a surface roughness of between about 10 ? and about 25 ? to form a polished substrate, heating the polished substrate, and ion bombarding the substrate with an inert gas. The method includes depositing a coating including at least one metallic layer on the ion bombarded surface of the substrate using low pressure magnetron sputtering, and polishing the coating to form a finished surface having a surface roughness of less than about 25 ? RMS using a glycol based colloidal solution.

Abstract: A high-efficiency, multiwavelength beam-expander optical system that employs dielectric-enhanced mirrors is disclosed. Each mirror includes a reflective multilayer coating formed from alternating layers of HfO2 and SiO2 that define, in order from the substrate surface, at least first and second sections, wherein the HfO2/SiO2 layer thicknesses are generally constant within a given section and get smaller section by section moving outward from the substrate surface. The first and second sections are respectively configured to optimally reflect different operating wavelengths so that the beam-expander optical system has an optical transmission of greater than 95% at the different operating wavelengths.

Abstract: Methods and systems are provided for deblurring images. A neural network is trained where the training includes selecting a central training image from a sequence of blurred images. An earlier training image and a later training image are selected based on the earlier training image preceding the central training image in the sequence and the later training image following the central training image in the sequence and based on proximity of the images to the central training image in the sequence. A training output image is generated by the neural network from the central training image, the earlier training image, and the later training image. Similarity is evaluated between the training output image and a reference image. The neural network is modified based on the evaluated similarity. The trained neural network is used to generate a deblurred output image from a blurry input image.

Abstract: Various implementations relate generally to multi-sensor devices. Some implementations more particularly relate to a multi-sensor device including a ring of radially-oriented photosensors. Some implementations more particularly relate to a multi-sensor device that is orientation-independent with respect to a central axis of the ring. Some implementations of the multi-sensor devices described herein further include one or more additional sensors. For example, some implementations include an axially-directed photosensor. Some implementations also can include one or more temperature sensors configured to sense an exterior temperature, for example, an ambient temperature of an outdoors environment around the multi-sensor. Additionally or alternatively, some implementations include one or more of an infrared sensor or infrared sensors, a cellular communication circuit, and a GPS module.

Abstract: A detection method for an image acquisition device, a detection device for an image acquisition device, an electronic device and a computer readable storage medium are disclosed. The image acquisition device includes a light source and a diffuser, the diffuser is configured to scatter light emitted by the light source and the light emitted by the light source is irradiated on at least partial area of a scene, the image acquisition device includes: acquiring an image of the scene; determining an effective area of the image; and determining whether or not the diffuser is in an abnormal working state according to information of the effective area.

Abstract: A high-efficiency, multiwavelength beam-expander optical system that employs dielectric-enhanced mirrors is disclosed. Each mirror includes a reflective multilayer coating formed from alternating layers of HfO2 and SiO2 that define, in order from the substrate surface, at least first and second sections, wherein the HfO2/SiO2 layer thicknesses are generally constant within a given section and get smaller section by section moving outward from the substrate surface. The first and second sections are respectively configured to optimally reflect different operating wavelengths so that the beam-expander optical system has an optical transmission of greater than 95% at the different operating wavelengths.

Abstract: The present disclosure discloses a deep brain stimulation system having k focuses, which comprises: a first electrode and a second electrode, used for connecting one side of a brain scalp; a third electrode and a fourth electrode, used for connecting the other side of the brain scalp; and a first signal generation unit, a second signal generation unit, . . . , a (2k?1)th signal generation unit and a 2kth signal generation unit, wherein the k is a positive integer greater than or equal to 2; and each of the signal generation units is used for providing the following currents for the first electrode to the fourth electrode: a first current and a second current, which are interfered at a deep portion of a brain to form a first focus; and a (2k?1)th current and a 2kth current, which are interfered at the deep portion of the brain to form a kth focus; for the first current, the second current, . . .

Abstract: An optical element including an optically transparent lens which defines a curved surface having a steepness given by an R/# of from about 0.5 to about 1.0. A film is positioned on the curved surface. The film includes an index layer. A composite layer is positioned on the curved surface having a refractive index greater than the index layer. The composite layer includes HfO2 and Al2O3. The composite layer has a mole fraction X of HfO2, wherein X is from about 0.05 to about 0.95 and a mole fraction of Al2O3 in the composite layer is 1-X.

Abstract: Text region detection techniques and systems for digital images using image tag filtering are described. These techniques and systems support numerous advantages over conventional techniques through use of image tags to filter text region candidates. A computing device, for instance, may first generate text region candidates through use of a variety of different techniques, such as text line detection. The computing device then assigns image tags to the text region candidates. The assigned image tags are then used by the computing device to filter the text region candidates based on whether image tags assigned to respective candidates are indicative of text.

Abstract: In one aspect, a method, system, and/or computer program product is described for generating a graphical user interface for providing information and controlling optically switchable windows connected by a network. Windows are graphically represented using interactive smart objects that are placed within views of the graphical user interface in a manner corresponding to their physical location. In another aspect, a method, system, and/or computer program product is described for associating network IDs of optically switchable windows with the locations at which the windows are installed. Window locations are determined by analyzing received wireless transmissions that are sent from transmitters associated with each of the optically switchable windows. The determined locations are then compared with a representation of the building that provides the window locations.

Abstract: A method is disclosed of measuring a hollow object such as a pipe including temporarily attaching to that object a reference target support such as a stencil that supports a plurality of scannable reference targets. When scanning the object with a movable scanner, most conveniently a hand-held scanner, the reference targets provide a positional reference for the scanner. A reference target support that is attachable to or movable along a hollow object has a display face presenting and supporting a plurality of scannable reference targets. The display face can stand up from a surface of the object or can lie against a surface of the object. The reference target support and the scanner can be movable together along a pipe as an internal inspection pig.

Abstract: The present disclosure generally relates to infrared cloud detector systems and methods for detecting cloud cover conditions. The infrared cloud detector system comprises an infrared sensor, an ambient temperature sensor, and logic. The infrared sensor is configured to measure sky temperature based on infrared radiation received within its field-of-view. The ambient temperature sensor is configured to measure an ambient temperature. And the logic is configured to determine a cloud condition based on a difference between the measured sky temperature and the measured ambient temperature.

Abstract: An image processing method, an image processing device and a computer-readable storage medium. The image processing method includes: performing face detection on an input image to obtain original key points; performing distortion processing on the input image to obtain correction key points corresponding to the original key points of the input image; and performing deformation processing on the input image according to the correction key points and the original key points to obtain an output image.