Abstract: Provided are a video transmission delay measurement method testing an under-test system having an under-test system input port and an under-test system output port and comprising the following steps: generating an original test video and outputting the original test video to the under-test system input port of the under-test system, wherein the original test video has a central time corresponding to a video generating time at which the original test video is generated; receiving a played test video from the under-test system output port of the under-test system, wherein the played test video corresponds to the original test video and the played test video has the central time corresponding to the video generating time at which the original test video is generated; obtaining the central time of the played test video; calculating a time difference between a current time and the central time of the under-test system.

Abstract: Improvements in image quality can be obtained by leveraging non-linear neural-network based feature recovery across multiple imaging modalities. Input imaging data is acquired, including first imaging data and second imaging data acquired using different imaging modalities. The first imaging data can have lower image quality and a larger FOV than the second imaging data. The first and second imaging data can be aligned and the aligned regions can be used to train a neural network to minimize the difference between the second imaging data and output data processed from the overlapping portion of the first imaging data. Once trained, the neural network can be used to generate improved image quality output from all of the first imaging data.

Abstract: Improved (e.g., high-throughput, low-noise, and/or low-artifact) X-ray Microscopy images are achieved using a deep neural network trained via an accessible workflow. The workflow involves selection of a desired improvement factor (x), which is used to automatically partition supplied data into two or more subsets for neural network training. The neural network is trained by generating reconstructed volumes for each of the subsets. The neural network can be trained to take projection images or reconstructed volumes as input and output improved projection images or improved reconstructed volumes as output, respectively. Once trained, the neural network can be applied to the training data and/or subsequent data—optionally collected at a higher throughput—to ultimately achieve improved de-noising and/or other artifact reduction in the reconstructed volume.

Abstract: A method of enhancing a resolution of an EDS image of a sample includes generating an EDS image of the sample, generating a non-EDS image of the sample generating, using a machine learning algorithm, an enhanced resolution EDS image of the sample based on the generated feature map and based on the first EDS image, where a resolution of the enhanced resolution EDS image is higher than a resolution of the first EDS image.

Abstract: Techniques are described for recovering and applying an overlay over video while using a screen remoting application with chroma subsampling. At a server system hosting a screen remoting application, a screen image is constructed in which a video region is replaced with a display pattern of alternating pixel blocks of contrasting colors, and an overlay is drawn in the video region. The overlay includes an element that at least partially occludes the display pattern. After chroma subsampling is performed on the screen image, encoded data for the screen image is sent to a client computing device. The client computing device reconstructs the screen image, processes the screen image to generate an output overlay image, and renders the output overlay image on top of video in the video region.

Abstract: A nail file includes a body having a first section and a second section with a defined curvature, wherein the curvature defines a convex upper surface and a concave lower surface. The body curvature defines a longitudinal length curved about an axis. A first enlarged longitudinal side is located along a side of both sections of the body that is configured to extend outward beyond the surface of the body. The enlarged longitudinal side includes a surface treatment to aid in filing nails. The body includes a surface treatment upon the upper surface and the lower surface. The enlarged longitudinal side forms a crease or internal corner with at least the upper surface of the body.

Abstract: Provided are a video transmission delay measurement method testing an under-test system having an under-test system input port and an under-test system output port and comprising the following steps: generating an original test video and outputting the original test video to the under-test system input port of the under-test system, wherein the original test video has a central time corresponding to a video generating time at which the original test video is generated; receiving a played test video from the under-test system output port of the under-test system, wherein the played test video corresponds to the original test video and the played test video has the central time corresponding to the video generating time at which the original test video is generated; obtaining the central time of the played test video; calculating a time difference between a current time and the central time of the under-test system.

Abstract: Multivariant feature extraction is used for training volumes or 2D images, (real or synthetic) coupled to process (effective) values probably obtained from direct simulation. These features are coupled with machine learning/regression algorithms to make a predictive model for the effective property. This model can then be used on a real geometry of a sample for effective parameter prediction.

Abstract: In a method for authenticating a user, a processor receives a login request for an application. A processor directs the login request to a collection page. The collection page may include an authentication script. A processor receives a risk assessment based on an identity authenticated through the authentication script. A processor grants a level of access to the application based on the risk assessment.

Abstract: A product label printing and checking system, comprising data processing means configured to: control the printing of product labels; control the acquisition and reception of images of the printed labels by an image acquisition device such as an optical scanner; and check the printed labels for defects, wherein each printed label accords with a label format specification for that label, whereby the label has a common layout and comprises printed product-related information located in one or more regions on the label, wherein the data processing means includes a label checking module in which there is provided a reference image of the label, and the checking module is configured so that the acquired images are sequentially compared against the reference image according to pre-determined quality control indicators relating to the expected information content and location in the label regions, and wherein the label is flagged for review or rejection if it is non-compliant.

Abstract: Improved (e.g., high-throughput, low-noise, and/or low-artifact) X-ray Microscopy images are achieved using a deep neural network trained via an accessible workflow. The workflow involves selection of a desired improvement factor (x), which is used to automatically partition supplied data into two or more subsets for neural network training. The neural network is trained by generating reconstructed volumes for each of the subsets. The neural network can be trained to take projection images or reconstructed volumes as input and output improved projection images or improved reconstructed volumes as output, respectively. Once trained, the neural network can be applied to the training data and/or subsequent data—optionally collected at a higher throughput—to ultimately achieve improved de-noising and/or other artifact reduction in the reconstructed volume.

Abstract: An apparatus for scanning and decoding barcodes includes an imager, a sample imaging area, and a processor. The imager is configured to capture images within a selectable field of view. The sample imaging area is configured to support a plurality of sample/tissue containers. Each sample/tissue container of the plurality of sample/tissue containers comprises a respective barcode. At least a portion of the plurality of sample/tissue containers are positioned within the field of view, such that a plurality of the respective barcodes is within the field of view. The processor is configured to receive captured images from the imager. The processor is configured to detect and decode each of the plurality of respective barcodes present in a first image of the captured images. The processor is also configured to define an associated region of interest for each barcode present in the first image.

Abstract: Embodiments of the present disclosure are directed to methods for recycling waste ion exchange materials comprising a first alkali metal salt and a second alkali metal salt comprising reducing the size of the waste ion exchange materials to produce a plurality of waste ion exchange particles having particle sizes from 0.10 mm to 5.0 mm, and regenerating the plurality of waste ion exchange particles to produce a plurality of regenerated ion exchange particles having a concentration of the first alkali metal salt greater than a concentration of the first alkali metal salt in the waste ion exchange materials. Systems for recycling a waste ion exchange materials comprising a first alkali metal salt and a second alkali metal salt are also disclosed.

Abstract: A hot fairing structure for a pre-diffuser includes a ring-strut-ring structure that comprises a multiple of hollow struts and a multiple of inlets to a respective diffusion passage, one of the multiple of inlets formed between each one of the multiple of hollow struts located between two diffusion passages.

Abstract: A x-ray micro tomography system provides the ability to proscriptively determine regularization parameters for iterative reconstruction of a sample, from projection data of the sample. This allows a less experienced operator to determine the regularization parameters with adequate precision.

Abstract: A method of making a dry cell culture media powder is provided, the method including providing dry ingredients of a desired cell culture media; mixing the dry ingredients with an aqueous solution to form a paste; drying the paste to form a dehydrated media product; and milling the dehydrated media product to achieve the dry cell culture media powder of a desired particle size. A dry cell culture media powder is also provided that is rapidly dissolving, pH pre-adjusted, and pre-buffered.

Abstract: A multi scale material segmentation method is provided that creates markers to identify unique particles, for small and large particles independently, and then separately processes those markers.

Abstract: A mineral characterization method for an x-ray CT system comprises generating one or more volume datasets of a sample and identifying phases in the sample by correcting the datasets based on simulations. This can be employed with a polychromatic x-ray simulation and a highly controlled and well scaled implementation of analytical reconstruction to index materials of known composition to reconstructed grayscale intensities. An example of an application of this technology is in the field of mineral characterization on geoscience samples, where a single sample may consist of many individual mineral phases, of unknown distribution. Also addressed is a workflow for data correction and calibration such that acquisition related uncertainties are minimized and reconstructed intensity robustness maximized. This is achieved when some material of known transmission is in the field of view for every projection to create a reference path.

Abstract: An x-ray minerology analysis system includes a sample assembly for an x-ray microscopy system. It comprises an outer tube and a bottom plug sealing an inner bore of the outer tube, wherein the outer tube contains powder to be analysed by the x-ray microscopy system.

Abstract: An x-ray microscopy method that obtains a classification of different particles by distinguishing between different material phases through a combination of image processing involving morphological edge enhancement and possibly resolved absorption contrast differences between the phases along with optional wavelet filtering.