An electronic device comprises a display, an illumination source, a camera, and a logic system. The illumination source is configured to project structured illumination onto a subject. The camera is configured to image the subject through the display, which includes collecting the structured illumination as reflected by the subject. The logic system is configured to receive, from the camera, a digital image of the subject imaged through the display. The logic system is further configured to sharpen the digital image based on the spatially resolved intensity of the structured illumination as reflected by the subject.

A method and a system for measuring intra-site heterogeneity in a tumor using magnetic resonance imaging (MRI). The method includes acquiring magnetic resonance (MR) images using MRI modality; segmenting tumor sites in the MR images; dividing each of the tumor sites into a plurality of sub-regions; deriving image biomarkers from each voxel or pixel in the plurality of sub-regions; classifying each voxel or pixel in the plurality of sub-regions into genotypes or molecular subtypes based on the extracted image biomarkers and a classifier model including associations between image biomarkers and genotypes or molecule subtypes; creating a distribution of genotypes or molecular subtypes in the each of the plurality of sub-regions based on classifications of voxels or pixels; generating spatial information of genotypes or molecular subtypes in the tumor sites based on the distribution; and measuring intra-site heterogeneity in the tumor sites.

A label-free optical device for near real time quantification of the multifractal micro-optical properties of a sample includes a source of broadband light; a tunable filter that receives at least a portion of the broadband light and then transmits narrowband light, whereby a specific band of light is selected to avoid unwanted absorption of light by the sample; where the narrowband light is configured to illuminate a selected area of the sample, and in response elastically-scattered light is dispersed from the sample; a light collection device configured to collect at least some of the elastically-scattered light; where at least some of the collected elastically-scattered light is configured to be transmitted to a detector by the light collection device, and the detector is configured to record a light scattering signal; and where the detector is configured to perform light scattering signal measurements at multiple angles or wavelengths to determine a refractive index multifractality of the sample.

A method of generating hologram data in a holographic display apparatus, including a hologram processing device generating hologram data and a display terminal reconstructing a hologram image in a three-dimensional (3D) space on the basis of the generated hologram data, includes generating depth map image data from input image data by using a deep learning engine for generating a depth map and calculating a complex value hologram on the basis of the depth map image data and the input image data to generate the hologram data.

A diagnostic support program that is possible to display a movement of an organ is provided.

A diagnostic support program that analyzes images of an organ of a human and displays analysis results, the program causing a computer to execute a process comprising: processing of acquiring a plurality of frame images, processing of calculating a cyclic change that characterizes a state of an organ between each of the frame images, processing of Fourier-transforming the cyclic change that characterizes the state of the organ, processing of extracting a spectrum in a fixed band including a spectrum corresponding to a frequency of a movement of an organ out of a spectrum obtained after the Fourier-transforming, processing of performing inverse Fourier transform on the spectrum extracted from the fixed band, and processing of outputting each of the images after performing the inverse Fourier transform, is provided.

A method for forming an image of an object, a computer program product, and an image forming system for carrying out the method are provided. In the method, data about the object are provided by a first data processing device, and a first data record with first data is provided. The first data record is loaded from the first data processing device into a second data processing device. A second data record is loaded from a data memory into the second data processing device in dependence on the first data record loaded into the second data processing device. A processing data record is generated or detected based on the second data record. A two-dimensional output image of the object is generated by processing the data about the object with the processing data record, the output image having a predeterminable number of output image pixels.

An image pickup apparatus includes a lens, an image pickup device, and a processor. The processor acquires a plurality of pieces of first image data and second image data with an exposure time period longer than an exposure time period of the first image data from the image pickup device, detects a motion region by using the first image data and the second image data, and acquires motion detection information by using the plurality of pieces of first image data. The processor changes a synthesis method in accordance with whether the motion region is detected and generates one piece of synthesized image data.

Systems and methods herein describe a metadata verification system that is configured to access a digital satellite image, generate a first discrete Fourier transform (DFT) pattern based on an ortho-rectified digital satellite image, generate a second DFT pattern based on rational polynomial coefficient (RPC) data of the digital satellite image, compare the first DFT pattern to the second DFT pattern, generate a score based on the comparison, and generate a determination of whether the digital satellite image has been manipulated based on the score.

Motion contaminated magnetic resonance (MR) images for training an artificial neural network to remove motion artifacts from the MR images are difficult to obtain. Described herein are systems, methods, and instrumentalities for injecting motion artifacts into clean MR images and using the artificially contaminated images for machine learning and neural network training. The motion contaminated MR images may be created based on clean source MR images that are associated with multiple physiological cycles of a scanned object, and by deriving MR data segments for the multiple physiological cycles based on the source MR images. The MR data segments thus derived may be combined to obtain a simulated MR data set, from which one or more target MR images may be generated to exhibit a motion artifact. The motion artifact may be created by manipulating the source MR images and/or controlling the manner in which the MR data set or the target MR images are generated.

A system includes a processing unit communicatively coupled to a detector array of an optical wafer characterization system. The processing unit is configured to perform one or more steps of a method or process including the steps of acquiring one or more target images of a target location on a wafer from the detector array, applying a de-noising filter to at least the one or more target images, determining one or more difference images from one or more reference images and the one or more target images, and up-sampling the one or more difference images to generate one or more up-sampled images. One or more wafer defects are detectable in the one or more difference images or the up-sampled images.