Abstract: A digital exposure machine and an exposure control method thereof are disclosed. The exposure control method of the digital exposure machine includes: determining a scanning direction of the digital exposure machine, wherein a plurality of sub-pixels in an array include multiple rows of sub-pixels arranged in the scanning direction, the multiple rows of sub-pixels including a first row of sub-pixels in the scanning direction; determining a starting scanning position, the starting scanning position being located on an outer side of the first row of sub-pixels in the scanning direction; and performing a plurality of scannings to expose a display region of the first display substrate to be exposed, wherein a scanning pitch for each of the plurality of scannings is integer times of a pitch of two adjacent rows of sub-pixels of the first display substrate in the scanning direction.

Abstract: A mount for a telescope incorporates a worm gear assembly comprising: a worm wheel connected to a telescope holder, such that movement of the worm wheel about a wheel axis causes movement of the holder about the wheel axis; and a worm shaft having a worm body extending in a longitudinal direction and a thread extending in a spiral on the worm body around a worm axis orthogonal to the wheel axis. The worm shaft is supported by a base for rotational movement. The worm wheel comprises a plurality teeth for engaging the worm shaft thread, so that rotation of the worm shaft about the worm axis causes corresponding rotation of the worm wheel, and corresponding relative rotation between the holder and the base, about the wheel axis. The wheel body defines a plurality of elasticity-enhancing cutouts spaced apart from the wheel axis and extending through the wheel body.

Abstract: Systems and methods for denoising a magnetic resonance (MR) image utilize an unsupervised deep convolutional neural network (U-DCNN). Magnetic resonance (MR) image data of an area of interest of a subject can be acquired, which can include noisy input images that comprise noise data and noise free image data. For each of the noisy input images, iterations can be run of a converging sequence in an unsupervised deep convolutional neural network. In each iteration, parameter settings are updated; the parameter settings are used in calculating a series of image feature sets with the U-DCNN. The image feature sets predict an output image. The converging sequence of the U-DCNN is terminated before the feature sets predict a respective output image that replicates all of the noise data from the noisy input image. Based on a selected feature set, a denoised MR image of the area of interest of the subject can be output.

Abstract: A computerized system and method of modeling myocardial tissue perfusion can include acquiring a plurality of original frames of magnetic resonance imaging (MRI) data representing images of a heart of a subject and developing a manually segmented set of ground truth frames from the original frames. Applying training augmentation techniques to a training set of the originals frame of MRI data can prepare the data for training at least one convolutional neural network (CNN). The CNN can segment the training set of frames according to the ground truth frames. Applying the respective input test frames to a trained CNN can allow for segmenting an endocardium layer and an epicardium layer within the respective images of the input test frames. The segmented images can be used in calculating myocardial blood flow into the myocardium from segmented images of the input test frames.

Abstract: The present disclosure relates to a method and apparatus for automatic detection of anatomical sites from tomographic images.

Abstract: A liquid immersion cooling apparatus includes a box, a cover and a refrigeration device. The cover and the box form a closed space. The closed space includes a liquid storage space configured to accommodate a first coolant and at least one heat generating device and a gas storage space. The refrigeration device is located in the gas storage space. The refrigeration device includes a coiled tube, a liquid-cooled heat exchanger, and a cooling chip. The liquid-cooled heat exchanger is connected to the coiled tube to form a first circulation channel. The first circulation channel is configured to accommodate a second coolant. The cooling chip includes a hot end and a cold end, the cold end is thermally coupled to the liquid-cooled heat exchanger.

Abstract: In response to receiving a request for an identity key from a first entity, an identity key for the first entity is generated. A first request from the first entity to replicate a set of data is received. The generated identity key for the first entity is added to the metadata of the set of data requested to be replicated. A determination is made whether a replication rule exists for the first entity. In response to determining that a replication rule exists for the first entity, the set of data is replicated according to the replication rule for the first entity.

Abstract: Methods, computing devices, and magnetic resonance imaging systems that improve image quality in turbo spiral echo (TSE) imaging are disclosed. With this technology, a TSE pulse sequence is generated that includes a series of radio frequency (RF) refocusing pulses to produce a corresponding series of nuclear magnetic resonance (NMR) spin echo signals. A gradient waveform including a plurality of segments is generated. The plurality of segments collectively comprise a spiral ring retraced in-out trajectory. During an interval adjacent to each of the series of RF refocusing pulses, a first gradient pulse is generated according to the gradient waveform. The first gradient pulses encode the NMR spin echo signals. An image is then constructed from digitized samples of the NMR spin echo signals obtained based at least in part on the encoding.

Abstract: A micro spectrum chip based on units of random shapes, including. The micro spectrum chip include a CIS wafer and an optical modulation layer. The optical modulation layer includes several micro-nano structure units arranged on the surface of a photosensitive area of the CIS wafer. Each micro-nano structure unit includes a plurality of micro-nano structure arrays, and in each micro-nano structure unit, different micro-nano structure arrays are two-dimensional gratings composed of internal units of random shapes. In each micro-nano structure unit in this scheme, different micro-nano structure arrays have different shapes of internal units, and each group of micro-nano structure arrays have different modulation effects on lights with different wavelengths. The degree of freedom of “shape” is fully utilized to obtain a rich modulation effect on the incident light. A two-dimensional grating structure based on internal units of random shapes is utilized.

Abstract: The present invention relates to cereal grain comprising an aleurone, an embryo, a starchy endosperm and a reduced level and/or activity of a mitochondrial single-stranded DNA binding (mtSSB) polypeptide, a RECA3 polypeptide or a TWINKLE polypeptide. Grain of the invention, or aleurone therefrom, has improved nutritional properties, and hence is particularly useful for human and animal feed products.

Abstract: A reconstruction method for spectral image includes: obtaining a measurement image of an imaging object, and reconstructing and obtaining a spectral image of the imaging object according to the measurement image and a pre-calibrated sensing matrix. The spectral image includes spectral information at different position points of the imaging object. Through the method, defects of the time-consuming spectral image reconstruction method and the low resolution of the obtained spectral image in the related art can be overcame and the spectral image of the target imaging object can be obtained by reconstructing quickly and the obtained spectral image has high spatial resolution and no mosaic.

Abstract: An image collection chip, an object imaging recognition device and an object imaging recognition method are provided. The image collection chip comprises an optical modulation layer and an image sensing layer. The optical modulation layer is located on the image sensing layer. The optical modulation layer is provided with at least two modulation units and the image sensing layer is provided with sensing units corresponding to the at least two modulation units in a form of up and down. Each of the at least two modulation units is provided with at least one modulation subunit. Two or more modulation units among the at least two modulation units have different graphic structures, and the two or more modulation units having different graphic structures have different modulation roles on spectrum.

Abstract: A method and a system for measuring morphological parameters of an intracranial aneurysm image, the method comprises: segmenting an intracranial parent artery image from three-dimensional DICOM data of DSA (S101); segmenting the intracranial aneurysm image on the intracranial aneurysm image (S102); and measuring morphological parameters of the intracranial aneurysm image (S103). The method and the system for measuring the morphological parameters of the intracranial aneurysm image as disclosed may implement automated measurement of the intracranial aneurysm image, quickly measure morphological parameters of the intracranial aneurysm image, and guarantee consistency between measurements of morphological parameters of the aneurysm image.

Abstract: A method of forming a vertical transistor comprising a top source/drain region, a bottom source/drain region, a channel region vertically between the top and bottom source/drain regions, and a gate operatively laterally-adjacent the channel region comprises, in multiple time-spaced microwave annealing steps, microwave annealing at least the channel region. The multiple time-spaced microwave annealing steps reduce average concentration of elemental-form H in the channel region from what it was before start of the multiple time-spaced microwave annealing steps. The reduced average concentration of elemental-form H is 0.005 to less than 1 atomic percent. Structure embodiments are disclosed.

Abstract: A method of cardiac strain analysis uses displacement encoded magnetic resonance image (MRI) data of a heart of the subject and includes generating a phase image for each frame of the displacement encoded MRI data. Phase images include potentially phase-wrapped measured phase values corresponding to pixels of the frame. A convolutional neural network CNN computes a wrapping label map for the phase image, and the wrapping label map includes a respective number of phase wrap cycles present at each pixel in the phase image. Computing an unwrapped phase image includes adding a respective phase correction to each of the potentially-wrapped measured phase values of the phase image, and the phase correction is based on the number of phase wrap cycles present at each pixel. Computing myocardial strain follows by using the unwrapped phase image for strain analysis of the subject.

Abstract: Methods, computing devices, and MRI systems that reduce artifacts produced by Maxwell gradient terms in TSE imaging using non-rectilinear trajectories are disclosed. With this technology, a RF excitation pulse is generated to produce transverse magnetization that generates a NMR signal and a series of RF refocusing pulses to produce a corresponding series of NMR spin-echo signals. An original encoding gradient waveform comprising a non-rectilinear trajectory is modified by adjusting a portion of the original encoding gradient waveform or introducing a zero zeroth-moment waveform segment at end(s) of the original encoding gradient waveform. During an interval adjacent to each of the series of RF refocusing pulses a first gradient pulse is generated. At least one of the first gradient pulses is generated according to the modified gradient waveform. An image is constructed from generated digitized samples of the NMR spin-echo signals obtained.

Abstract: A spectral chip structure design method includes: obtaining an application-specific spectral library, and determining a spectral principal component based on the application-specific spectral library; performing non-negative processing on the spectral principal component to obtain a non-negative spectral principal component; and determining transmission spectra of the spectral chip structure based on the non-negative spectral principal component.

Abstract: Training a neural network to correct motion-induced artifacts in magnetic resonance images includes acquiring motion-free magnetic resonance image (MRI) data of a target object and applying a spatial transformation matrix to the motion-free MRI data. Multiple frames of MRI data are produced having respective motion states. A Non-uniform Fast Fourier Transform (NUFFT) can be applied to generate respective k-space data sets corresponding to each of the multiple frames of MRI; the respective k-space data sets can be combined to produce a motion-corrupted k-space data set and an adjoint NUFFT can be applied to the motion-corrupted k-space data set. Updated frames of motion-corrupted MRI data can be formed. Using the updated frames of motion corrupted MRI data, a neural network can be trained that generates output frames of motion free MRI data; and the neural network can be saved.

Abstract: Systems and methods are provided for upper extremity analysis and modeling using medical imaging. The systems and methods may be used to identify and segment both muscle and fatty tissue directly from the standard clinical images, and may be fully automated, thus providing rapid assessments back to the clinician and seamless integration into the clinical decision-making workflow.