Abstract: A laser collimation- measuring system, including: a first laser source; a second laser source; a light combining device; a collimator; and a light divergence device. The first laser source and the second laser source emit a first laser and a second laser, respectively, to the light combining device. The first laser and the second laser are transmitted through the light combining device as a third laser and a fourth laser, respectively, and the third laser partially overlaps the fourth laser. The collimator is disposed in a light path of the third and fourth lasers and positioned between the light combining device and the laser divergence device. The laser collimation-measuring system enhances intensity of the laser collimation-measuring system.

Abstract: Neural network based substitutional end-to-end (E2E) image compression (NIC) being performed by at least one processor and includes receiving an input image to an E2E NIC framework, determining a substitute image based on a training model of the E2E NIC framework, encoding the substitute image to generate a bitstream, mapping the substitute image to the bitstream to generate a compressed representation of the input image. Further, the input may be partitioned into blocks for which a substitute representation is determined for each block and each block is encoded instead of the entire substitute image.

Abstract: The present disclosure provides a chip, a microfluidic device including the chip, and a method for sorting target droplets. The chip includes a first container for accommodating a first fluid, a second container for accommodating a second fluid, a delivery channel including a first flow channel communicating with the first container and a second flow channel communicating with the second container, the first flow channel and the second flow channel intersecting and communicating with each other at a junction, and at least one collector. A portion of the first flow channel includes the junction and is divided into two sections by the junction, in each section, the section thickens gradually along a first direction away from the junction. The second flow channel includes the junction and is divided into two sections by the junction, in each section, the section thickens gradually along a second direction away from the junction.

Abstract: Neural network based substitutional end-to-end (E2E) image compression (NIC) being performed by at least one processor and includes receiving an input image to an E2E NIC framework, determining a step size of the input image indicating a learning rate of a training model, determining a substitute image based on the training model, encoding the substitute image in lieu of the input image to generate a bitstream, and mapping the substitute image to the bitstream to generate a compressed representation. Further, step size may be determined by a scheduler and change throughout the training of the training model. The image may also be split into patches for which a scheduler is assigned for each patch and each patch is encoded instead of the entire input image.

Abstract: A method of video decoding at a video decoder can include receiving one or more syntax elements associated with a current first block that belongs to a plurality of first blocks partitioned from a picture, the one or more syntax elements indicating an optimal partition indicating how the current first block is partitioned into second blocks for intra-prediction, a set of block selection signals, wherein the current first block is re-partitioned into third blocks, each block selection signal corresponds to one of the third blocks and indicates whether the respective third block is coded using a first coding method or a second coding method, and a set of compressed representations each corresponding to one of the third blocks. The current first block can be reconstructed based on the one or more syntax elements to generate a reconstructed current first block.

Abstract: Neural image compression with adaptive intra-prediction is performed by at least one processor and includes receiving an optimal partition and a compressed representation of an input comprising a first set of blocks, for each block in the first set of blocks, receiving a block selection signal indicating one of a first recovered block and a second recovered block as a currently recovered block, and based on the received block selection signal, performing one of a first recovery and a second recovery, and merging the currently recovered blocks to obtain a reconstructed image. The first recovery comprises compute the first recovered block based on a respective block in the first set of blocks directly. The second recovery comprises generating a recovered residual based on a computed residual, partitioning the first predicted block and adding the recovered residual to obtain the second recovered block.

Abstract: A method of task-adaptive pre-processing (TAPP) for neural image compression is performed by at least one processor and includes generating a substitutional image, based on an input image, using a TAPP neural network, and encoding the generated substitutional image to generate a compressed representation, using a first neural network.

Abstract: The present disclosure provides an active pixel sensor and a flat panel detector. The active pixel sensor includes: a light sensing device configured to convert light sensed by the light sensing device into charges and supply the charges to a floating diffusion node; an amplification sub-circuit configured to amplify a signal according to a potential at the floating diffusion node and output the amplified signal through the output terminal; an adjustment sub-circuit configured to adjust, in response to a first control signal, a conversion gain from an amount of the light sensed by the light sensing device to the potential at the floating diffusion node; and a read sub-circuit configured to transmit a voltage of the input terminal of the read sub-circuit to the output terminal of the read sub-circuit according to a scan signal provided by the scan line.

Abstract: A method of decoding an image with latent feature-domain intra-prediction is performed by at least one processor and includes receiving a set of latent blocks and for each of the blocks in the set of latent blocks: predicting a block, based on a set of previously recovered blocks; receiving a selection signal indicating a currently recovered block, based on the selection signal performing one of (1) and (2): (1) generating a compact residual, a set of residual context parameters, a decoded residual, and generating a first decoded block; (2) generating a second decoded block, based on a compact representation block and a set of context parameters. The method further includes generating a set of recovered blocks comprising each of the currently recovered blocks; generating a recovered latent image by merging all the blocks in the set of recovered blocks; and decoding the recovered latent image, to obtain a reconstructed image.

Abstract: A display panel and a preparation method thereof, and a display device are disclosed. The display panel includes a display region and a bending region located outside the display region. The display panel includes a source-and-drain electrode metal layer. The display panel includes an organic photoresist layer in the bending region. A bending-region interlayer dielectric layer is disposed at one side of the organic photoresist layer near the source-and-drain electrode metal layer. Source-and-drain electrode traces can be prevented from breaking.

Abstract: The present disclosure provides a microfluidic chip and a droplet separation method, and belongs to the field of biological chip technology. The microfluidic chip includes a first liquid tank and a second liquid tank opposite to each other and a channel layer therebetween. The channel layer includes a plurality of microfluidic channels separated from each other, first ends of the microfluidic channels are communicated with the first liquid tank, and second ends are communicated with the second liquid tank. The first liquid tank contains sample solution to be detected, and the second liquid tank contains encapsulating liquid. The sample solution to be detected entering the first liquid tank may be separated into a plurality of sample droplets through the microfluidic channels, the separated sample droplets enter the second liquid tank, so that the encapsulating liquid is encapsulated on a surface of each of the plurality of sample droplets.

Abstract: The present disclosure provides a digital immunochip and a manufacture method thereof. The digital immunochip includes a first substrate and a second substrate which are opposite to each other. The first substrate includes: a first base substrate; at least one driving electrode on the first base substrate and configured to drive an object to be detected to move; a dielectric layer on a side of the at least one driving electrode away from the first base substrate and covering the at least one driving electrode; and a first hydrophobic layer on a side of the dielectric layer away from the first base substrate. The second substrate includes: a second base substrate; and an immunoassay substance on a side of the second base substrate proximal to the first hydrophobic layer of the first substrate and including an antigen or an antibody.

Abstract: A display panel and a display device are disclosed. The display panel includes an array substrate, an organic light-emitting layer, a thin-film encapsulation layer, and a polarizing film. The array substrate includes at least two inorganic layers disposed on an underlay substrate. In a transparent display region, at least two inorganic layers include at least one first hole. The organic light-emitting layer has faults in a position of the first hole. A transparent sealant is used to cover edges of the faults of the organic light-emitting layer.

Abstract: A detection device and method for detecting a protein-based marker, and method for manufacturing a chip are provided. The detection device includes a first cover plate, in which a liquid inlet and a liquid outlet are provided; a second cover plate attached to the first cover plate to form a chamber; and a chip in the chamber. The chip includes a glass substrate and a micro-hole array layer on a side of the glass substrate. The micro-hole array layer includes a plurality of micro-holes arranged in an array, with each of the micro-holes being a nano micro-hole. The liquid inlet and the liquid outlet are configured such that a solution containing a plurality of magnetic particles enters the chamber via the liquid inlet, flows through at least a portion of the plurality of micro-holes of the micro-hole array layer, and discharges from the liquid outlet.

Abstract: The present invention provides a display panel. At least one first buffer layer is disposed between the base layer and the thin film transistor layer. At least one second buffer layer is disposed between the functional layer and the polarizer. The first buffer layer and the second buffer layer use hollow designs in the transparent displaying region and can reduce stress generated from cutting a hole, improve protection for the display panel and finally improve reliability of the display device.

Abstract: An organic light-emitting diode (OLED) display panel and a preparation method thereof are provided. The OLED display panel comprises an array substrate structure including an opening area, a transition area and a display area, a light emitting layer, and an encapsulation layer. At least one channel is formed in a portion of the array substrate structure corresponding to the transition area, a closed structure is formed by the channel surrounding the opening, and at least one undercut structure is provided on a sidewall of the channel. The light emitting layer and the encapsulation layer cover the channel and extend to an edge of the opening, and a fault structure is formed at the undercut structure by the light emitting layer.

Abstract: A method of block-wise neural image compression with post filtering is performed by at least one processor of an encoder and includes encoding a block of an input image, using a first neural network, wherein the encoded block is decoded by a decoder using a second neural network to generate a reconstructed block, and performing intra-prediction on the reconstructed block, using a third neural network, to generate a predicted block. The method further includes determining a difference between the block of the input image and the generated predicted block, to generate a prediction residual, encoding the generated prediction residual, using a fourth neural network, wherein the encoded prediction residual is decoded by the decoder using a fifth neural network, and adding the decoded prediction residual to the generated predicted block, to generate a recovered predicted block.

Abstract: Array substrate, an organic light emitting diode (OLED) display panel and a display device are provided with a flexible substrate, an water- and oxygen-resistant layer, a signal line layer and a flattening layer that are laminated in a bending region of the array substrate, signal transmission lines formed by patterning the signal line layer are formed on the water- and oxygen-resistant layer. By manufacturing the signal line layer of the bending region on the water- and oxygen-resistant layer and filling with the flattening layer, the problem of electrical performance of signal lines, caused by water and oxygen permeating the signal line layer through organic photoresist, is alleviated.

Abstract: A method of multi-scale neural image compression with intra-prediction residuals is performed by at least one processor and includes downsampling an input image, generating a current predicted image, based on a previously-recovered predicted image, and generating a prediction residual based on a difference between the downsampled input image and the generated current predicted image. The method further includes encoding the generated prediction residual, decoding the encoded prediction residual, and generating a currently-recovered predicted image based on an addition of the current predicted image and the decoded prediction residual. The method further includes upsampling the currently-recovered predicted image, generating a scale residual based on a difference between the input image and the upsampled currently-recovered predicted image, and encoding the scale residual.

Abstract: Semiconductor optoelectronic devices having a dilute nitride active region are disclosed. In particular, the semiconductor devices have a dilute nitride active region with at least two bandgaps within a range from 0.7 eV and 1.4 eV. Photodetectors comprising a dilute nitride active region with at least two bandgaps have a reduced dark current when compared to photodetectors comprising a dilute nitride active region with a single bandgap equivalent to the smallest bandgap of the at least two bandgaps.