Abstract: An injection molding system including an injection molding apparatus and a conveying apparatus for conveying a mold with respect to the injection molding machine, the conveying apparatus including a support member for supporting a bottom of the mold, and a guide member located on a side of the mold for guiding the mold conveyed by the conveying apparatus, wherein the improvement to the conveying apparatus includes an adjustment member for adjusting a position of the guide member in a direction intersecting a direction of conveyance of the mold by the conveying apparatus independently from a position of the supporting member.

Abstract: An injection molding system including an injection nozzle that injects resin into a mold and a conveying device that conveys the injection nozzle between a first position where the injection nozzle injects resin into a first mold and a second position where the injection nozzle injects resin into a second mold.

Abstract: The present disclosure relates to devices and methods for rapidly and uniformly cooling thermal cycling systems comprising selectively heating or cooling a thermal boundary layer at the edge of a bulk fluid flow.

Abstract: The present disclosure provides a system and a method for automated extraction of silk fibroin from silk cocoons. The silk extraction system can include a boiling tank, a rinsing tank, and a rinse bowl attached to a robotic arm. The rinse bowl has a porous bottom surface adapted to retain an extracted silk fibroin. The robotic arm can move the rinse bowl between the boiling tank and the rinsing tank for separate stages of processing. A silk processing algorithm is executed by a processor to automate the process.

Abstract: An injection molding system including an injection molding apparatus that performs injection molding with a mold, and a conveyor apparatus that moves the mold to a position in the injection molding apparatus, wherein the improvement to the injection molding system includes a connection part configured to fix the conveyor apparatus with the injection molding apparatus such that a side surface of the injection molding apparatus and a side surface of the conveyor apparatus facing each other are spaced apart.

Abstract: Some embodiments of a micro-fluidic device include at least one inlet hole located on an inlet side of the microfluidic device, the inlet hole consisting of a plurality of holes with diameters smaller in size than a diameter of the at least one inlet hole, at least one outlet hole located on an outlet side of the microfluidic device opposite the inlet side; and a micro-channel, where the plurality of holes are connected to the micro-channel.

Abstract: The present disclosure relates to methods and devices for the separation of blood components including separation by rapid sedimentation, including in an automated fashion.

Abstract: The present disclosure relates to methods and devices for the separation of blood components including separation by rapid sedimentation, including in an automated fashion.

Abstract: Devices, systems, and methods obtain one or more training images; obtain a test image; select one or more associated pixels in the training images for a target pixel in the training images; calculate respective value relationships between a value of the target pixel and respective values of the associated pixels in the training images; select one or more associated pixels in the test image for a target pixel in the test image; and detect an anomaly in the target pixel in the test image based on the respective value relationships between the value of the target pixel and the respective values of the associated pixels in the training images and on respective value relationships between a value of the target pixel and respective values of the associated pixels in the test image.

Abstract: Some embodiments of devices, systems, and methods obtain at least one first image, wherein the at least one first image is defined in an image space; select at least one feature in the at least one first image; define a topology based on the at least one feature; generate a topology mapping between the topology and the image-space topology; obtain a plurality of anomaly scores, wherein each anomaly score of the plurality of anomaly scores was generated based on a respective detection area in a second image; map the plurality of anomaly scores to the topology based on the topology mapping; and normalize each anomaly score in the plurality of anomaly scores based on the respective neighboring anomaly scores in the topology, thereby generating normalized anomaly scores.

Abstract: Devices, systems, and methods obtain an image; perform at least one nonlinear locally-adaptive mapping on the image, thereby generating a revised image; generate an edge-enhanced image based on the revised image; and perform dynamic contrast stretching on the edge-enhanced image, thereby generating an enhanced image.

Abstract: The present application generally relates to attaching a device to a conveyance structure.

Abstract: Some embodiments of devices, systems, and methods generate a respective connection mask at each defect detection location in a binary defect map, wherein each detection location in the binary defect map has a value that indicates that the detection location either has a defect or, alternatively, does not have a defect; generate one or more clusters of defect detection locations in the binary defect map based on each defect location's respective connection mask and on the binary defect map; generate respective bounding boxes for the one or more clusters; and recursively perform the following: checking respective sizes of the bounding boxes, and splitting any clusters of the one or more clusters that have respective bounding boxes with sizes that exceed one or more thresholds, thereby generating additional clusters of defect locations.

Abstract: Some embodiments of systems, devices, and methods obtain a plurality of training images; obtain one or more target regions; generate one or more respective statistical characterizations of the one or more target regions; obtain a test image; locate the one or more target regions on the test image; compare the one or more target regions in the test image to the one or more respective statistical characterizations of the one or more target regions; and detect anomalies in the one or more target regions in the test image based at least in part on the comparison of the one or more target regions in the test image to the one or more respective statistical characterizations of the one or more target regions.

Abstract: Devices, systems, and methods obtain a reference image; obtain a test image; globally align the test image to the reference image; select subfields in the test image; align the subfields in the test image with respective areas in the reference image; warp the test image based on the aligning of the subfields; select anchor points in the reference image; select anchor-edge points in the reference image; realign the subfields in the warped test image with respective areas in the reference image based on the anchor points in the reference image and on the anchor-edge points in the reference image; and warp the warped test image based on the realigning of the subfields.

Abstract: Devices, systems, and methods obtain a reference image; obtain a test image; globally align the test image to the reference image; select subfields in the test image; align the subfields in the test image with respective areas in the reference image; warp the test image based on the aligning of the subfields; select anchor points in the reference image; select anchor-edge points in the reference image; realign the subfields in the warped test image with respective areas in the reference image based on the anchor points in the reference image and on the anchor-edge points in the reference image; and warp the warped test image based on the realigning of the subfields.

Abstract: The present disclosure relates in general to a diagnostic device for inspection of an enclosed tube system, and more particular, to obtain images or video of the interior of the enclosed tube system while the diagnostic device is attached to a moveable member and traveling through the enclosed tube system. A diagnostic apparatus including camera housing configured to include a camera assembly, battery housing configured to hold a battery assembly, and a main housing configured to be detachably secured to a moveable member, wherein the camera housing and battery assembly are secured to the main housing, and wherein the main housing includes at least one light.

Abstract: Devices, systems, and methods obtain training images; generate image-alignment data based on the training images; cluster the training images based at least in part on the image-alignment data, thereby generating clusters of training images; and select one or more representative images from the training images based on the clusters of training images.

Abstract: Devices, systems, and methods obtain a reference image; obtain a test image; globally align the test image to the reference image; select subfields in the test image; align the subfields in the test image with respective areas in the reference image; warp the test image based on the aligning of the subfields; select anchor points in the reference image; select anchor-edge points in the reference image; realign the subfields in the warped test image with respective areas in the reference image based on the anchor points in the reference image and on the anchor-edge points in the reference image; and warp the warped test image based on the realigning of the subfields.

Abstract: Devices, systems, and methods obtain respective corresponding feature-detection scores for a plurality of areas in an image; calculate respective corresponding sorting scores for at least some areas of the plurality of areas; for the at least some areas of the plurality of areas, arrange the corresponding feature-detection scores in order of the corresponding sorting scores, thereby generating an order of sorted feature-detection scores; and assign respective detection scores to the at least some areas based on the order of sorted feature-detection scores and on three or more of the following: the respective corresponding feature-detection scores of the areas, a spectral threshold, a spatial threshold, and a neighborhood kernel.