In some embodiments, the present specification describes methods for displaying a three-dimensional image of an isolated threat object or region of interest with a single touch or click and providing spatial and contextual information relative to the object, while also executing a view dependent virtual cut-away or rendering occluding portions of the reconstructed image data as transparent. In some embodiments, the method includes allowing operators to associate audio comments with a scan image of an object. In some embodiments, the method also includes highlighting a plurality of voxels, which are indicative of at least one potential threat item, in a mask having a plurality of variable color intensities, where the intensities may be varied based on the potential threat items.

Disclosed are a flat panel detector and a manufacturing method thereof. The flat panel detector including: a first optical assembly, having a first side and a second side opposite to the first side in a thickness direction of the flat panel detector, and including: a first scintillator layer configured for converting at least part of rays into a first visible light; and a first light guide component stacked with the first scintillator layer and configured for guiding the first visible light; a first image sensor assembly stacked with the first optical assembly, configured for receiving the first visible light, and including: a first image sensor located at the first side of the first optical assembly; and a second image sensor located at the second side of the first optical assembly.

The invention relates to an inspection system for quality analysis of a food product, comprising conveyance means for moving it to an inspection area, a lighting device consisting of LEDs that emit a light sequence directed towards the inspection area to light up the product by transmission, a linear camera with at least one line of pixels for collecting a plurality of images in each light sequence of the lighting device, and focusing means for focusing the beam emitted by the lighting device. Advantageously, the lighting device is activated in a pulsed manner, generating a light sequence with at least two different illuminations, at least one of which is a transmission-pulsed illumination. The lighting device is aligned on the axis formed by the product to be inspected and the linear camera.

Method for detecting at least one critical defect in a ceramic rolling element providing the steps of capturing a plurality of two-dimensional digital radiographic images of the ceramic rolling element; digitally filtering each radiographic image; delineating, on the basis of the filtered image, at least one region liable to comprise the critical defect; constructing stereoscopically a virtual model of the ceramic rolling element having the region; comparing the dimensions of the delineated region with a plurality of predetermined threshold values, and, when the dimensions are greater than the threshold values, generating an alarm signal.

The present invention relates to a method of automatically determining a measurement recipe for a feature, such as a dimension of a pattern formed on a workpiece, such as a wafer, a mask, a panel, or a substrate. This method includes: determining a type of a CAD pattern (101) and a measurement recipe based on a relative position of a measurement point (111) and the CAD pattern (101) on a coordinate system defined in design data, and an area of the CAD pattern (101); aligning a real pattern (121) on an image corresponding to the CAD pattern (101) with the CAD pattern (101); and measuring a feature of the real pattern (121) according to the determined measurement recipe.

Method for detecting at least one critical defect in a ceramic rolling element providing the steps of capturing a plurality of two-dimensional digital radiographic images of the rolling element; digitally filtering each radiographic image; delineating, on the basis of the filtered image, at least one region liable to comprise the critical defect; constructing stereoscopically a virtual model of the rolling element having the region; comparing the dimensions of the delineated region with a plurality of predetermined threshold values, and, when the dimensions are greater than the threshold values, generating an alarm signal.

An approach is described that combines distinct properties of a specialized porous nitrocellulose film (PNC) with quantum nanoparticles to create an improved assay and detection sensitivity, permitting the development of a camera-based imaging system for fluorescent detection of macromolecules in microarray format. The two properties of PNC that facilitate the approach are an extraordinarily high binding capacity and a newly observed internal scattering of light. Quantum nanoparticles complement these PNC properties by providing a higher level of emitted light than the fluorescent dyes in common microarray use. Overall, the approach allows for instrument cost savings, reduced imaging time, and the ability to remotely image.

In some embodiments, the present specification describes methods for displaying a three-dimensional image of an isolated threat object or region of interest with a single touch or click and providing spatial and contextual information relative to the object, while also executing a view dependent virtual cut-away or rendering occluding portions of the reconstructed image data as transparent. In some embodiments, the method includes allowing operators to associate audio comments with a scan image of an object. In some embodiments, the method also includes highlighting a plurality of voxels, which are indicative of at least one potential threat item, in a mask having a plurality of variable color intensities, where the intensities may be varied based on the potential threat items.

A method includes: receiving a recycled wood workpiece populated with a set of metal fasteners; accessing an internal imaging scan; detecting the set of metal fasteners embedded in the recycled wood workpiece based on internal features detected in the internal imaging scan; for each metal fastener in the set of metal fasteners, extracting an initial position and an initial orientation of the metal fastener from the internal imaging scan; generating a virtual model of the recycled wood workpiece based on the internal imaging scan; accessing an image captured by an optical sensor; detecting a first metal fastener in the recycled wood workpiece; deriving a first position and a first orientation of the first metal fastener; and, in response to identifying the first metal fastener analogous to an initial metal fastener in the virtual model, isolating the first metal fastener in the virtual model and generating a fastener removal schedule.

A method includes: receiving a recycled wood workpiece populated with a set of metal fasteners; accessing an internal imaging scan; detecting the set of metal fasteners embedded in the recycled wood workpiece based on internal features detected in the internal imaging scan; for each metal fastener in the set of metal fasteners, extracting an initial position and an initial orientation of the metal fastener from the internal imaging scan; generating a virtual model of the recycled wood workpiece based on the internal imaging scan; accessing an image captured by an optical sensor; detecting a first metal fastener in the recycled wood workpiece; deriving a first position and a first orientation of the first metal fastener; and, in response to identifying the first metal fastener analogous to an initial metal fastener in the virtual model, isolating the first metal fastener in the virtual model and generating a fastener removal schedule.