Several calibration methods for particle imaging systems are proposed that allow the determination of lateral focus shifts as a function of focusing changes or refocusing. Distortions in particle-optical images generated with appropriately calibrated systems can thus be reduced, and metrological investigations in these images, and especially in 3D tomography, can be performed with greater accuracy. With appropriately calibrated particle imaging systems, 3D samples, such as deep channels in semiconductor samples, can be measured more precisely. Distortion effects arising from sample geometries in electrostatic immersion fields can also be calibrated and thus corrected.
A method uses inpainting, whereby the ability to optimize the reconstruction of images at high resolution and sensitivity with minimal pixels is hard wired into the IRFPA. By combining several of these systems, or by selecting different pixels in the array to form images of different colors, hyperspectral images and 3-D tomograms can also be obtained with a significantly smaller number of pixels.
1. Name of the designed product: animal CT machine (Vetmax 9). 2. Use of the designed product: used for animal X-ray two-dimensional planar imaging and three-dimensional tomographic imaging. 3. Design points of the designed product: the overall shape of the product. 4. Picture or photo best indicating the design points: perspective view 1.
The high-precision three-dimensional tomography device based on the FIB-SEM double-beam system comprises a machine box and a scanning electron microscope, a walking mechanism is fixedly installed on the top of the machine box, and the walking mechanism is at least used for rotary motion of the scanning electron microscope; a rotary motor is arranged above the walking mechanism and is at least used for the rotary motion of the scanning electron microscope; a telescopic arm assembly is mounted above the rotary motor and is at least used for adjusting the horizontal position of the scanning electronmicroscope; a lifting mechanism is fixedly installed at one end of the telescopic arm assembly. The angle adjusting mechanism can adjust the pitching angle of the scanning electronmicroscope, the height of the scanning electronmicroscope is adjusted through the lifting mechanism, the horizontal position of the scanning electron microscope is adjusted through the telescopic arm assembly, and the rotary motor can drive the scanning electron microscope to rotate. The walking mechanism can enable the scanning electron microscope to rotate around the storage table, and all-directional scanning of the circuit board on the storage table is achieved.
1. The name of the design product: animal CT machine (vetist 7). 2. The use of the design product: for animal X-ray two-dimensional plane imaging and three-dimensional tomographic imaging. 3. The design points of the design product: in the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1.
1. The name of the design product: animal CT machine. 2. The use of the design product: for animal X-ray two-dimensional plane imaging and three-dimensional tomographic imaging. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: design 1 perspective view 1. 5. Design 1 is designated as the basic design.
1. The name of the design product: animal CT machine (Yuanrui 9). 2. The use of the design product: for animal X-ray two-dimensional plane imaging and three-dimensional tomographic imaging. 3. The design points of the design product: in the overall shape of the product. 4. The picture or photo that best indicates the design points: perspective view 1.
The present invention relates to a method for assigning quality classes to seeds of a population comprising, in a first analysis step: acquiring three-dimensional (3D) tomography image data by means of a three-dimensional tomography imaging method of seeds of one or more samples of the population, determining quality characteristics of the sample seeds and / or of seedlings developing therefrom, classifying them into one or more quality classes based on the determined quality characteristics, and assigning quality classes determined for the respective sample seed to the corresponding 3D tomography image data of this sample seed; And in a second step: generating synthetic phenotypic data from the corresponding 3D tomography image data of a sample seed for at least one spatial position of the sample seed, and annotating the synthetic phenotypic data with the quality classes assigned to the corresponding 3D tomography image data. In a further step, one or more quality classes can be assigned to any seeds in the population from which real phenotypic data are recorded or measured.
Several calibration methods for particle imaging systems are proposed that allow the determination of lateral focus shifts as a function of focusing changes or refocusing. Distortions in particle-optical images generated with appropriately calibrated systems can thus be reduced, and metrological investigations in these images, and especially in 3D tomography, can be performed with greater accuracy. With appropriately calibrated particle imaging systems, 3D samples, such as deep channels in semiconductor samples, can be measured more precisely. Distortion effects arising from sample geometries in electrostatic immersion fields can also be calibrated and thus corrected.
The present invention relates to a method for assigning quality classes to seeds of a population, the method comprising, in a first analysis step: acquiring three-dimensional (3D) tomography image data relating to seeds of one or more samples of the population by means of an imaging three-dimensional tomography method, determining quality properties of the sample seeds and / or of young plants developing therefrom and classifying them into one or more quality classes on the basis of the determined quality properties and assigning quality classes determined for each sample seed to the corresponding 3D tomography image data relating to said sample seed; and in a second step: generating synthetic data regarding the phenotype from the associated 3D tomography image data relating to a sample seed for at least one spatial position of the sample seed, and annotating the synthetic data regarding the phenotype with the quality classes assigned to the associated 3D tomography image data. In a further step, one or more quality classes can be assigned to any seeds of the population for which real data regarding the phenotype is captured or measured.
A method and a dual beam device for three-dimensional volume image generation of semiconductor objects within a wafer can provide higher accuracy. The method and device can be configured to mitigate drifts between a charge-particle beam imaging system and a wafer stage by monitoring displacement vectors and considering the displacement vectors during 3D pixel interpolation from a plurality of two-dimensional cross section images.
1. Name of the product in this design: Animal CT Scanner (Micro-Smart). 2. Application of this design: for animal X-ray two-dimensional planar imaging and three-dimensional tomographic imaging. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: 3D view 1.
The volume change of liquid and solidgallium has been studied as a function of pressure and temperature up to 3.02 GPa at 300 K and up to 3.63 GPa at 330 K using synchrotron x-ray microtomography combined with energy dispersive x-raydiffraction techniques. Two sets of directly measured P-V data at 300 K and 330 K were obtained from 3D tomography reconstruction data, and the corresponding isothermal bulk moduli were determined as 23.6 (0.5) GPa and 24.6 (0.4) GPa, respectively. The existence of a liquid-liquid phase transition region is proposed based on the abnormal compressibility of Ga melt at about 2.44 GPa and 330 K conditions.
The invention provides an illegal garbage identification processing method and system for a garbage incinerationplant and a medium, and belongs to the technical field of garbage disposal, and the method comprises the following steps: carrying out three-dimensional tomography scanning on a garbage transport vehicle entering a plant area to obtain first characteristic data of garbage; image acquisition is carried out in the garbage dumping process to obtain second feature data of the garbage; according to the first feature data and the second feature data, identifying the type of garbage in the garbage transport vehicle; the garbage types comprise a first type of forbidden garbage, a second forbidden garbage and suspicious garbage; and if it is determined that any one of the first type of forbidden garbage and the second type of forbidden garbage exists, preset treatment measures are executed to prevent the forbidden garbage from entering the incineration process. According to the invention, the garbage identification accuracy is improved, and the whole-process intelligent supervision of the garbage entering the factory from the entrance to dumping is realized.