Abstract: Provided is a method for extracting plasmid DNA in bacteria, realizing lysis and neutralization during plasmid production in two mixing assemblies connected in series, and comprising the following steps: (1) mixing, (2) lysing, and (3) neutralizing. Step (1) is completed in a first mixing assembly; step (2) is completed in a lysis helical tube; step (3) is completed in a second mixing assembly; and the first mixing assembly, the lysis helical tube and the second mixing assembly are sequentially connected in series. A device used in the plasmid preparation process is simple, is convenient to operate, is low in costs, can remove a large amount of impurities during cell lysis without professional customized device and expensive device, has safe components, realizes automatic continuous lysis, and facilitates industrial production.

Abstract: The present disclosure relates to an imaging system and method for radiographic inspection. The imaging system for radiographic inspection includes an inspection area including an imaging area; a first ray source assembly, all the first targets of which are arranged in a first ray source plane; a first detector assembly, the plurality of first detector units of which are arranged in a detector plane, the detector plane and the first ray source plane are spaced apart from each other in a travelling direction of the object under inspection with a predetermined distance; and a ray source control device, configured such that when the region of interest of the object under inspection is at least partially located in the imaging area, the first ray source assembly emits X-rays simultaneously from at least two first targets to the imaging area at the same time.

Abstract: An image processing method, comprising: acquiring, by a CT scanning system, projection data of an object; and processing, by using a convolutional neural network, the projection data, to acquire an estimated image of the object. The convolutional neural network comprises: a projection domain network for processing input projection data to obtain estimated projection data; an analytical reconstruction network layer for performing analytical reconstruction to obtain a reconstructed image; an image domain network for processing the reconstructed image to obtain an estimated image, a projection layer for performing a projection operation by using a system projection matrix of the CT scanning system, to obtain a projection result of the estimated image; and a statistical model layer for determining consistency among the input projection data, the estimated projection data, and the projection result of the estimated image based on a statistical model.

Abstract: An image processing method, comprising: acquiring, by a CT scanning system, projection data of an object; and processing, by using a convolutional neural network, the projection data, to acquire an estimated image of the object. The convolutional neural network comprises: a projection domain network for processing input projection data to obtain estimated projection data; an analytical reconstruction network layer for performing analytical reconstruction to obtain a reconstructed image; an image domain network for processing the reconstructed image to obtain an estimated image, a projection layer for performing a projection operation by using a system projection matrix of the CT scanning system, to obtain a projection result of the estimated image; and a statistical model layer for determining consistency among the input projection data, the estimated projection data, and the projection result of the estimated image based on a statistical model.