Disclosed herein are platforms, systems, and methods including a cell culture system that includes a cell culture container comprising a cell culture, the cell culture receiving input cells, a cell imaging subsystem configured to acquire images of the cell culture, a computing subsystem configured to perform a cell culture process on the cell culture according to the images acquired by the cell imaging subsystem, and a cell editing subsystem configured to edit the cell culture to produce output cell products according to the cell culture process.

Disclosed herein are platforms, systems, and methods including a cell culture system that includes a cell culture container comprising a cell culture, the cell culture receiving input cells, a cell imaging subsystem configured to acquire images of the cell culture, a computing subsystem configured to perform a cell culture process on the cell culture according to the images acquired by the cell imaging subsystem, and a cell editing subsystem configured to edit the cell culture to produce output cell products according to the cell culture process.

A method may include acquiring MR signals by an MR scanner and generating image data in a k-space according to the MR signals. The method may also include classifying the image data into a plurality of phases. Each of the plurality of phases may have a first count of spokes. A spoke may be defined by a trajectory for filling the k-space. The method may also include classifying the plurality of phases of the image data into a plurality of groups and determining reference images based on the plurality of groups. Each of the reference images may correspond to the at least one of the phases of the image data. The method may further include reconstructing an image sequence based on the reference images and the plurality of phases of the image data.

A dynamic image analysis apparatus includes a hardware processor; and an ouputter. The hardware processor obtains a dynamic image of a chest portion obtained by dynamic imaging by radiation. The hardware processor performs a first generating process in which information regarding pleural adhesion is generated based on a motion amount in a region including at least a region adjacent to a rib cage in a lung region in the dynamic image. The outputter outputs the generated information regarding the pleural adhesion.

The present invention describes a method for the detection, diagnosis and monitoring of cognitive impairment and Alzheimer's disease. The method involves the detection of pericyte loss and deficiency in PDGFRβ, alone or in combination with retinal vascular Aβ deposits. The method also involves detecting an alteration in blood-retinal barrier (BRB) cell tight junction.

The disclosure relates to the technical field of image processing, in particular to a pulse wave velocity measuring method and an ultrasound device. The method includes: acquiring a target blood vessel ultrasound image of a target body, the target blood vessel ultrasound image including at least two sampling areas; based on the target blood vessel ultrasound image, acquiring a distance between the at least two sampling areas; analyzing images in the at least two sampling areas to acquire a time difference of displacement of preset points in a cardiac cycle between the at least two sampling areas; and based on the above distance and time difference, determining a pulse wave velocity of the target body. According to the disclosure, the pulse wave velocity is acquired through quantitative calculation from the target blood vessel ultrasound image, and therefore the accuracy of determining the pulse wave velocity is improved.

Disclosed are image recognition Artificial Intelligence (AI) training methods for multiple pulsed X-ray source-in-motion tomosynthesis imaging system. Image recognition AI training can be performed three ways: first, using existing acquired chest CT data set with known nodules to generate synthetic tomosynthesis Images, no X-ray radiation applied; second, taking X-ray raw images with anthropomorphic chest phantoms with simulated lung nodules, applying X-ray beam on phantom only; third, acquiring X-ray images using multiple pulsed source-in-motion tomosynthesis images from real patients with real known nodules and without nodules. An X-ray image recognition training network that is configured to receive X-ray training images, automatically determine whether the received images indicate a nodule or lesion condition. After training, image knowledge is updated and stored at knowledge database.

An X-ray imaging system using multiple pulsed X-ray source pairs in-motion to perform highly efficient and ultrafast 3D radiography is presented. The sources move simultaneously on arc trajectory at a constant speed as a group. Each individual source also moves rapidly around its static position in a small distance, but one moves in opposite direction to the other to cancel out linear momentum. Trajectory can also be arranged at a ring structure horizontally. In X-ray source pairs each moves in opposite angular direction to another to cancel out angular momentum. When an individual X-ray source has a speed that equals to group speed but an opposite linear or angular direction, the individual X-ray source is triggered through an external exposure control unit. This allows the source to stay relatively standstill during activation. 3D data can be acquired with wider view in shorter time and image analysis is real-time.

An X-ray imaging system using multiple pulsed X-ray sources to perform highly efficient and ultrafast 3D radiography is presented. There are multiple pulsed X-ray sources mounted on a structure in motion to form an array of sources. The multiple X-ray sources move simultaneously relative to an object on a pre-defined arc track at a constant speed as a group. Electron beam inside each individual X-ray tube is deflected by magnetic or electrical field to move focal spot a small distance. When focal spot of an X-ray tube beam has a speed that is equal to group speed but with opposite moving direction, the X-ray source and X-ray flat panel detector are activated through an external exposure control unit so that source tube stay momentarily standstill equivalently. 3D scan can cover much wider sweep angle in much shorter time and image analysis can also be done in real-time.

An X-ray imaging system using multiple pulsed X-ray sources in motion to perform high efficient and ultrafast 3D radiography using an X-ray flexible curved panel detector is presented. There are multiple pulsed X-ray sources mounted on a structure in motion to form an array of sources. The sources move simultaneously relative to an object on a predefined arc track at a constant speed as a group. Each individual X-ray source can move around its static position at a small distance. When an individual source has a speed equal to group speed, but with opposite moving direction, the individual source and detector are activated. This allows source to stay relatively standstill during activation. The operation results in reduced source travel distance for each individual source. 3D radiography image data can be acquired with much wider sweep angle in much shorter time, and image analysis can also be done in real-time.