Abstract: The present disclosure provides methods and systems for ghost cytometry (GC), which may be used to produce an image of an object without using a spatially resolving detector. This may be used to perform image-free ultrafast fluorescence “imaging” cytometry, based on, for example, a single pixel detector. Spatial information obtained from the motion of cells relative to a patterned optical structure may be compressively converted into signals that arrive sequentially at a single pixel detector. Combinatorial use of the temporal waveform with the intensity distribution of the random or pseudo-random pattern may permit computational reconstruction of cell morphology. Machine learning methods may be applied directly to the compressed waveforms without image reconstruction to enable efficient image-free morphology-based cytometry.

Abstract: A semiconductor device according to an embodiment includes a semiconductor substrate, a cell region, and a termination region. The termination region surrounds the cell region and includes a plurality of first diffusion layers containing a first conductivity type impurity. In a cross-section of the termination region in a first direction perpendicular to the first face, at least one of the plurality of first diffusion layers includes a first region extending in the first direction from the first face toward a second face of the semiconductor substrate, and a second region extending in a second direction orthogonal to the first direction from the first region. The concentration of the first conductivity type impurity contained in the second region is lower than the concentration of the first conductivity type impurity contained in the first region.

Abstract: A semiconductor device includes a semiconductor part, first to fourth electrodes and a control electrode. The first and second electrodes are provided respectively on back and front surfaces of the semiconductor part. The third electrode is provided between the first and second electrodes, and provided in the semiconductor part with a first insulating film interposed. The fourth and control electrodes are provided between the second and third electrodes. The fourth and control electrodes extends into the semiconductor part from the front side and faces the third electrode with a second insulating film interposed. The fourth electrode is positioned between the semiconductor part and the control electrode. The first insulating film extends between the semiconductor part and the control electrode and between the semiconductor part and the fourth electrode. The fourth electrode faces the control electrode with a third insulating film interposed, and is electrically connected to the third electrode.

Abstract: A semiconductor device includes a semiconductor substrate, a cell region provided, and a termination region. The termination region surrounds the cell region and includes a plurality of first diffusion layers containing a first conductive impurity, a plurality of second diffusion layers each disposed on an outer side of each of the plurality of first diffusion layers and having a concentration of the first conductive impurity lower than that of the first diffusion layers, and a plurality of conductive layers opposing the first diffusion layers and the second diffusion layers on the front face of the semiconductor substrate, the plurality of conductive layers electrically connected to the first diffusion layers, the plurality of conductive layers each having an outer end portion. On a lower side of the outer end portion, any one of the plurality of second diffusion layers is present.

Abstract: According to one embodiment, a semiconductor device includes first and second electrodes, a first conductive member, a semiconductor member, and an insulating member. The first electrode includes a first face. The second electrode includes a first conductive region and a first conductive portion. The first conductive portion is electrically connected to the first conductive region. The first conductive member is provided between the first face and the first conductive region. The semiconductor member is provided between the first face and the second electrode. The semiconductor member includes a first semiconductor region of a first conductive type, a second semiconductor region of a second conductive type, a third semiconductor region of the second conductive type, a fourth semiconductor region of the first conductive type, and a fifth semiconductor region of the first conductive type. The second semiconductor region is located between the third partial region and the third semiconductor region.

Abstract: The present disclosure provides methods and systems for ghost cytometry (GC), which may be used to produce an image of an object without using a spatially resolving detector. This may be used to perform image-free ultrafast fluorescence “imaging” cytometry, based on, for example, a single pixel detector. Spatial information obtained from the motion of cells relative to a patterned optical structure may be compressively converted into signals that arrive sequentially at a single pixel detector. Combinatorial use of the temporal waveform with the intensity distribution of the random or pseudo-random pattern may permit computational reconstruction of cell morphology. Machine learning methods may be applied directly to the compressed waveforms without image reconstruction to enable efficient image-free morphology-based cytometry.

Abstract: The present disclosure provides systems, devices, and methods for flow focusing in a microfluidic device. Flow focusing may be used in detection of objects, for example cells, in a stream of fluid passing through a fluidic device. The systems and devices may comprise a flow channel positioned between two sheath channels configured to direct fluid across the flow channel. Flow focusing microfluidic systems and devices disclosed herein may be robust to alignment errors. Systems and devices of the present disclosure may reduce the displacement of flow from the intended locations due to alignment errors. Also disclosed herein are methods for using such microfluidic systems and devices.

Abstract: An imaging flow cytometer includes at least one flow channel through which an observation target flows, a light source which irradiates the flow channel with sheet-like excitation light, an imaging unit which images a specific cross-section of the observation target by imaging fluorescence from the observation target having passed through a position irradiated with the excitation light, and a three-dimensional image generation unit which generates a three-dimensional image of the observation target as a captured image on the basis of a plurality of captured images obtained by cross-sectional imaging by the imaging unit.

Abstract: A cell evaluation system includes physical measurement unit, a database, and evaluation unit. The evaluation unit refers to a relevance stored in the database, searches reference measurement information based on measurement information of a cell newly measured via the physical measurement unit, and evaluates the cell with biological measurement information associated with the searched reference measurement information.

Abstract: A flow cell of the flow cytometer of the present invention includes: a sample flow path through which a sample fluid containing a sample flows; and a sample fluid supply portion which communicates with an upstream end of the sample flow path in the sample fluid flow direction and supplies the sample fluid to the sample flow path, wherein the sample fluid supply portion includes a plurality of sample opening portions which supply a sample fluid to the sample flow path, a cleaning liquid supply opening portion to which a second tube is connectable and which supplies a cleaning liquid for cleaning the sample fluid supply portion, and a cleaning liquid discharge opening portion to which a first tube is connectable and which discharges the cleaning liquid from the sample fluid supply portion.

Abstract: The present disclosure provides methods and systems for ghost cytometry (GC), which may be used to produce an image of an object without using a spatially resolving detector. This may be used to perform image-free ultrafast fluorescence “imaging” cytometry, based on, for example, a single pixel detector. Spatial information obtained from the motion of cells relative to a patterned optical structure may be compressively converted into signals that arrive sequentially at a single pixel detector. Combinatorial use of the temporal waveform with the intensity distribution of the random or pseudo-random pattern may permit computational reconstruction of cell morphology. Machine learning methods may be applied directly to the compressed waveforms without image reconstruction to enable efficient image-free morphology-based cytometry.

Abstract: A cell evaluation system includes physical measurement unit, a database, and evaluation unit. The evaluation unit refers to a relevance stored in the database, searches reference measurement information based on measurement information of a cell newly measured via the physical measurement unit, and evaluates the cell with biological measurement information associated with the searched reference measurement information.

Abstract: An imaging flow cytometer includes at least one flow channel through which an observation target flows, a light source which irradiates the flow channel with sheet-like excitation light, an imaging unit which images a specific cross-section of the observation target by imaging fluorescence from the observation target having passed through a position irradiated with the excitation light, and a three-dimensional image generation unit which generates a three-dimensional image of the observation target as a captured image on the basis of a plurality of captured images obtained by cross-sectional imaging by the imaging unit.

Abstract: A computer 12 of an image processing apparatus 11 acquires a moving image including a minor axis cross section of a carotid artery and a cross section of surrounding tissues around the carotid artery and estimates, from images of two temporally different frames of the acquired moving image, an optical flow of each point included in an area corresponding to a carotid artery wall and an optical flow of each point included in an area corresponding to the surrounding tissues. Based on the estimated optical flow of each point, the computer 12 calculates an amount of displacement of the carotid artery and the surrounding tissues with respect to a radial direction of the carotid artery depending on a change in internal pressure of the carotid artery.

Abstract: A computer 12 of an image processing apparatus 11 acquires ultrasound B-mode images of consecutive frames to estimate a carotid artery wall at a carotid artery minor axis cross section included in an ultrasound B-mode image of a predetermined frame. The computer 12 also uses, as a template image, the ultrasound B-mode image, which includes the estimated carotid artery wall and surrounding tissues of the carotid artery wall and estimates the size of the diameter of the carotid artery wall so as to minimize a margin of error between a transformed template image, which is created by transforming the template image, and the acquired ultrasound B-mode image of each frame, thereby acquiring the time change of the carotid artery wall.

Abstract: A computer 12 of an image processing apparatus 11 acquires ultrasound B-mode images of consecutive frames to estimate a carotid artery wall at a carotid artery minor axis cross section included in an ultrasound B-mode image of a predetermined frame. The computer 12 also uses, as a template image, the ultrasound B-mode image, which includes the estimated carotid artery wall and surrounding tissues of the carotid artery wall and estimates the size of the diameter of the carotid artery wall so as to minimize a margin of error between a transformed template image, which is created by transforming the template image, and the acquired ultrasound B-mode image of each frame, thereby acquiring the time change of the carotid artery wall.

Abstract: A computer 12 of an image processing apparatus 11 acquires a moving image including a minor axis cross section of a carotid artery and a cross section of surrounding tissues around the carotid artery and estimates, from images of two temporally different frames of the acquired moving image, an optical flow of each point included in an area corresponding to a carotid artery wall and an optical flow of each point included in an area corresponding to the surrounding tissues. Based on the estimated optical flow of each point, the computer 12 calculates an amount of displacement of the carotid artery and the surrounding tissues with respect to a radial direction of the carotid artery depending on a change in internal pressure of the carotid artery.

Abstract: An image processing device acquires an ultrasound B-mode image sequence and creates an evaluation function of a mode of the longitudinal sectional shape of the carotid artery rendered in a frame following the frame that has already been modeled, thereby optimizing the evaluation function. The image processing device estimates and models the position and shape of the longitudinal sectional shape of the carotid artery for the following frame based on the optimization result, and performs the same for the subsequent frames. The image processing device outputs a variation of the carotid artery diameter in response to heartbeats based on the modeling result.

Abstract: The blood vessel imaging system includes a carriage for moving in a row direction an ultrasonic probe having a plurality of ultrasonic transducers arranged along a column direction and along the row direction. A computer repeats intermittent movement control for the carriage in shorter distance than a row pitch of the ultrasonic transducers along the row direction for each of a plurality of predetermined periods. Three-dimensional image processing or four-dimensional image processing is performed on the basis of a two-dimensional image and position information, the two-dimensional image being generated by making original image information, which is obtained by the ultrasonic transducers, two-dimensional in an ultrasonograph. The computer generates the images of a maximum diameter, a minimum diameter, and the difference between the maximum diameter and the minimum diameter for each measurement site in a carotid artery on the basis of the image processing result.

Abstract: The present invention relates to an anti-inflammatory and analgesic pharmaceutical preparation for external use having excellent percutaneous absorption and applicability. The pharmaceutical preparations for external use of this invention comprise NSAIDs and, as a percutaneous absorption promoting agent, oleic acid, oleyl alcohol or a mixture thereof, in a pharmaceutically acceptable aqueous alcoholic solvent comprised of a monohydric saturated aliphatic alcohol of 1-4 carbon atoms, a polyhydric alcohol selected from the group consisting of saturated aliphatic glycols of 2-4 carbon atoms and glycerol, and water.