Systems and methods for determining an ROI of a subject are provided. In some embodiments, the system may obtain a target image including the subject situated on a table. The system may also obtain a focus position associated with the ROI of the subject to be scanned or treated by a medical device in the target image. The system may further determine a target table position based on the focus position. In some embodiments, the system may obtain a model image corresponding to the subject. The system may also obtain a virtual area corresponding to a virtual ROI in the model image. The system may also obtain a positioning image of the subject. The system may further determine, in the positioning image, a target area corresponding to the ROI of the subject corresponding to the virtual ROI based on the virtual area and the positioning image.

Systems and methods for determining an ROI of a subject are provided. In some embodiments, the system may obtain a target image including the subject situated on a table. The system may also obtain a focus position associated with the ROI of the subject to be scanned or treated by a medical device in the target image. The system may further determine a target table position based on the focus position. In some embodiments, the system may obtain a model image corresponding to the subject. The system may also obtain a virtual area corresponding to a virtual ROI in the model image. The system may also obtain a positioning image of the subject. The system may further determine, in the positioning image, a target area corresponding to the ROI of the subject corresponding to the virtual ROI based on the virtual area and the positioning image.

A light emitter includes: a substrate; a driving section provided on the substrate; a light source that is provided on the substrate and is driven by the driving section; a cover section through which light emitted from the light source is transmitted and that is disposed in an optical axial direction of the light source; and a support section that is provided on a part of the substrate excluding a part between the driving section and the light source and supports the cover section.

A monitoring system includes a memory, and a processor coupled to the memory and configured to detect a face area of a subject from a captured image divided into a plurality of blocks according to a number of light emitting elements that irradiate an image capturing range, and control a light emission intensity of a light emitting element corresponding to a block including the face area among the plurality of blocks according to one of a position of the face area and a size of the face area.

Example display apparatus and methods of driving display apparatus are described. One example display apparatus includes a plurality of light emitting elements, a drive circuitry, at least one processor, and one or more memories coupled to the at least one processor. The drive circuitry is configured to drive light emission of the plurality of light emitting elements. The one or more memories store programming instructions for execution by the at least one processor to process signals output from the plurality of light emitting elements irradiated with light without emitting. The light emitting elements include light emitting element groups that emit light with different wavelengths. A predetermined specific wavelength is detected based on output values of signals output from light emitting elements included in at least two groups of the plurality of light emitting element groups.

Wearable coherent light sensing systems and methods are disclosed. In one implementation, a system may include a wearable coherent light source configured to direct light towards a facial area; a wearable sensor configured to receive light source reflections and to output associated reflection signals; and a processor operable in an idle mode and in a high power mode. In the idle mode, the processor is configured to receive the reflection signals, process the reflection signals to identify trigger in the reflection signals, and automatically switch to the high power mode upon identification of the trigger. In the high power mode, the processor is configured to analyze the reflection signals to identify facial movements associated with silent speech. Following the identification of the facial movements associated with the silent speech, the processor is configured to decipher the facial movements and generate an output associated with the silent speech.

A system and method for isolating and analyzing single cells, including: a substrate having a broad surface; a set of wells defined at the broad surface of the substrate, and a set of channels, defined by the wall, that fluidly couple each well to at least one adjacent well in the set of wells; and fluid delivery module defining an inlet and comprising a plate, removably coupled to the substrate, the plate defining a recessed region fluidly connected to the inlet and facing the broad surface of the substrate, the fluid delivery module comprising a cell capture mode.

A system and method for isolating and analyzing single cells, including: a substrate having a broad surface; a set of wells defined at the broad surface of the substrate, and a set of channels, defined by the wall, that fluidly couple each well to at least one adjacent well in the set of wells; and fluid delivery module defining an inlet and comprising a plate, removably coupled to the substrate, the plate defining a recessed region fluidly connected to the inlet and facing the broad surface of the substrate, the fluid delivery module comprising a cell capture mode.

Some embodiments are directed to a biometric authentication system including headwear having a plurality of biosensors each configured to sample muscle activity so as to obtain a respective time-varying signal, a data store for storing a data set representing characteristic muscle activity for one or more users, and a processor configured to process the time-varying signals from the biosensors in dependence on the stored data set so as to determine a correspondence between a time-varying signal and characteristic muscle activity of one of the one or more users, and in dependence on the determined correspondence, authenticate the time-varying signals as being associated with that user.

An object recognition apparatus includes a first spectrometer configured to obtain a first type of spectrum data from light scattered, emitted, or reflected from an object; a second spectrometer configured to obtain a second type of spectrum data from the light scattered, emitted, or reflected from the object, the second type of spectrum data being different from the first type of spectrum data; an image sensor configured to obtain image data of the object; and a processor configured to identify the object using data obtained from at least two from among the first spectrometer, the second spectrometer, and the image sensor and using at least two pattern recognition algorithms.