Abstract: Provided is a computer-implemented method for processing one or more video frames. The meth can include generating, by a processor, a change in value of one or more pixels obtained from the one or more video frames; classifying, by the processor, the change in value of the one or more pixels to produce one or more classes of the change in value of the one or more pixels, wherein the one or more classes include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing, by the processor, a listing of detected targets based on the one or more classes.

Abstract: Provided is a computer-implemented method for processing one or more video frames. The meth can include generating, by a processor, a change in value of one or more pixels obtained from the one or more video frames; classifying, by the processor, the change in value of the one or more pixels to produce one or more classes of the change in value of the one or more pixels, wherein the one or more classes include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing, by the processor, a listing of detected targets based on the one or more classes.

Abstract: Embodiments are directed to systems and methods to intelligently reduce the dynamic range of a signal. Using a histogram analysis of the signal, significant and insignificant portions of the original dynamic range can be identified. Compaction can then be focused on the insignificant portions of the dynamic range, resulting in significant dynamic range reduction with less signal loss. By compacting the little used portions of the original signal, the dynamic range of the rest of the signal can be largely maintained which results in little loss to signal fidelity, and thus mitigates saturation, quantization, signal mutual suppression, and other issues observed in prior art methods.

Abstract: Embodiments are directed to systems and methods to intelligently reduce the dynamic range of a signal. Using a histogram analysis of the signal, significant and insignificant portions of the original dynamic range can be identified. Compaction can then be focused on the insignificant portions of the dynamic range, resulting in significant dynamic range reduction with less signal loss. By compacting the little used portions of the original signal, the dynamic range of the rest of the signal can be largely maintained which results in little loss to signal fidelity, and thus mitigates saturation, quantization, signal mutual suppression, and other issues observed in prior art methods.

Abstract: The present invention provides various fluorescent conjugated polymers with a BODIPY-based backbone. The invention also provides methods of using the polymers of the invention, such as for imaging and detection of cells, tumors, bacteria and viruses.

Abstract: The present invention provides various fluorescent conjugated polymers with a BODIPY-based backbone. The invention also provides methods of using the polymers of the invention, such as for imaging and detection of cells, tumors, bacteria and viruses.

Abstract: Embodiments are directed to systems and methods to intelligently reduce the dynamic range of a signal. Using a histogram analysis of the signal, significant and insignificant portions of the original dynamic range can be identified. Compaction can then be focused on the insignificant portions of the dynamic range, resulting in significant dynamic range reduction with less signal loss. By compacting the little used portions of the original signal, the dynamic range of the rest of the signal can be largely maintained which results in little loss to signal fidelity, and thus mitigates saturation, quantization, signal mutual suppression, and other issues observed in prior art methods.

Abstract: The present invention provides various fluorescent conjugated polymers with a BODIPY-based backbone. The invention also provides methods of using the polymers of the invention, such as for imaging and detection of cells, tumors, bacteria and viruses.

Abstract: A multi-modality imaging device is provided for use in surgical procedures. The disclosed imaging device incorporates a line of sight surface tissue imaging device and a sub-surface tissue imaging device into a single instrument to facilitate sub-surface surgical procedures. The line of sight surface tissue imaging device may be movably mounted relative to the sub-surface tissue imaging device and movable between a retained position and a deployed position offset from a longitudinal axis of the sub-surface tissue imaging device. Alternatively, the line of sight surface tissue imaging device may be stationary and concentric around the sub-surface tissue imaging device. There is also disclosed a system including a multi-modality imaging device mounted on a surgical instrument.

Abstract: An ultrasonic surgical instrument is disclosed, and includes a handle assembly, an elongate tubular member, and an end effector. The elongate tubular member extends from the handle assembly and defines a channel therethrough. The end effector is coupled with a distal end of the elongate tubular member and includes a first jaw member pivotably attached to the tubular member, and a second jaw member longitudinally movable within the channel of the elongate tubular member. One of the first jaw member and the second jaw member includes at least one ultrasonic transducer.

Abstract: A video camera may overlook a monitored area from any feasible position. An object flow estimation module monitor the moving direction of the objects in the monitored area. It may separate the consistently moving objects from the other objects. A object count estimation module may compute the object density (e.g. crowd). A object density classification module may classify the density into customizable categories.

Abstract: Provided is a computer-implemented method for processing one or more video frames. The meth can include generating, by a processor, a change in value of one or more pixels obtained from the one or more video frames; classifying, by the processor, the change in value of the one or more pixels to produce one or more classes of the change in value of the one or more pixels, wherein the one or more classes include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing, by the processor, a listing of detected targets based on the one or more classes.

Abstract: A computer-implemented method for processing one or more video frames may include obtaining one or more video frames; generating one or more blobs using the one or more video frames; classifying the one or more blobs to produce one or more classified blobs, wherein the one or more classified blobs include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing a list of detected targets based on the one or more classified blobs.

Abstract: A real time image guidance system is provided having an imaging device configured to capture a surface image of tissue and an ultrasound device configured to capture a sub-surface image of tissue. An imaging processor combines the surface image and the sub-surface image to generate a three-dimensional (3D) image that is displayed to a clinician.

Abstract: The present disclosure relates to systems, devices and methods of highlighting points or regions of interest on a body structure. These systems, devices and methods allow for real-time highlighting of those points or regions that account for repositioning of the viewing instrument that is transmitting the images.

Abstract: A computer-implemented method for processing one or more video frames may include obtaining one or more video frames; generating one or more blobs using the one or more video frames; classifying the one or more blobs to produce one or more classified blobs, wherein the one or more classified blobs include one or more of a stationary target, a moving target, a target insertion, a target removal, or a local change; and constructing a list of detected targets based on the one or more classified blobs.

Abstract: One or more video frames may be obtained, and a background model may be constructed based on a first parameter. A second background model may be constructed using the one or more video frames based on a second parameter, the second parameter being different from the first parameter. A difference between the first and second background models may be determined. One or more stationary targets may be determined based on the determined difference. The one or more stationary targets may be classified. An alert concerning the one or more classified stationary targets may be generated.

Abstract: A sequence of video frames of an area of interest is obtained. A first background model of the area of interest is constructed based on a first parameter. A second background model of the area of interest is constructed based on a second parameter, the second parameter being different from the first parameter. A difference between the first and second background models is determined. A stationary target is determined based on the determined difference. An alert concerning the stationary target is generated.

Abstract: The present invention provides various fluorescent conjugated polymers with a BODIPY-based backbone. The invention also provides methods of using the polymers of the invention, such as for imaging and detection of cells, tumors, bacteria and viruses.

Abstract: A video sequence of a field of view within an environment is received. Targets are detected in the video sequence. Target geo-positional information is received. Correspondences between the targets detected in the video sequence and the target geo-positional information are determined and used to calibrate the camera and to geo-register a field of view of the camera.