Devices, Systems, and Methods for detecting a 3-dimensional position of an object, and surgical automation involving the same. The surgical robot system may include a robot having a robot base, a robot arm coupled to the robot base, and an end-effector coupled to the robot arm. The end-effector, surgical instruments, the patient, and/or other objects to be tracked include active and/or passive tracking markers. Cameras, such as stereophotogrammetric infrared cameras, are able to detect the tracking markers, and the robot determines a 3-dimensional position of the object from the tracking markers.

A guiding probe for identifying a location within an anatomical region of a patient. The guiding probe can optionally: a graspable portion, an insertion portion and an emitter. The insertion portion can be coupled to the graspable portion. The insertion portion can have an elongated extent and a longitudinal axis. The insertion portion can include a flexible section and a bending section. The bending section can be positioned distal of the flexible section. The emitter can be coupled to a distal end portion of the insertion portion. The emitter can be configured for use within the anatomical region to emit a signal that can be detectable extracorporeally of the patient whereby the signal enables the location within the anatomical region to be identified extracorporeally for therapy to be applied.

A visualization system including multiple light sources, an image sensor configured to detect imaging data from the multiple light sources, and a control circuit is disclosed. At least one of the light sources is configured to emit a pattern of structured light. The control circuit is configured to receive the imaging data from the image sensor, generate a three-dimensional digital representation of the anatomical structure from the pattern of structured light detected by the imaging data, obtain metadata from the imaging data, overlay the metadata on the three-dimensional digital representation, receive updated imaging data from the image sensor, and generate an updated three-dimensional digital representation of the anatomical structure based on the updated imaging data. The visualization system can be communicatively coupled to a situational awareness module configured to determine a surgical scenario based on input signals from multiple surgical devices.

Surgical robotic system includes a surgical robotic arm, a handheld user interface device (UID) having a camera. Images from the camera are processed to detect a marker in the user environment. A pose of the handheld UID is determined based on the detected marker. A movement of the surgical robotic arm is effected based on the pose of the handheld UID.

The present disclosure provides a head tracking control system including at least one marker positioned on a head of a surgeon. The system further includes an infrared camera including at least two infrared sensors and that detects infrared light reflected off the at least one marker and sends a signal corresponding to the detected light to a processor, and that executes instructions on the processor to detect a movement of the at least one marker. The system also includes an intelligent tracking system that executes instructions on the processor to determine if the detected movement of the at least one marker corresponds to a defined head movement of the surgeon. The system further includes an ophthalmic surgical microscope including the processor. If the detected movement of the at least one marker corresponds to the defined head movement of the surgeon, the processor executes instructions to control the ophthalmic surgical microscope.

A joint movement analysis system, comprising: a plurality of actual markers positioned around a joint, wherein space positions of the actual markers track space movement of virtual marker points that are set at anatomical bony landmark positions of the joint; an optical tracking device that senses the space positions of the actual markers so as to obtain a space movement data of the actual markers; a data collection device that collects the space movement data of the actual markers and a relative space position data of the virtual marker points with respect to the actual markers; and a data analyzing device that obtains a space movement data of the virtual marker points from the space movement data of the actual markers, and simulates and analyzes a movement of the bony structure of the joint according to the space movement data of the virtual marker points. The invention can dynamically analyze the joint movement condition, and the analysis result can track the actual joint condition objectively, quantitatively and accurately.

An ophthalmic system may comprise an imaging device having a field of view oriented toward the eye of the patient; a patient interface housing defining a passage therethrough, having a distal end coupled to one or more seals configured to be directly engaged with one or more surfaces of the eye of the patient, and wherein the proximal end is configured to be coupled to the patient workstation such that at least a portion of the field of view of the imaging device passes through the passage; and two or more registration fiducials coupled to the patient interface housing in a predetermined geometric configuration relative to the patient interface housing within the field of view of the imaging device such that they may be imaged by the imaging device in reference to predetermined geometric markers on the eye of the patient which may also be imaged by the imaging device.

A medical robot system, including a robot coupled to an effectuator element with the robot configured for controlled movement and positioning. The system may include a transmitter configured to emit one or more signals, and the transmitter is coupled to an instrument coupled to the effectuator element. The system may further include a motor assembly coupled to the robot and a plurality of receivers configured to receive the one or more signals emitted by the transmitter. A control unit is coupled to the motor assembly and the plurality of receivers, and the control unit is configured to supply one or more instruction signals to the motor assembly. The instruction signals can be configured to cause the motor assembly to selectively move the effectuator element and is further configured to (i) calculate a position of the at least one transmitter by analysis of the signals received by the plurality of receivers; (ii) display the position of the at least one transmitter with respect to the body of the patient; and (iii) selectively control actuation of the motor assembly in response to the signals received by the plurality of receivers.

Systems and methods for surgical guidance and image registration are provided, in which three-dimensional image data associated with an object or patient is registered to topological image data obtained using a surface topology imaging device. The surface topology imaging device may be rigidly attached to an optical position measurement system that also tracks fiducial markers on a movable instrument. The instrument may be registered to the topological image data, such that the topological image data and the movable instrument are registered to the three-dimensional image data. The three-dimensional image data may be CT or MRI data associated with a patient. The system may also co-register images pertaining to a surgical plan with the three-dimensional image data. In another aspect, the surface topology imaging device may be configured to directly track fiducial markers on a movable instrument. The fiducial markers may be tracked according to surface texture.

Many factors contribute to dogs' superior olfactory capabilities as compared to humans. Studies explored this aspect at the cellular and behavior levels; however, the cognitive-level neural substrates linking them have never been explored. Since sedated dogs cannot sniff, the present application illustrates the cognitive-level linking neural substrate using fMRI of conscious dogs. The head motion of the canine is accounted for by behavioral training and optical motion tracking. The olfactory bulb is commonly activated in both awake and anesthetized dogs, while parietal and frontal structures are activated only in the former and subcortical structures only in the latter. Comparison of low and high odor intensity shows differences in both the strength and spatial extent of activation in higher cognitive structures. Unlike humans, neural structures even at the top of the cognitive hierarchy are modulated by odor concentration in dogs. This represents one possible mechanism for their superior sense of olfaction as compared to humans.