Abstract: A virtual primaries transform controller maps a color of a first pixel in a scene received from an imaging pipeline to a color of a second pixel, which is displayed on a monitor. The first color and the second color are the same color. The direct mapping performed by the controller assures that the colors of pixels displayed using two different display technologies are identical.

Abstract: An exemplary system includes a scene processing module configured to receive a single frame comprising a first set of pixel data comprising a first combined scene including a fluorescence scene component and a second set of pixel data comprising a second combined scene including a combination of a visible color component scene and the fluorescence scene component. The scene processing module is further configured to extract a display fluorescence scene component from the first combined scene and extract a display visible scene component from the second combined scene. The system further includes a display unit configured to generate, based on the display fluorescence scene component and the display visible scene component, a displayed scene.

Abstract: Selective reflection of light by ureters and by tissue around the ureters is used to safely and efficiently image the ureters. In one aspect, a plurality of surgical site scenes is captured. Each of the plurality of surgical site scenes is captured from reflected light having a different light spectrum. The plurality of captured surgical site scenes is analyzed to identify ureter tissue in the captured surgical site scenes. A surgical site scene is displayed on a display device. The displayed surgical site scene has ureter tissue artificially highlighted.

Abstract: A system includes a controller communicatively coupled to an illuminator and to a camera configured to capture a scene including tissue. The controller may change the output optical power of the illuminator from a first output optical power to a second output optical power so that a subsequently captured frame is captured by the camera from reflected light, the reflected light being light from the illuminator having the second output optical power prior to being reflected. The controller may determine that an endoscope contacted the tissue if the change of the output optical power of the illuminator results in a change of a reflected luminance that is less than a predetermined threshold, the change of the reflected luminance being a change from a first reflected luminance for the first output optical power to a second reflected luminance for the second output optical power.

Abstract: Mixed mode imaging is implemented using a single-chip image capture sensor with a color filter array. The single-chip image capture sensor captures a frame including a first set of pixel data and a second set of pixel data. The first set of pixel data includes a first combined scene, and the second set of pixel data includes a second combined scene. The first combined scene is a first weighted combination of a fluorescence scene component and a visible scene component due to the leakage of a color filter array. The second combined scene includes a second weighted combination of the fluorescence scene component and the visible scene component. Two display scene components are extracted from the captured pixel data in the frame and presented on a display unit.

Abstract: Scenes captured with an endoscope (201) of a teleoperated surgical system (200) and displayed on a display unit (251) maintain a consistent brightness even though optical output power of an illuminator (210) changes, and working distance (204) between tissue (203) and the distal tip of the endoscope changes. Teleoperated surgical system (200) also automatically detects when endoscope (201) contacts tissue (203) and adjusts the output optical power of illuminator (210) so that tissue damage does not occur.

Abstract: A computer-assisted surgical system simultaneously provides visible light and alternate modality images that identify tissue or increase the visual salience of features of clinical interest that a surgeon normally uses when performing a surgical intervention using the computer-assisted surgical system. Hyperspectral light from tissue of interest is used to safely and efficiently image that tissue even though the tissue may be obscured in the normal visible image of the surgical field. The combination of visible and hyperspectral images are analyzed to provide details and information concerning the tissue or other bodily function that were not previously available.

Abstract: Mixed mode imaging is implemented using a single-chip image capture sensor with a color filter array. The single-chip image capture sensor captures a frame including a first set of pixel data and a second set of pixel data. The first set of pixel data includes a first combined scene, and the second set of pixel data includes a second combined scene. The first combined scene is a first weighted combination of a fluorescence scene component and a visible scene component due to the leakage of a color filter array. The second combined scene includes a second weighted combination of the fluorescence scene component and the visible scene component. Two display scene components are extracted from the captured pixel data in the frame and presented on a display unit.

Abstract: Mixed mode imaging is implemented using a single-chip image capture sensor with a color filter array. The single-chip image capture sensor captures a frame including a first set of pixel data and a second set of pixel data. The first set of pixel data includes a first combined scene, and the second set of pixel data includes a second combined scene. The first combined scene is a first weighted combination of a fluorescence scene component and a visible scene component due to the leakage of a color filter array. The second combined scene includes a second weighted combination of the fluorescence scene component and the visible scene component. Two display scene components are extracted from the captured pixel data in the frame and presented on a display unit.

Abstract: A virtual primaries transform controller maps a color of a first pixel in a scene received from an imaging pipeline to a color of a second pixel, which is displayed on a monitor. The first color and the second color are the same color. The direct mapping performed by the controller assures that the colors of pixels displayed using two different display technologies are identical.

Abstract: Mixed mode imaging is implemented using a single-chip image capture sensor with a color filter array. The single-chip image capture sensor captures a frame including a first set of pixel data and a second set of pixel data. The first set of pixel data includes a first combined scene, and the second set of pixel data includes a second combined scene. The first combined scene is a first weighted combination of a fluorescence scene component and a visible scene component due to the leakage of a color filter array. The second combined scene includes a second weighted combination of the fluorescence scene component and the visible scene component. Two display scene components are extracted from the captured pixel data in the frame and presented on a display unit.

Abstract: Selective reflection of light by ureters and by tissue around the ureters is used to safely and efficiently image the ureters. In one aspect, a plurality of surgical site scenes is captured. Each of the plurality of surgical site scenes is captured from reflected light having a different light spectrum. The plurality of captured surgical site scenes is analyzed to identify ureter tissue in the captured surgical site scenes. A surgical site scene is displayed on a display device. The displayed surgical site scene has ureter tissue artificially highlighted.

Abstract: Scenes captured with an endoscope (201) of a teleoperated surgical system (200) and displayed on a display unit (251) maintain a consistent brightness even though optical output power of an illuminator (210) changes, and working distance (204) between tissue (203) and the distal tip of the endoscope changes. Teleoperated surgical system (200) also automatically detects when endoscope (201) contacts tissue (203) and adjusts the output optical power of illuminator (210) so that tissue damage does not occur.

Abstract: Imaging device analysis systems and imaging device analysis methods are described. According to one embodiment, an imaging device analysis system includes a light source configured to generate a plurality of light beams for analysis of an imaging device, wherein the light beams comprise light of a plurality of different spectral power distributions, processing circuitry coupled with the light source and configured to control the light source to generate the light beams, and an optical interface optically coupled with a light receiving member of the imaging device and configured to communicate the plurality of light beams to the light receiving member of the imaging device.

Abstract: Imaging device calibration methods, imaging device calibration instruments, imaging devices, and articles of manufacture are described. According to one embodiment, an imaging device calibration method includes emitting light for use in calibration of an imaging device, providing an emission characteristic of the light, sensing the light using an image sensor of the imaging device, generating sensor data indicative of the sensing using the image sensor, and determining at least one optical characteristic of the imaging device using the generated sensor data and the emission characteristic for use in calibration of the imaging device, and wherein the at least one optical characteristic corresponds to the image device used to sense the light.

Abstract: An inverse transfer function is computed from a forward transfer function of an image rendering device. During the computation, device-dependent values are extrapolated for border nodes. The extrapolated values are out-of-gamut.

Abstract: Imaging device analysis systems and imaging device analysis methods are described. According to one embodiment, an imaging device analysis system includes a light source configured to output light for use in analyzing at least one imaging component of an imaging device, wherein the imaging device is configured to generate images responsive to received light, and processing circuitry coupled with the light source and configured to control the light source to optically communicate the light to the imaging device, wherein the processing circuitry is further configured to access image data generated by the imaging device responsive to the reception, by the imaging device, of the light from the light source and to process the image data to analyze an operational status of the at least one imaging component.

Abstract: A method and system identify a target simplex (T7) and interpolate inputs of points (214, 216, 218) of the target simplex (T7) to identify a combination of inputs that achieves a target result (TR).

Abstract: Imaging systems, imaging device analysis systems, imaging device analysis methods, and light beam emission methods are described. According to one aspect, an imaging device analysis method includes receiving initial light comprising a plurality of wavelengths of light, filtering some of the wavelengths of the initial light forming a plurality of light beams comprising different wavelengths of light, after the filtering, optically communicating the light beams of the different wavelengths of light to an imaging device, receiving the light beams using the imaging device, and analyzing the imaging device using light, wherein the light beams comprising the different wavelengths of light are emitted beams after the receiving.

Abstract: An apparatus for color sensing is disclosed. The apparatus includes a set of color sensor tolerances for a Non-Contact color sensor device; and a Contact color sensor device, conforming to the set of color sensor tolerances.