Abstract: Systems, apparatuses, and methods for detecting carious lesions are described herein. In an example, the systems in an optical interrogator including a single-pixel photodetector responsive to short-wave infrared light and operatively coupled to a controller. In an example the optical interrogator includes a plurality of lasers for emitting laser light, a scanning mirror assembly and a single-pixel photodetector. In an example, the methods include causing the plurality of lasers to emit the laser light having wavelengths in a range of about 900 nm to about 1,700 nm; selectively directing the laser light over different portions of a tooth with a scanning mirror assembly to provide scattered light; and correlating scattered light signals generated by the single-pixel photodetector in response to the scattered light with the portion of the tooth.

Abstract: Various aspects as described herein are directed to a radiative cooling device and method for cooling an object. As consistent with one or more embodiments, a radiative cooling device includes a solar spectrum reflecting structure configured and arranged to suppress light modes, and a thermally-emissive structure configured and arranged to facilitate thermally-generated electromagnetic emissions from the object and in mid-infrared (IR) wavelengths.

Abstract: An imaging system includes an image sensor having an array of sensor pixels, a multi-chromatic illuminator adapted to independently generate a plurality of illumination colors each having a different finite spectral range, and a controller coupled to the image sensor and to the multi-chromatic illuminator. The controller includes logic to time-multiplexing the multi-chromatic illuminator between the illumination colors. Each of the illumination colors independently illuminates for at least a corresponding one of non-overlapping durations of illumination of the illumination colors. The controller includes further logic to acquire chromatic sub-images with the image sensor and combine the chromatic sub-images into a composite color image. Each of the chromatic sub-images is acquired during a different one of the non-overlapping durations of illumination.

Abstract: Various aspects as described herein are directed to a radiative cooling device and method for cooling an object. As consistent with one or more embodiments, a radiative cooling device includes a solar spectrum reflecting structure configured and arranged to suppress light modes, and a thermally-emissive structure configured and arranged to facilitate thermally-generated electromagnetic emissions from the object and in mid-infrared (IR) wavelengths.

Abstract: An apparatus, system and process for utilizing dual complementary pattern illumination of a scene when performing depth reconstruction of the scene are described. The method may include projecting a first reference image and a complementary second reference image on a scene, and capturing first image data and second image data including the first reference image and the complementary second reference image on the scene. The method may also include identifying features of the first reference image from features of the complementary second reference image. Furthermore, the method may include performing three-dimensional (3D) scene reconstruction for image data captured by the imaging device based on the identified features in the first reference image.

Abstract: A system for medical diagnosis includes a fiber optic cable and a plurality of light emitters optically coupled to a first end of the fiber optic cable. Each light emitter in the plurality of light emitters emits a distinct bandwidth of light. The system also includes a controller electrically coupled to the plurality of light emitters. The controller includes logic that when executed by the controller causes the controller to perform operations including: receiving instructions including an illumination mode, and adjusting an intensity of the light emitted from each light emitter in the plurality of light emitters to match the illumination mode.

Abstract: An imaging system (e.g., hyperspectral imaging system) receives an indication to compare a first object and a second object (e.g., two anatomical structures or organs in a medical environment). The imaging system accesses a classification vector for the first object and the second object, the classification vector having been extracted by separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object. A set of optimal illumination intensities for one or more spectral illumination sources of the imaging system is determined based on the extracted classification vector. The first and second objects are illuminated with the determined illumination intensities. A high-contrast image of the first and second objects is provided for display, such that the two objects can be readily distinguished in the image. The intensity of pixels in the image is determined by the illumination intensities.

Abstract: An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.

Abstract: A surgical probe is configured to be inserted into a body cavity and to emit beams of light to ablate tissue within the body cavity. The probe further includes sensors to detect properties of tissue in the body cavity and a source of suction to remove material produced by ablation of tissue within the body cavity. The sensors could be configured to operate in combination with beams of light emitted by the surgical probe to detect the location, geometry, fluorophore content, or other information about tissue in the body cavity. The surgical probe can additionally include suction port(s) to secure portions of tissue relative to the surgical probe to allow ablation of portions of the secured tissue and to allow detection of properties of portions of the secured tissue that are maintained in contact with the surgical probe by the suction port(s).

Abstract: A system for medical diagnosis includes a fiber optic cable and a plurality of light emitters optically coupled to a first end of the fiber optic cable. Each light emitter in the plurality of light emitters emits a distinct bandwidth of light. The system also includes a controller electrically coupled to the plurality of light emitters. The controller includes logic that when executed by the controller causes the controller to perform operations including: receiving instructions including an illumination mode, and adjusting an intensity of the light emitted from each light emitter in the plurality of light emitters to match the illumination mode.

Abstract: Embodiments may include a method to estimate motion data based on test image data sets. The method may include receiving a training data set comprising a plurality of training data elements. Each element may include an image data set and a motion data set. The method may include training a machine learning model using the training data set, resulting in identifying one or more parameters of a function in the machine learning model based on correspondences between the image data sets and the motion data sets. The method may further include receiving a test image data set. The test image data set may include intensities of pixels in a deep-tissue image. The method may include using the trained machine learning model and the test image data set to generate output data for the test image data set. The output data may characterize motion represented in the test image data set.

Abstract: An apparatus, system and process for identifying one or more different tissue types are described. The method may include applying a configuration to one or more programmable light sources of an imaging system, where the configuration is obtained from a machine learning model trained to distinguish between the one or more different tissue types captured in image data. The method may also include illuminating a scene with the configured one or more programmable light sources, and capturing image data that includes one or more types of tissue depicted in the image data. Furthermore, the method may include analyzing color information in the captured image data with the machine learning model to identify at least one of the one or more different tissue types in the image data, and rendering a visualization of the scene from the captured image data that visually differentiates tissue types in the visualization.

Abstract: Embodiments may include a method to estimate motion data based on test image data sets. The method may include receiving a training data set comprising a plurality of training data elements. Each element may include an image data set and a motion data set. The method may include training a machine learning model using the training data set, resulting in identifying one or more parameters of a function in the machine learning model based on correspondences between the image data sets and the motion data sets. The method may further include receiving a test image data set. The test image data set may include intensities of pixels in a deep-tissue image. The method may include using the trained machine learning model and the test image data set to generate output data for the test image data set. The output data may characterize motion represented in the test image data set.

Abstract: Endoscopic systems including multimode optical fibers for and methods of interrogating a portion of a body are described. In an example, the endoscopic system includes a multimode optical fiber, a coherent light source positioned to emit coherent light through the multimode optical fiber, and a photodetector positioned to absorb scattered coherent light emitted from the multimode optical fiber and configured to generate a speckled light signal based on the scattered coherent light. In an example, the endoscopic system includes a controller configured to analyze the speckled light signal with machine learning classifier and to generate an identification signal indicative of a characteristic of the portion of the body.

Abstract: Image guided surgery includes capturing a primary modality image of a surgical field of a patient with a camera system, obtaining a secondary modality image of the surgical field registered to the primary image, generating a surgical guidance image based at least in part upon the secondary modality image, and projecting the surgical guidance image onto the patient. The surgical guidance image presents visual augmentations on or over the patient to inform a medical practitioner during a surgical procedure.

Abstract: A robotic surgical system includes a surgical instrument configured to cut biological tissues and an imaging system configured to image the biological tissues. Based on one or more images of the biological tissue generated by the imager, the robotic surgical system operates the surgical instrument to cut the biological tissue according to a desired dissection of the tissue. The robotic surgical system operates the surgical instrument to partially or wholly automatically perform one or more cuts into the biological tissue to achieve the desired dissection.

Abstract: An imaging system includes an image sensor having an array of sensor pixels, a multi-chromatic illuminator adapted to independently generate a plurality of illumination colors each having a different finite spectral range, and a controller coupled to the image sensor and to the multi-chromatic illuminator. The controller includes logic to time-multiplexing the multi-chromatic illuminator between the illumination colors. Each of the illumination colors independently illuminates for at least a corresponding one of non-overlapping durations of illumination of the illumination colors. The controller includes further logic to acquire chromatic sub-images with the image sensor and combine the chromatic sub-images into a composite color image. Each of the chromatic sub-images is acquired during a different one of the non-overlapping durations of illumination.

Abstract: An endoscope includes a light source coupled to emit light, and a lens disposed proximate to a distal tip of the endoscope tube and structured to absorb at least some of the light. A controller is coupled to the light source, and the controller includes logic that when executed by the controller causes the endoscope to perform operations, including adjusting an emission profile of the light source to heat the lens with the light, and heating the lens mitigates formation of fog on the lens.

Abstract: An imaging system (e.g., hyperspectral imaging system) receives an indication to compare a first object and a second object (e.g., two anatomical structures or organs in a medical environment). The imaging system accesses a classification vector for the first object and the second object, the classification vector having been extracted by separating a plurality of collected reflectance values for the first object from a plurality of collected reflectance values for the second object. A set of optimal illumination intensities for one or more spectral illumination sources of the imaging system is determined based on the extracted classification vector. The first and second objects are illuminated with the determined illumination intensities. A high-contrast image of the first and second objects is provided for display, such that the two objects can be readily distinguished in the image. The intensity of pixels in the image is determined by the illumination intensities.

Abstract: An apparatus, system and process for utilizing dual complementary pattern illumination of a scene when performing depth reconstruction of the scene are described. The method may include projecting a first reference image and a complementary second reference image on a scene, and capturing first image data and second image data including the first reference image and the complementary second reference image on the scene. The method may also include identifying features of the first reference image from features of the complementary second reference image. Furthermore, the method may include performing three-dimensional (3D) scene reconstruction for image data captured by the imaging device based on the identified features in the first reference image.