Abstract: A UAV delivery control system is disclosed. Sensors detect operation parameters associated with the UAV as the UAV maneuvers along an airborne delivery route. A UAV operation controller monitors UAV route parameters as the UAV maneuvers along the airborne delivery route. The UAV route parameters are indicative as to a current environment of the airborne delivery route that the UAV is encountering. The UAV operation controller automatically adjusts the operation of the UAV to maintain the operation of the UAV within an operation threshold based on the operation parameters and the UAV route parameters. The operation threshold is the operation of the UAV that is maintained within an overall airborne operation radius of the UAV from a return destination thereby enabling the UAV to execute the delivery of the package along the airborne delivery route and to return to the return destination.

Abstract: The disclosed computer-implemented method may include systems for generating personalized avatar reactions during live video broadcasts. For example, the systems and methods described herein can access a social networking system user's profile to identify an avatar associated with the social networking system user. The systems and methods can generate an avatar reaction by modifying one or more features of the avatar based on a corresponding emoticon reaction. Once generated, the social networking system user can select the avatar reaction for addition to an ephemeral reaction stream associated with a live video broadcast. Various other methods, systems, and computer-readable media are also disclosed.

Abstract: Optical Coherence Tomography Angiography (OCTA) image representation is obtained having OCTA pixels assigned respective OCTA values. A vessel density map is computed from the OCTA image representation. A fractional deviation map and/or a pattern deviation map is computed for the patient from the vessel density map and a normative database, wherein: (1) the fractional deviation map represents a percent loss of vessel density at each pixel location relative to an expected value based on the normative database; and (2) computing the pattern deviation map includes: computing a pattern map of the vessel density representing a normalized vessel density pattern of the vessel density map relative to an average value of the vessel density map; and computing the pattern deviation map using the pattern map. A loss is determined by using at least one of the fractional deviation map and the pattern deviation map. Other features are also provided.

Abstract: A method of processing a 3D OCT dataset is present. A method according to some embodiments of the present invention includes obtaining an OCT data from the 3D OCT dataset; obtaining an OCTA data from the 3D OCT dataset; performing segmentation for at least one boundary on the OCT data; processing the OCTA data in a region of interest to create at least one image representation by assigning a value to each pixel of each of the image representation; and displaying at least one image representation.

Abstract: A method of processing a 3D OCT dataset is present. A method according to some embodiments of the present invention includes obtaining an OCT data from the 3D OCT dataset; obtaining an OCTA data from the 3D OCT dataset; performing segmentation for at least one boundary on the OCT data; processing the OCTA data in a region of interest to create at least one image representation by assigning a value to each pixel of each of the image representation; and displaying at least one image representation.

Abstract: In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.

Abstract: In some embodiments of the present invention, a method of reducing artifacts includes obtaining OCT/OCTA data from an OCT/OCTA imager; preprocessing OCTA/OCT volume data; extracting features from the preprocessed OCTA/OCT volume data; classifying the OCTA/OCT volume data to provide a probability determination data; determining a percentage data from the probability data determination; and reducing artifacts in response to the percentage data.

Abstract: Embodiments of automatically aligning imager are presented. In accordance with some embodiments, an imaging system includes an adjustment stage; an auto-alignment optics mounted on the adjustment stage and coupled to image an object, the auto-alignment optics including at least one video camera providing an image of the object; imaging scanning optics mounted on the adjustment stage and coupled to scan the object; an imager coupled to the imaging scanning optics; and a processor coupled to the adjustment stage and the auto-alignment optics, the processor executing instructions to receive the image of the object and adjust the adjustment stage to align the optics with the imaging scanning optics.

Abstract: An optical coherence tomography system is provided. The system includes an OCT imager; a two-dimensional transverse scanner coupled to the OCT imager, the two-dimensional transverse scanner receiving light from the light source and coupling reflected light from a sample into the OCT imager; a computer coupled to receive 3D OCT data from the OCT imager, the computer further processes the 3D OCT data; wherein the processing the 3D OCT data includes: correcting motion artifacts in baseline mode; generating reference data in baseline mode; performing segmentation to identify volumes of interest; extracting feature information, the feature information including reflectivity, texture, or the combination thereof.

Abstract: A method of processing a 3D OCT dataset is present. A method according to some embodiments of the present invention includes obtaining an OCT data from the 3D OCT dataset; obtaining an OCTA data from the 3D OCT dataset; performing segmentation for at least one boundary on the OCT data; processing the OCTA data in a region of interest to create at least one image representation by assigning a value to each pixel of each of the image representation; and displaying at least one image representation.

Abstract: An imaging method according to some embodiments of the present invention includes obtaining working distance information from an optical coherence tomography system, the working distance being the working distance to the sample; obtaining information from one or more ocular systems; combining the information from said optical coherence tomography information and said ocular system; and displaying said combined information.

Abstract: An imaging method is disclosed. An imaging method according to some embodiments can include obtaining a plurality of measurements of an eye for at least one location by scanning optical radiation across the eye; determining a preferred measurement axis from the plurality of measurements; and processing the plurality of measurements to obtain information of the eye.

Abstract: Embodiments of automatically aligning imager are presented. In accordance with some embodiments, an imaging system includes an adjustment stage; an auto-alignment optics mounted on the adjustment stage and coupled to image an object, the auto-alignment optics including at least one video camera providing an image of the object; imaging scanning optics mounted on the adjustment stage and coupled to scan the object; an imager coupled to the imaging scanning optics; and a processor coupled to the adjustment stage and the auto-alignment optics, the processor executing instructions to receive the image of the object and adjust the adjustment stage to align the optics with the imaging scanning optics.

Abstract: In accordance with some embodiments, a method of eye examination includes acquiring OCT data with a scan pattern centered on an eye cornea that includes n radial scans repeated r times, c circular scans repeated r times, and n* raster scans where the scan pattern is repeated m times, where each scan includes a A-scans, and where n is an integer that is 0 or greater, r is an integer that is 1 or greater, c is an integer that is 0 or greater, n* is an integer that is 0 or greater, m is an integer that is 1 or greater, and a is an integer greater than 1, the values of n, r, c, n*, and m being chosen to provide OCT data for a target measurement, and processing the OCT data to obtain the target measurement.

Abstract: An apparatus and method of providing an ophthalmic image is presented. In accordance with embodiments of the present invention, an illumination path with a focus index optical assembly and a first diopter compensator is provided and an imaging path with a sensor and a second diopter compensator is provided. The first diopter compensator and the second diopter compensator can be adjusted to provide focus according to a focus index from the focus index optical assembly.

Abstract: An imaging method is disclosed. An imaging method according to some embodiments can include obtaining a plurality of measurements of an eye for at least one location by scanning optical radiation across the eye; determining a preferred measurement axis from the plurality of measurements; and processing the plurality of measurements to obtain information of the eye.

Abstract: An optical coherence tomography system is provided. The system includes an OCT imager; a two-dimensional transverse scanner coupled to the OCT imager, the two-dimensional transverse scanner receiving light from the light source and coupling reflected light from a sample into the OCT imager; a computer coupled to receive 3D OCT data from the OCT imager, the computer further processes the 3D OCT data; wherein the processing the 3D OCT data includes: correcting motion artifacts in baseline mode; generating reference data in baseline mode; performing segmentation to identify volumes of interest; extracting feature information, the feature information including reflectivity, texture, or the combination thereof.

Abstract: A system and methods of computer-aided diagnosis for ophthalmology are described that includes acquiring OCT data, determining an RPE fit from the OCT data, and displaying en face images based on the RPE fit.

Abstract: A method is disclosed for use in eye registrations and examinations, some embodiments of the method including acquiring scan pattern scans; forming images from the scans; registering the images; generating a feature map from the scan pattern scans; identifying features on the feature map; and recording positional information of features.

Abstract: In accordance with some embodiments, a method of eye examination includes acquiring OCT data with a scan pattern centered on an eye cornea that includes n radial scans repeated r times, c circular scans repeated r times, and n* raster scans where the scan pattern is repeated m times, where each scan includes a A-scans, and where n is an integer that is 0 or greater, r is an integer that is 1 or greater, c is an integer that is 0 or greater, n* is an integer that is 0 or greater, m is an integer that is 1 or greater, and a is an integer greater than 1, the values of n, r, c, n*, and m being chosen to provide OCT data for a target measurement, and processing the OCT data to obtain the target measurement.