A method of automating the collection, association, and coordination of multiple medical data sources using a coordinating service application, computer, database, and/or server system to manage devices, examinations, and people involved in the medical examination and treatment process. In an embodiment, the method comprises authenticating a user for a premises, a device, or a device group, validating particular use of the device based on user credentials or type of device or device group, associating a medical examination with a patient or a medical examination schedule, associating medical examination data from a device or device group with a related medical examination session, routing medical examination data to a computer, database, or server, and pairing medical examination session data with a medical interpretation, clinical testing results, diagnoses, and/or other recorded information.

An additional floodlight projection device (10) based on an ophthalmic slit lamp and an ophthalmic image analysis system, comprising a slit lamp microscope examination instrument (20), the floodlight projection device (10), an image collection device (30), and an image analysis device (40). The floodlight projection device (10) is detachably and rotatably connected to the slit lamp microscope examination instrument (20) and is used for forming a floodlight mapping graph with special reticulate patterns on the surface of a cornea to be detected; the image collection device (30) is used for performing, by means of an optical path channel, optical image collection on the floodlight mapping graph formed on the surface of said cornea to form an examination data packet and sending the examination data packet to the image analysis device (40); the image analysis device (40) is used for performing processed processing, digitized filtering comparison and measurement, and pathological analysis on the obtained examination data packet to obtain a pathological examination result. The additional floodlight projection device (10) based on the ophthalmic slit lamp and the ophthalmic image analysis system perfect and expand the professional technical means of utilizing the ophthalmic slit lamp microscope examination instrument (20) for pathological examination.

The present invention is directed to a medical imaging binocular indirect ophthalmoscope with onboard sensor array and computational processing unit, enabling simultaneous or time-delayed viewing and collaborative review of photographs or videos from an eye examination. The invention also claims a method for photographing and integrating information associated with the images, videos, or other data generated from the eye examination.

A method of automating the collection, association, and coordination of multiple medical data sources using a coordinating service application, computer, database, and/or server system to manage devices, examinations, and people involved in the medical examination and treatment process. In an embodiment, the method comprises authenticating a user for a premises, a device, or a device group, validating particular use of the device based on user credentials or type of device or device group, associating a medical examination with a patient or a medical examination schedule, associating medical examination data from a device or device group with a related medical examination session, routing medical examination data to a computer, database, or server, and pairing medical examination session data with a medical interpretation, clinical testing results, diagnoses, and/or other recorded information.

A computer-implemented method and a corresponding system for context-sensitive white balancing for a stereomicroscope are presented. The method comprises recording a first digital image by way of a first camera in a first optical path of the stereomicroscope, and recording a second digital image by way of a second camera in a second optical path of the stereomicroscope. Furthermore, the method comprises determining, by means of a trained machine learning system, the context identified in the images, and determining, by means of the trained machine learning system, camera parameters suitable for controlling color channels of the first and second cameras for white balancing.

A binocular scanning laser ophthalmoscope (SLO) is used to track the fixational eye movement of each of the eyes of a subject. The binocular SLO may include right eye optics for imaging a portion of the retina of the right eye and left eye optics for imaging a portion of the retina of the left eye. Shifts in the imaged portion of the retina with respect to a reference image of the retina may be used to measure and track eye movement. The right eye optics and left eye optics may be separate imaging paths, each with its own bi-directional MEMS scanning mirror and Keplerian telescope. The use of the MEMS scanning mirrors minimizes the size and weight of the binocular SLO.

The disclosure provides a system that may: render, based at least on first positions of locations of iris structures of an eye, a first two-dimensional overlay image associated with a three-dimensional image overlay image; display, via a first display, the first two-dimensional overlay image; render, based at least on the first positions and at least on a horizontal offset, a second two-dimensional overlay image associated with the three-dimensional overlay image; display, via a second display, the second two-dimensional overlay image; render, based at least on second positions, a third two-dimensional overlay image associated with the three-dimensional overlay image; display, via the first display, the third two-dimensional overlay image; render, based at least on second positions of locations of the iris structures and at least on the horizontal offset, a fourth two-dimensional overlay image associated with the three-dimensional overlay image; and display, via the second display, the fourth two-dimensional overlay image.

A medical visualization apparatus includes two or more imaging devices, two or more robotic arms, multiple magnetic sensors coupled with the imaging devices, and a processor. The two or more imaging devices are configured to acquire images of an organ of a patient. The two or more robotic arms are configured to move the respective imaging devices. The multiple magnetic sensors are configured to output, in response to a magnetic field of a position tracking system, signals indicative of positions and viewing directions of the imaging devices. The processor is configured to estimate a position and a viewing direction of each of the imaging devices based on the signals, and, using the estimated positions and viewing directions, combine the images of the organ acquired by the imaging devices into a virtual reality (VR) image of the organ, and present the VR image to a user on a VR viewer.

A binocular optical device for a retinal examination such as a binocular video stereo ophthalmoscope. The binocular video stereo ophthalmoscope may include two synchronized camera modules: a first camera having a first field of view, the first camera configured such that the first field of view is in a line-of-sight of a wearer of the binocular optical device; and a second camera having a second field of view, wherein the second camera is configured such that the second field of view at least partially overlaps the first field of view. Additionally, the optical device may include a memory, and a processor coupled to memory so that the processor may implement a method for performing improved eye examinations. For example, the processor may be configured to record, into the memory, first video data from the first camera synchronized with second video data from the second camera.

A system includes a first optical assembly (OA), a second OA and a processor. The first OA and second OA each coupled with a first and second microscope eyepiece, respectively. Each first and second OAs including a light source, configured to direct an emitted light beam (ELB) through the microscope toward an organ, and an image sensor, configured to sense a reflected light beam (RLB), which is reflected from the organ through the microscope, and to produce a signal indicative of the RLB. The processor is configured to control the first and second OAs to alternately direct the ELB and sense the RLB at first and second time intervals, and alternately display on a first display, during the first time intervals, images based on the signal from the first OA, and display on a second display, during the second time intervals, images based on the signal from the second OA.