An ophthalmological measuring device including an ocular measuring unit including a front face provided with a frame encircling a translucent plate the size and curvature of which are suitable for covering the ocular field of said patient, a device for providing uniform backlighting of the translucent plate, located behind the translucent plate, at least one camera equipped with an objective placed in line with a hole in the translucent plate, one or more point light sources in apertures on the edges of the translucent plate, for illuminating the eyes of the patient, and means for fastening one or more additional ophthalmological measuring devices to the translucent plate.

A method for assessing glaucoma in a patient may involve measuring an intraocular pressure of the patient and measuring an intracranial pressure in the patient, using a noninvasive eye tracking system. The method may then involve comparing the intraocular pressure to the intracranial pressure and assessing glaucoma in the patient, based on the comparing of the intraocular pressure to the intracranial pressure.

In an ophthalmic system of some embodiments, ophthalmic imaging apparatuses include slit lamp microscopes, and information processing system is connected to each ophthalmic imaging apparatus via a communication path. Each ophthalmic imaging apparatus is configured to acquire a three dimensional image by photographing a subject's eye, and transmit the three dimensional image to the information processing system. The information processing system is configured to receive the three dimensional image, store three dimensional images received, perform machine learning and/or data mining based on the three dimensional images, store knowledge acquired by the machine learning and/or data mining, and generate diagnosis support information by performing inference based on a three dimensional image of a subject's eye transmitted from one of the slit lamp microscopes knowledge stored in the knowledge storage.

Apparatus and method for imaging fundus of eye. The apparatus (100) includes an optical system (116), an image sensor (114) to capture a still image or a video through the optical system (116), a user interface (102) including a display (104) to display data to a user of the apparatus, and one or more processors (106). The one or more processors (106) cause performance of at least the following: setting the image sensor (114) to capture an aiming video; detecting a retina of the eye in the aiming video; setting the display (104) to display the aiming video with a highlight of the detected retina; and setting the image sensor (114) to capture one or more final still images of the fundus or a final video of the fundus.

In some embodiments, techniques for using machine learning to enable visible light pupilometry are provided. In some embodiments, a smartphone may be used to create a visible light video recording of a pupillary light reflex (PLR). A machine learning model may be used to detect a size of a pupil in the video recording over time, and the size over time may be presented to a clinician. In some embodiments, a system that includes a smartphone and a box that holds the smartphone in a predetermined relationship to a subject's face is provided. In some embodiments, a sequential convolutional neural network architecture is used. In some embodiments, a fully convolutional neural network architecture is used.

This disclosure provides techniques and apparatuses for displaying stereoscopic video data associated with different viewing angles of a target surgical site. An example ophthalmic imaging apparatus includes a first camera head mounted in a first orbital position above a target surgical site associated with an eye of a patient, wherein the first camera head includes at least one stereoscopic lens set providing a first viewing angle of the target surgical site. Additionally, the ophthalmic imaging apparatus includes at least a second camera head mounted in a second orbital position above the target surgical site, wherein the second camera head includes at least one additional stereoscopic lens set providing a second viewing angle of the target surgical site different from the first viewing angle of the target surgical site.

A device for measuring eye movement in a human subject comprises a housing, at least one stimulator mounted to the housing, and a sensor. The at least one stimulator is configured to provide stimulus to one or both eyes of the subject. The sensor is configured to collect information related to movement of one or both eyes of the subject. The device also includes a user interface that is configured to control the at least one stimulator and display information collected by the camera.

A telestroke eye examination accessory device, a system incorporating the same, and methods of using the same, are described. The telestroke eye examination accessory device includes eyewear having a first eye well and a second eye well, a first camera positioned within the first eye well, a second camera positioned within the second eye well, a first light array having lights in each of four different quadrants in the first eye well, and a second light array having lights in each of four different quadrants in the second eye well. The system further includes a graphical user interface useful for a practitioner using the telestroke eye examination accessory device to assess the field of vision of a patient wearing the eyewear.

An optical system and an operating method thereof are disclosed. The optical system includes a light source device, a gaze module and a fundus detection device. The light source device includes a light source module, a light intensity modulation module and a lens module. The light source module is used to emit a therapy light to an eye. The light intensity modulation module is used to modulate an intensity of the therapy light. The lens module is used to control a depth of the therapy light. The gaze module is used to be gazed by the eye to fix a fundus of the eye. The fundus detection device and the light source device are integrated to detect the fundus to obtain a fundus image.

A method of screening a pupil of a subject to determine whether the pupil reflex resembles a canonical pupil reflex is disclosed. The method comprises the steps of stimulating the pupil with a stimulus source, such as a pupilometer and determining whether one of various pupillary response conditions is met.