A subjective optometry apparatus includes an optometry unit having an optical member, being located in front of a subject eye, and changing optical characteristics of a target light flus with using the optical member, and a measurement optical system that has a light projecting optical system for applying measurement light emitted from a measurement light source to a fundus of the subject eye through the optometry unit, and a light receiving optical system in which a detector receives reflected light of the measurement light reflected on the fundus of the subject eye through the optometry unit, and that objectively measures the optical characteristics of the subject eye. An optical axis of the measurement optical system is set to be off-axis from an optical axis of the optical member in the optometry unit.

A subjective optometry apparatus includes an optometry unit having an optical member, being located in front of a subject eye, and changing optical characteristics of a target light flus with using the optical member, and a measurement optical system that has a light projecting optical system for applying measurement light emitted from a measurement light source to a fundus of the subject eye through the optometry unit, and a light receiving optical system in which a detector receives reflected light of the measurement light reflected on the fundus of the subject eye through the optometry unit, and that objectively measures the optical characteristics of the subject eye. An optical axis of the measurement optical system is set to be off-axis from an optical axis of the optical member in the optometry unit.

Disclosed techniques evaluate the visual field of a patient's eye using deep learning techniques. A computer system obtains a plurality of cross-sectional scan images of a retina captured by an optical coherence tomography (OCT) device. The retina has an inner retinal layer. A retinal optical texture analysis (ROTA) map of the inner retinal layer is generated from the plurality of cross-sectional scan images. The ROTA map includes a plurality of pixels, and each pixel of the ROTA map corresponds to a respective optical texture signature value S providing information about tissue composition and optical density of the inner retinal layer at a respective retinal location. The computer system applies a machine learning model to process the ROTA map of the inner retinal layer to determine visual field sensitivity of the retina.

Disclosed techniques evaluate the visual field of a patient's eye using deep learning techniques. A computer system obtains a plurality of cross-sectional scan images of a retina captured by an optical coherence tomography (OCT) device. The retina has an inner retinal layer. A retinal optical texture analysis (ROTA) map of the inner retinal layer is generated from the plurality of cross-sectional scan images. The ROTA map includes a plurality of pixels, and each pixel of the ROTA map corresponds to a respective optical texture signature value S providing information about tissue composition and optical density of the inner retinal layer at a respective retinal location. The computer system applies a machine learning model to process the ROTA map of the inner retinal layer to determine visual field sensitivity of the retina.

An apparatus and method for determining at least one visual refraction feature of a subject by showing a visual stimulus to the subject. The apparatus includes an optical system arranged on an optical path between an eye of the subject and the visual stimulus, the optical system being adapted to provide an optical power that is continuously variable as a function of time (t), a control unit for driving the optical power of the optical system and an input device adapted for recording a response of the subject relative to a sharpness of the visual stimulus seen through the optical system, the control unit being adapted to adjust a speed of variation of the optical power (S) as a function of the response recorded.

A vision testing device includes a light-occluding casing for administering vision tests. A viewing station is coupled to the light-occluding casing so a test subject can see a first digital display housed within the light-occluding casing. A second digital display is external to the light-occluding casing and is configured to receive touch-based input. One or more predetermined vision tests are displayed via the first digital display. The second digital display receives input corresponding to the vision test displayed via the first digital display. The second digital display includes response indicators that can be activated via a swiping motion on the second digital display, and a response is recorded as a result of the swiping motion. Each answer corresponding to a swiping motion is stored and output as a result of the vision test.

An intravascular catheter for nerve activity ablation and/or sensing includes one or more needles advanced through supported guide tubes (needle guiding elements) which expand to contact the interior surface of the wall of the renal artery or other vessel of a human body allowing the needles to be advanced though the vessel wall into the extra-luminal tissue including the media, adventitia and periadvential space. The catheter also includes structures which provide radial and lateral support to the guide tubes so that the guide tubes open uniformly and maintain their position against the interior surface of the vessel wall as the sharpened needles are advanced to penetrate into the vessel wall. Electrodes at the distal ends of the guide tubes allow sensing of nerve activity before and after attempted renal denervation. In a combination embodiment ablative energy or fluid is delivered to ablate nerves outside of the media.

Disclosed is an eye examination apparatus that can be used in professional settings. The eye examination apparatus has a body having a first eye opening and a second eye opening for a user to see into the eye examination apparatus using two eyes. The eye examination apparatus also has a first camera coupled to the body and positioned to acquire ophthalmic images through the first eye opening, and a second camera coupled to the body and positioned to acquire ophthalmic images through the second eye opening. The eye examination apparatus also has at least one display coupled to the body and positioned to be viewable through the first eye opening and the second eye opening.

Methods, systems and devices for determining contrast sensitivity function in a subject without requiring perceptual report by the subject.

Disclosed herein are methods and systems of evaluating test-retest precision using fractional rank precision or mean-average precision, comprising: a) collecting a test and a retest result of each subject, wherein the results are described in feature space(s) and collected from a vision test machine; b) selecting, a first test result of a first subject; c) calculating distances from the first test result to the retest result of each subject; d) assessing, a similarity between the first test result and the retest result of each subject by ranking the distances in a non-descending order; e) assessing a rank precision for the first subject based on a rank of a distance from the first test result to the retest result of the first subject; f) repeating b), c), d), and e) for each subject; and evaluating, the test-retest precision based on the rank precision for each of the plurality of subjects.