An apparatus and method of measuring oxygenation of tissue in a non-invasive manner are provided. The apparatus comprises a light source configured to emit a light pattern to be projected onto the tissue, in which the light pattern comprises superimposed patterns having different patterns. A detector captures an image of a reflected light pattern which is reflected from the tissue as a result of the projected light pattern. A processor coupled to the detector can be configured to perform a transform on the image of the reflected light pattern and determine oxygenation of each of a plurality of layers of the tissue in response to the transform of the image. Polarimetry can be used in determining a change in polarization angle of light beam. Tissue oxygenation can be determined at a plurality of layers from one snapshot, for example oxygenation of retinal layers.

Disclosed herein are methods and systems for capillary oximetry (e.g., retinal capillary oximetry) using optical coherence tomography (OCT). The method may include obtaining an OCT angiography dataset, performing capillary segmentation based on the OCT angiography dataset to obtain capillary segments, resampling, registering, and/or averaging B-scans of the OCT angiography dataset that correspond to a first capillary segment of the capillary segments to obtain an averaged B-scan for the first capillary segment, determining an anterior and posterior border of the first capillary segment, and determining an oxygen saturation of the first capillary segment based on the averaged B-scan, the anterior border, and the posterior border. Other embodiments may be described and claimed.

The present disclosure provides methods for preventing or treating ocular diseases such as diabetic retinopathy and diabetic macular edema, wherein the methods include administering non-invasive photobiomodulation light therapy comprising a light having a wavelength in a red wavelength range. Biomarkers and diagnostic assays for selecting a treatment are also provided.

Systems and methods for quantitatively imaging retinal blood vessel oxygen saturation using retinal auto-fluorescence (AF) are provided. One or more excitation sources can be used to provide light to the retina, and retinal AF can be detected by one or more detectors. The quantitative level of oxygen saturation in the blood can be determined based on the intensity of AF.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

Configurations are disclosed for a health system to be used in various healthcare applications, e.g., for patient diagnostics, monitoring, and/or therapy. The health system may comprise a light generation module to transmit light or an image to a user, one or more sensors to detect a physiological parameter of the user's body, including their eyes, and processing circuitry to analyze an input received in response to the presented images to determine one or more health conditions or defects.

A method of retrieving data comprises receiving a user input in the form of a command, determining that the user input is a gesture, sending a request to a cloud server based on the determined gesture, receiving data from a knowledge base connected to the cloud server based on the request, and displaying virtual content at the user device based on the received data.

A method of retrieving data comprises receiving a user input in the form of a command, determining that the user input is a gesture, sending a request to a cloud server based on the determined gesture, receiving data from a knowledge base connected to the cloud server based on the request, and displaying virtual content at the user device based on the received data.

Systems and methods are provided for performing optical coherence tomography angiography for the rapid generation of en face images. According to one example embodiment, differential interferograms obtained using a spectral domain or swept source optical coherence tomography system are convolved with a Gabor filter, where the Gabor filter is computed according to an estimated surface depth of the tissue surface. The Gabor-convolved differential interferogram is processed to produce an en face image, without requiring the performing of a fast Fourier transform and k-space resampling. In another example embodiment, two interferograms are separately convolved with a Gabor filter, and the amplitudes of the Gabor-convolved interferograms are subtracted to generate a differential Gabor-convolved interferogram amplitude frame, which is then further processed to generate an en face image in the absence of performing a fast Fourier transform and k-space resampling. The example OCTA methods disclosed herein are shown to achieve faster data processing speeds compared to conventional OCTA algorithms.

The present application discloses a multi-spectral fundus imaging system and method using dynamic visual stimulation, where the imaging system includes: a multi-spectral light source capable of emitting multiple different wavelengths; a mid-pass mirror being a reflecting mirror with a central hole penetrating the reflecting mirror; an imaging focusing lens group; an image acquisition device; and a controller configured to control the multi-spectral light source and the image acquisition device to work synchronously; a pattern sent by the optical stimulation device is transmitted to the fundus through the image focusing lens group and the central hole of the mid-pass mirror in sequence; an imaging light reflected from the fundus passes through the central hole of the mid-pass mirror and the imaging focusing lens group in sequence; the image acquisition device acquires the image to complete a multi-spectral fundus image acquisition.