A device for carrying out fluorescence lifetime microscopy of an eye includes a probe light source for sending a probe beam into the eye as well as a fluorescence detector for measuring time-resolved fluorescence data using fluorescent light returning from the eye. The device further includes an interferometer for sending a measurement beam into the eye and carrying out optical coherence tomography on light reflected from structures within the eye. A beam splitter is provided to collinearly combine the probe beam and a measurement beam. This device can be used to combine optical coherence tomography (OCT) and fluorescence lifetime data for obtaining more descriptive results. The device is also equipped for correcting fluorescence lifetime data of a first structure of the eye by compensating for fluorescence contributions from a second structure of the eye.

A device for carrying out fluorescence lifetime microscopy of an eye includes a probe light source for sending a probe beam into the eye as well as a fluorescence detector for measuring time-resolved fluorescence data using fluorescent light returning from the eye. The device further includes an interferometer for sending a measurement beam into the eye and carrying out optical coherence tomography on light reflected from structures within the eye. A beam splitter is provided to collinearly combine the probe beam and a measurement beam. This device can be used to combine optical coherence tomography (OCT) and fluorescence lifetime data for obtaining more descriptive results. The device is also equipped for correcting fluorescence lifetime data of a first structure of the eye by compensating for fluorescence contributions from a second structure of the eye.

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.

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.

Optical sensors, systems and methods of use thereof are provided. Aspects of the subject systems include a sensor having a sensing surface and a configuration that directs a first optical signal to interact with the sensing surface at a first incident angle, and directs a second optical signal to interact with the sensing surface at a second incident angle. The subject sensors, systems and methods find use, e.g., in the diagnosis of dry eye disease.

A computer-implemented method of searching for a region indicative of a pathology in an image of a portion of an eye acquired by an ocular imaging system, the method comprising: receiving image data defining the image; searching for the region in the image by processing the received image data using a learning algorithm; and in case a region in the image that is indicative of the pathology is found: determining a location of the region in the image; generating an instruction for an eye measurement apparatus to perform a measurement on the portion of the eye to generate measurement data, using a reference point based on the determined location for setting a location of the measurement on the portion of the eye; and receiving the measurement data from the eye measurement apparatus.

An ophthalmic apparatus of an exemplary aspect performs the first and second OCT scans on a subject's eye. The first OCT scan is performed on the first region including the first site of the subject's eye, and the second OCT scan is performed on the second region including the second site. The ophthalmic apparatus acquires the first deviation information of the subject's eye prior to the first OCT scan and performs alignment, and also acquires the second deviation information of the subject's eye prior to the second OCT scan and performs alignment. The ophthalmic apparatus calculates the distance between the first site and the second site based on the first data acquired through the first OCT scan and second data acquired through the second OCT scan.

An image processing method performed by a processor and including: a step of acquiring a choroidal vascular image; a step of detecting a vortex vein position from the choroidal vascular image; a step of identifying a choroidal vessel related to the vortex vein position; and a step of finding a size of the choroidal vessel.

An image processing method performed by a processor and including: a step of acquiring a choroidal vascular image; a step of detecting a vortex vein position from the choroidal vascular image; a step of identifying a choroidal vessel related to the vortex vein position; and a step of finding a size of the choroidal vessel.