Utilization of a contact device placed on the eye in order to detect physical and chemical parameters of the body as well as the non-invasive delivery of compounds according to these physical and chemical parameters, with signals being transmitted continuously as electromagnetic waves, radio waves, infrared and the like. One of the parameters to be detected includes non-invasive blood analysis utilizing chemical changes and chemical products that are found in the conjunctiva and in the tear film. A transensor mounted in the contact device laying on the cornea or the surface of the eye is capable of evaluating and measuring physical and chemical parameters in the eye including non-invasive blood analysis. The system utilizes eye lid motion and/or closure of the eye lid to activate a microminiature radio frequency sensitive transensor mounted in the contact device. The signal can be communicated by wires or radio telemetered to an externally placed receiver. The signal can then be processed, analyzed and stored. Several parameters can be detected including a complete non-invasive analysis of blood components, measurement of systemic and ocular blood flow, measurement of heart rate and respiratory rate, tracking operations, detection of ovulation, detection of radiation and drug effects, diagnosis of ocular and systemic disorders and the like.

A method and system for compensating for motion artefacts in Optical Coherence Tomography is provided. A B-scan set includes a plurality of B-scan images acquired at least a position corresponding to a target position of a fundus of an eye. The plurality of B-scans within the B-scan set are aligned using a first alignment process and a second alignment process, where the second alignment process is performed on the B-scan images within the B-scan set aligned by the first alignment process. The first alignment process aligns the B-scan images within the B-scan set at a first resolution in at least an axial direction, and the second alignment process aligns the B-scan images within the B-scan set aligned in the first alignment process at a second resolution having a higher resolution than the first resolution in at least the axial direction.

The invention relates to methods and systems for automatically detecting an optic disc in a retinal fundus autofluorescence image. A monochromatic image of a retina is obtained by stimulated autofluorescence. The image is processed using filters and machine learning to identify blood vessel segments and to identify pixels as possible optic disc pixels. The possible optic disc pixels are grouped into clusters, and a best fit circle (or portion thereof lying within the image) is fitted to each cluster. The circle may be enlarged to improve image contrast at the circumference of the circle. Blood vessel segments that intersect the circle are identified, and metrics are derived from such intersecting blood vessel segments. These metrics are assessed by machine learning processes to determine the probability that each cluster contains the optic disc, and the contours of the optic disc are further determined by analysis of the possible optic disc pixels.

A method for checking vital parameters. A quantitative determination of distance and/or thickness of components of the eye is performed on the basis of data of a laser feedback interferometry measurement of a human eye. A change of at least one vital parameter is ascertained in the ascertainment of a change over time of a determined distance and/or of a determined thickness of a component of the eye. The components of the eye comprising at least a cornea and/or an iris and/or a pupil and/or a lens and/or a vitreous body and/or a retina. The vital parameter comprising an eye pressure and/or a high blood pressure and/or an arteriosclerosis and/or a metabolism and/or an abnormality of the retina in terms of color or topography and/or a blood clot. A device for checking vital parameters is also described.

A system and method for assessing blood flow include: an ocular lens; a light source; a digital video camera; a biosensor; a trigger; and a computer. The ocular lens is for viewing a fundus of an eye. The light source is for illuminating the fundus. The digital video camera is for imaging the fundus. The biosensor is for sensing a pulse waveform. The computer is configured for: recording input frames and pulse waveform data in response to an input from the trigger; defining a low-pass frequency and a high-pass frequency from the pulse waveform data; stabilizing the input frames; enhancing contrast of the input frames; separating the input frames into sub-channels; conducting eulerian video magnification for color amplification using the inputs of image sampling rate, the low-pass frequency, the high-pass frequency, and an amplification factor; reconstructing the sub-channels into output frames; and combining the output frames with the input frames.

The blood flow analysis apparatus includes an acquisition unit and an extractor. The acquisition unit is configured to acquire blood flow information representing time-course changes in a blood flow velocity of a single retinal artery or retinal vein. The extractor is configured to extract one or more parameters corresponding to change in the blood flow velocity from the blood flow information.

Provided are apparatuses, a non-transitory computer-readable medium or media, and methods for supporting predicting of vascular disease using a fundus image of a subject. In certain aspects, disclosed a method including the steps of: extracting a feature information from a first fundus image of the subject based on a machine learning model; generating a second fundus image having a feature which is corresponding to the feature information by mapping a saliency factor to the first fundus image; and displaying the first fundus image and the second fundus image on a display device.

An example method for automating a quality assessment of digital fundus image can include: obtaining a digital fundus image file; analyzing a first quality of the digital fundus image file using a model to estimate an optimal time to capture a fundus image; and analyzing a second quality of the digital fundus image file using the model to estimate a disease state.

The invention relates to a device and a method for examining the retinal vascular endothelial function of the vessels of the retina at the fundus (F) of a patient's eye. Using a fundus camera, the vessels of the retina are stimulated with flicker light during a stimulation phase and sequences of images of areas of the fundus (F) are recorded, from which vascular parameters are derived which describe the retinal vascular endothelial function of the vessels. By imaging a macula stop (MB), which covers the macula, onto the fundus (F), the fundus (F) can be illuminated with a higher light intensity, which improves the stimulation effect and the image quality and/or reduces the strain on the patient.

An ophthalmic imaging system provides an automatic focus mechanism based on the difference of consecutive scan lines. The system also provides of user selection of a focus point within a fundus image. A neural network automatically identifies the optic nerve head in an FA or ICGA image, which may be used to determine fixation angle. The system also provides additional scan tables for multiple imaging modalities to accommodate photophobia patients and multi-spectrum imaging options.