This invention relates to, in part, methods and compositions that are useful for the diagnosis, treatment, or prevention of a blinding eye disease, including in the discovery of drugs that are efficacious against these diseases. Diseases include, for example, age related macular degeneration and reticular pseudodrusen disease, and the methods described herein include, for example, the method named delayed near infrared analysis (DNIRA).

A computer-implemented method of processing repeat B-scans of an imaged region of a body part, the imaged region including an anatomical feature in a first subregion and vasculature of interest in a second subregion of the imaged region, to generate cropped B-scans for use in generating OCT angiography data which provides a representation of the vasculature of interest, the method comprising processing each B-scan of the repeat B-scans by: selecting a subset of the data elements of the B-scan such that the selected data elements are distributed along a representation of the anatomical feature in the B-scan; using the selected data elements to define a respective subregion of interest in the B-scan, which includes OCT data acquired from the second subregion containing the vasculature of interest; and cropping the B-scan to leave the subregion of interest in the B-scan.

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.

The present invention relates to systems for low-energy (e.g., 1.0 nJ-7.0 nJ) photoacoustic microscopy and methods for employing such systems. In certain embodiments, such systems employ a low-energy nanosecond pulsed laser beam (NPLB), at least two amplifiers, and a data acquisition system with at least three channels to generate at least three digital signals (e.g., which are averaged and normalized to the energy of the NPLB). In other embodiments, provided herein are systems for combined use of photoacoustic microscopy, dye-based microscopy (e.g., with fluorescein), and optical coherence tomography.

The present invention relates to an eye phantom for evaluating a retinal angiography image, and a manufacturing method therefor. A purpose of the present invention is to provide an eye phantom for evaluating a retinal angiography image, capable of simulating even the vascular structure and blood flow of a retina so as to be more similar to an actual retinal structure than a conventional eye phantom; and a manufacturing method therefor. More specifically, a purpose of the present invention is to provide an eye phantom for evaluating a retinal angiography image, including various shapes of fine fluid channel structures corresponding to the vascular structure formed in an actual retina; and a manufacturing method therefor.

Disclosed is a fluorescent fundus camera which is one kind of ophthalmological diagnostic equipment, using a blue excitation light beam when a contrast medium appears in the retinal vessels. When an abnormal blood vessel is present, the contrast medium leaks into the retina or appears as color in tissues surrounding the retina, and the presence of damage to the retina and the appearance of abnormal neovascularization can be found.

A method of processing optical coherence tomography angiography, OCTA, data comprising an array of columns of data elements to generate corrected OCTA data showing reduced projection artefacts in enface projection, the OCTA data having been generated from repeat B-scans, the method comprising: (i) calculating a correlation value indicative of a correlation between a first sequence of the data elements, whose respective locations within respective B-scans correspond to a location of a first data element within the array, and a second sequence of the data elements, whose respective locations within respective B-scans correspond to a location of a second data element within the array; (ii) calculating a correction for the second data element based on the first data element and the calculated correlation value; and (iii) applying the calculated correction to the second data element, wherein processes (i) to (iii) are performed multiple times to generate the corrected OCTA data.

Systems and methods for use in measuring sympathetic nervous system activity or blood vessel autoregulation corrected for sympathetic activity. The choroid in the human eye is imaged and, using the resulting image, the vascular perfusion density (VPD) in the choroid is measured. VPD provides a measurement that is directly related to sympathetic nervous system activity. The effect of stimuli on sympathetic nervous system activity can be measured by comparing pre-stimuli VPD measurements with post-stimuli measurements. Quantifying VPD can be performed by determining pixel density within specific areas of the choroid image. Altered sympathetic nervous system activity can be detected in a subject by comparing that subject's VPD measurements to baseline VPD measurements from healthy individuals. Blood vessel autoregulation can be measured by imaging changes in other blood vessels in the eye and correcting with choroid VPD measurements of sympathetic activity.

Compounds, compositions, kits and methods for performing angiography related to ocular diseases, are disclosed.

The present disclosure relates to computing blood pressure from images of the outer eye of an individual. Images of the outer eye of an individual obtained via a high magnification camera can be analyzed using computer vision to identify features associated with blood vessels in the outer eye, such as blood vessel size or diameter, blood vessel wall thickness, distance between vessels or vessel segments, area between vessels or vessel segments, and/or blood velocity through the vessels. These blood vessel features derived from images may be used to compute a blood pressure measure(s) for an individual through use of an artificial intelligence algorithm which relates the blood vessel features to blood pressure values.