An image processing apparatus obtains a moving image of an eye area, identifies a region of blood cells in the obtained moving image, and determines the number of determined regions of blood cells.

An optical coherence tomography device includes an OCT optical system that irradiates a tissue of the subject's eye with measurement light from a light source, and detects interference between reference light and the measurement light reflected from the tissue by using a detector, and a processor, in which the processor performs a generation process of acquiring A-scan data based on a signal output from the detector in a cycle of 300 kilohertz or more and generating three-dimensional OCT data at any time based on the acquired A-scan data, and performs an analysis process on each piece of the three-dimensional OCT data generated at any time through the generation process, so as to output a real-time analysis result of the three-dimensional OCT data which is generated at any time.

An eye-imaging apparatus and system is described including arrayed optical fibers having a high numerical aperture and circular fiber array ends arranged at skewed angles relative to the optical axis of the imaging path. Circular fiber array ends are arranged to emit the illumination light into an eye at a skewed angle and a light intensity distribution converter along the illumination path to convert a bell-shaped distribution into a top-hat distribution. As a result, illumination uniformity on the retina of the eye is improved.

An ophthalmic phototherapy device and associated phototherapy treatment method tor promoting healing of damaged or diseased eye tissue. The ophthalmic phototherapy device includes a light emitting mechanism for transmitting light of at least one preselected wavelength to the eye tissue. The ophthalmic phototherapy method includes directing light of at least one wavelength for a selected period of time to a portion of damaged or diseased eye tissue, whereby the light transmitted to the damaged or diseased eye tissue stimulates cellular activity in the eye tissue to promote healing.

Disclosed are systems and methods for generating wide-field optical coherence tomography angiography (OCTA) images. In embodiments, multiple OCTA scans of a sample are automatically acquired at overlapping locations. The systems and methods include functionality to adaptively control the scanning procedure such that eye blink and eye motion events are detected in real time and accounted for during 3D scan acquisition. Also disclosed are methods for detecting and correcting motion-related artifacts in OCTA datasets which allow for the longer scan times over larger fields of view required for wide-field imaging. These methods may include division of en face angiogram images into a set of motion-free parallel strips, and application of gross and fine registration methods to align overlapping strips into a motion-corrected composite image. A series of overlapping motion-corrected composite images may be combined into a larger montage to enable wide-field OCTA imaging using multiple OCTA scans.

The disclosure herein provides methods, systems, and devices for improving optical coherence tomography machine outputs through multiple enface optical coherence tomography angiography averaging techniques. The embodiments disclosed herein can be utilized in ophthalmology for employing optical coherence tomography (OCT) for in vivo visualization of blood vessels and the flow of blood in an eye of a patient, which is also known generally as optical coherence tomography angiography (OCTA). The embodiments disclosed herein can use linear registration, affine registration and/or elastic registration to align a plurality of optical coherence tomography angiography images or videos at corresponding superficial vascular layers having well-defined features or landmarks, and to apply the same linear registration, affine registration and/or elastic registration settings and/or data to corresponding deeper tissue layers, such as the choriocapillaris, which generally do not have well-defined features or landmarks, in order to align a plurality of corresponding deeper tissue layers for the purpose of averaging the images or video to produce a clearer and more accurate image or video of the tissue structure at deeper tissue layers.

An ophthalmologic apparatus of an embodiment example includes a front image acquiring device, a first search processor, and a second search processor. The front image acquiring device is configured to acquire a front image of a fundus of a subject's eye. The first search processor is configured to search for an interested region corresponding to an interested site of the fundus based on a brightness variation in the front image. The second search processor is configured to search for the interested region by template matching between the front image and a template image in the event that the interested region has not been detected by the first search processor.

Systems and methods for monitoring eye health. The systems and methods monitor eye health by measuring scleral strain by way of an implantable monitor, a wearable monitor configured in eyeglasses, or an external monitor using a portable tablet computing device. Certain embodiments of the strain monitor may be utilized to measure the strain on any surface to which it is attached, including, but not limited to, the skin of a patient or the surface of a structure such as a building or a bridge.

Techniques are introduced to improve the ability of OCT to determine more accurately the nature of the flow of fluids in the eye, including faster measurements of the flow and a method to reduce geometric uncertainties due to eye movements.

Methods and systems for improving quantification of OCT angiography data are disclosed. The disclosure specifically relates to methods for compensating for the effect of tissue reflectance to improve the accuracy and repeatability of OCT angiography measurements. These improvements are effected by deriving and then utilizing a dynamic thresholding approach to process decorrelation data to properly classify flow versus non-flow data in OCT angiograms. The disclosed methods overcome quantification errors associated with within-scan variations in reflectance as well as repeatability problems associated with differences in scan quality over successive imaging sessions.