Topcon Corporation

Dawei Li

Kinpui Chan

Zhenguo Wang

Toshihiro Mino

Jongsik Kim

Zaixing Mao

Song Mei

An ophthalmological imaging device includes illumination optics having an illumination light source that outputs an illumination light, a scanner that redirects the illumination light toward a portion of an object to be imaged, and an optical image capture device including a camera that receives backscattered light that is scattered from the illumination light by the object and captures first and second images of the backscattered light. The device also includes a control processor that controls the scanner and the optical image capture device to cause the optical image capture device to capture the first and second images of the object. The first and second images are captured by the camera at different times and extracted from different portions of the backscattered light. The device also includes an image processor that generates a stereoscopic image from the first and second images of the object.

Method and apparatus for stereoscopic color eye imaging

An ophthalmic apparatus includes an illumination optical system, an imaging optical system, and a controller. The illumination optical system is configured to generate illumination light using light from a light source, and to illuminate a changeable illumination region on a predetermined site of a subject's eye with the illumination light having a light intensity corresponding to a size of the illumination region. The imaging optical system is configured to guide returning light of the illumination light from the subject's eye to a light receiving surface of an image sensor. The controller is configured to control the image sensor to set an opening range so as to overlap an illumination range of the returning light on the light receiving surface corresponding to the illumination region and to capture a light receiving result obtained by a light receiving element in the set opening range.

Ophthalmic apparatus, method of controlling same, and recording medium

Optical coherence tomography (OCT) angiography (OCTA) data is generated by one or more machine learning systems to which OCT data is input. The OCTA data is capable of visualization in three dimensions (3D) and can be generated from a single OCT scan. Further, motion artifact can be removed or attenuated in the OCTA data by performing the OCT scans according to special scan patterns and/or capturing redundant data, and by the one or more machine learning systems.

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Oakland, NJ, United States of America

Dawei Li