Abstract: A control section of an ophthalmologic image processing apparatus acquires an ophthalmologic image captured by an ophthalmologic image capturing apparatus. The control section acquires, for the acquired ophthalmologic image, evaluation information indicating an appropriateness for acquiring medical data including at least any of an analysis result relating to a disease of a subject eye, an analysis result relating to the structure of the subject eye, and an image converted from the acquired ophthalmologic image. The control section acquires the medical data based on the acquired ophthalmologic image. The control section changes a medical data acquisition method according to whether or not the evaluation information on the ophthalmologic image satisfies a criterion.

Abstract: A dye-deposited base body manufacturing apparatus manufactures a dye-deposited base body. The dye-deposited base body is used in a dyeing step of dyeing a resin body. A dye to be transferred to the resin body is deposited to a base body. The dye-deposited base body manufacturing apparatus is provided with a printing device, a conveyance device, and a base body movement device. The printing device prints a dye for dyeing the resin body on the base body. The conveyance device conveys a dyeing tray on which the dye-deposited resin body on which the dye is printed by the printing device is placed. The base body movement device moves the dye-deposited base body from a printing position by the printing device to a side of the conveyance device.

Abstract: An ultrasonic tonometer for measuring the eye pressure of an examinee's eye by means of an ultrasonic wave includes an ultrasonic actuator having an ultrasonic element and configured to irradiate the examinee's eye with the ultrasonic wave, and current adjustment means configured to adjust a current applied to the ultrasonic element to control the sound pressure or acoustic radiation pressure of the ultrasonic wave. With this configuration, the ultrasonic tonometer solving at least one of typical problems can be provided. For example, the ultrasonic tonometer capable of properly irradiating the examinee's eye with the ultrasonic wave can be provided.

Abstract: An OCT apparatus has a wavelength sweep light source changing a sweep frequency between a first sweep frequency and a second sweep frequency, an OCT optical system, an image processor, an FPN generation optical system generating a first FPN and a second FPN generated at a position separated from a zero delay position with respect to the first FPN, a detector, and a controller. The controller acquires first correction information based on the first FPN detected in a case of the first sweep frequency, and second correction information based on the second FPN detected in a case of the second sweep frequency. The controller applies the first correction information to an arithmetic process on a spectral interference signal obtained in the case of the first sweep frequency, and the second correction information to the arithmetic process on the spectral interference signal obtained in the case of the second sweep frequency.

Abstract: An OCT device that selectively captures OCT data of a fundus of a subject eye and OCT data of an anterior segment of the subject eye. The OCT device includes a spectroscopic optical system that spectroscopically detects interference light between reference light and reflection light of measurement light irradiated on the subject eye. The spectroscopic optical system includes a collimating system that collimates the interference light, a spectrally dispersive element that spectrally disperses the collimated interference light for each spectral wavelength, an image formation system that forms an image of the interference light for each spectral wavelength on an imaging surface, and a light receiving element disposed on the imaging surface. An object-side focal length of the collimating system is shorter than an image-side focal length of the image formation system.

Abstract: A controller of a medical image processing device acquires a medical image of a subject. The controller causes a display to display a pre-modification image in which at least the position or range of a lesion to be modified on the medical image is displayed. The controller receives an instruction to designate at least the position or range of the lesion to be modified in a state in which the pre-modification image is displayed on the display. When at least the position or range of the lesion is designated, the controller acquires a predicted disease image in which the lesion is modified according to the designated information on the basis of the medical image. The controller causes the display to display the predicted disease image and the pre-modification image simultaneously or in a switching manner.

Abstract: An ophthalmic apparatus includes a first optical system for acquiring information regarding an eye refractive power of a subject eye based on reflection light of measurement light reflected from a fundus of the subject eye, a second optical system for acquiring anterior segment information regarding a shape of an anterior segment of the subject eye, and a calculation controller that acquires an axial length of the subject eye based on an on-surface eye refractive power, which is the eye refractive power on a cross section on which an optical axis of the first optical system is arranged and the anterior segment information regarding the cross section.

Abstract: An eyeglass lens peripheral edge processing system includes a plurality of eyeglass manufacturing devices and a robot arm. The plurality of eyeglass manufacturing devices 1 perform mutually different steps out of a plurality of steps for processing the eyeglass lens, and include mutually different housings. The robot arm includes an arm unit and a holding unit. The arm unit has a plurality of joint portions. The holding unit is disposed in the arm unit to hold and release an object. The robot arm rotates the arm unit via the joint portion to move the object held by the holding unit. The robot arm rotates the arm unit to move the eyeglass lens between the plurality of eyeglass manufacturing devices.

Abstract: A first region is a circular region located at the centermost position. A first refractive power is uniformly added to the first region regardless of the distance from an axis of a lens part. A second region is a ring-like region located outside and adjacent to the first region. In the second region, a refractive power is increased or decreased from the first refractive power as the distance from the axis becomes larger. An outer region is a ring-like region located outside the second region. A reference refractive power for focusing on a far point is added to the outer region. An MTF curve at spatial frequency of 50 lp/mm relating to light passing through a region having a radius of 1.5 mm around the axis has one maximal value and no minimal value in a range of a defocusing value of ?0.5 D to 0.5 D.

Abstract: An eyeglasses lens processing system includes the transport robot that holds an eyeglasses lens in a holding portion to transport the eyeglasses lens, an eyeglasses lens processing device that processes the eyeglasses lens held between a pair of the lens holding shafts, a shape information acquisition unit that acquires information about a refractive surface shape of the eyeglasses lens, and a relative movement unit that changes a relative positional relationship between the eyeglasses lens held by the holding portion of the transport robot and the pair of lens holding shafts. The relative movement unit at least two-dimensionally changes the relative positional relationship, based on acquired information of the refractive surface shape, to insert the eyeglasses lens into a predetermined insertion position in a gap between the pair of lens holding shafts.

Abstract: A processor of an ophthalmologic image processing device acquires an ophthalmologic image photographed by an ophthalmologic image photographing device. The processor inputs the ophthalmologic image into a mathematical model trained by a machine learning algorithm to acquire a result of an analysis relating to at least one of a specific disease and a specific structure of a subject eye. The processor acquires information of a distribution of weight relating to an analysis by a mathematical model, as supplemental distribution information, for which an image area of the ophthalmologic image input into the mathematical model is set as a variable. The processor sets a part of the image area of the ophthalmologic image, as an attention area, based on the supplemental distribution information. The processor acquires an image of a tissue including the attention area among a tissue of the subject eye and displays the image on a display unit.

Abstract: The method is used for creating an all-in-focus image of a portion of an iridocorneal angle of an eye starting from a plurality of images (610), these images being shallow field-depth images of that portion taken with different focus planes but with a same image frame; the method comprises the steps of: A) pre-processing (620) said plurality of images so to obtain a plurality of single-channel images if the images of said plurality are color images, B) calculating (630) an initial focus map starting from said plurality of single-channel images, C) creating (640) an initial estimated all-in-focus image starting from said initial focus map and said plurality of single-channel images, D) calculating (650) an initial edge map starting from said initial focus map and said plurality of single-channel images, E) iterating (660) a regularization process until a stop regularization condition is met, wherein the regularization process comprises removing one or more edge points of the initial edge map by considering a r

Abstract: A processor of an ophthalmologic image processing device acquires intermediate information from which an influence of a position shift with respect to a first direction at each position in a second direction is excluded, for each of a first ophthalmologic image and a second ophthalmologic image (S4). The processor performs alignment with respect to the second direction between the first ophthalmologic image and the second ophthalmologic image, based on the intermediate information (S5, S6). The processor performs alignment with respect to the first direction between pixels at the same position with respect to the second direction in the first ophthalmologic image and the second ophthalmologic image for which the alignment with respect to the second direction has been performed (S7).

Abstract: There is provided a target presentation device for presenting a target to a subject eye. The target presentation device including a format setting means that sets a display format of a visual acuity value of an examination target used in an examination of the subject eye, based on an operation signal, and an output means that outputs a target to be presented to the subject eye, based on the visual acuity value represented in the display format set by the format setting means.

Abstract: An ophthalmic apparatus for examining an examinee's eye, comprising a face support member to support an examinee's face, a human detection member to detect whether or not the face is supported by the face support member, a notification member to give an announcement to an examinee or an examiner, and a control member to control the notification member based on a detection result of the human detection member.

Abstract: In this invention, a control unit in an ophthalmic image processing device acquires an ophthalmic image captured by an ophthalmic image capture device (S11). The control unit, by inputting the ophthalmic image into a mathematical model that has been trained by a machine-learning algorithm, acquires a probability distribution in which the random variables are the coordinates at which a specific site and/or a specific boundary of a tissue is present within a region of the ophthalmic image (S14). On the basis of the acquired probability distribution, the control unit detects the specific boundary and/or the specific site (S16, S24).

Abstract: There are provided an ophthalmologic information analysis apparatus and an ophthalmologic information analysis program capable of efficiently performing follow-up observation of a subject eye. There is provided: a central processing unit configured to: acquire first analysis data obtained by analyzing an analysis region of the subject eye in first OCT data including the analysis region; acquire second OCT data captured on a day different from that of the first OCT data; perform an analysis comprising: specifying the analysis region corresponding to the first analysis data from the second OCT data; and acquiring second analysis data obtained by analyzing the analysis region in the second OCT data; and control a display to display the first analysis data and the second analysis data in a comparable manner.

Abstract: A spectacle lens processing device includes a drilling tool and a processor. The processor acquires a position of a hole formed in a lens and a pantoscopic angle. The pantoscopic angle is an angle in a vertical plane between a visual axis of a user and an optical axis of the lens when the user wears spectacles in which the lens after processing is mounted and faces forward. The processor determines, based on the acquired pantoscopic angle, a relative angle between the drilling tool and the lens when the hole is formed in the lens in the position of the hole.

Abstract: In this invention, a control unit in an ophthalmic image processing device acquires an ophthalmic image captured by an ophthalmic image capture device (S11). The control unit, by inputting the ophthalmic image into a mathematical model that has been trained by a machine-learning algorithm, acquires a probability distribution in which the random variables are the coordinates at which a specific site and/or a specific boundary of a tissue is present within a region of the ophthalmic image (S14). On the basis of the acquired probability distribution, the control unit detects the specific boundary and/or the specific site (S16, S24).

Abstract: A processor of a control apparatus, which controls an eyeglasses lens machining apparatus, performs a check operation execution step (S14, S17, S19, and S21 to S23) and a result output step (S24), based on a state management program. In the check operation execution step, the processor causes the eyeglasses lens machining apparatus to execute a check operation for checking a state of the eyeglasses lens machining apparatus. In the result output step, the processor outputs information indicating a result of the executed check operation.