Abstract:
An observation apparatus includes a light source unit, an irradiation optical system, an imaging optical system, a modulation unit, an imaging unit, an analysis unit, beam splitters and, and mirrors. The analysis unit obtains a real part of a function χ(t)=log [1+Uobj(t)/Uref(t)], defined by time series data Uobj(t) of a complex amplitude image of object light on an imaging plane and time series data Uref(t) of a complex amplitude image of reference light on the imaging plane, based on time series data I(t) of an intensity image of interference light on the imaging plane and time series data Iref(t) of an intensity image of the reference light on the imaging plane. Further, the analysis unit obtains an imaginary part of χ(t) from the real part of χ(t) using the Kramers-Kronig relations, and further obtains Uobj(t).
Abstract:
An ocular fundus image processing device acquires a first image generated by irradiating an ocular fundus of a subject with excitation light of a blue wavelength and a second image generated by irradiating the ocular fundus with excitation light of a green wavelength, generates three trained models for predicting a correction factor for calculating a quantity of macular pigment of the subject from input images including the first image and the second image through training using three different initial values, predicts three correction factors by inputting the input images including the first image and the second image to the three trained models, calculates a statistical value of the three correction factors and derives the statistical value as the correction factor of the subject, and calculates a quantity of macular pigment of the subject on the basis of the first image and the correction factor of the subject.
Abstract:
An evaluation method is a method for evaluating a cell mass containing a plurality of aggregated cells, and includes an imaging step of capturing an image of light obtained from the cell mass by irradiating the cell mass with light, an analysis step of setting a reference point for the cell mass included in image data obtained by the imaging step, setting sampling circles centered on the reference point, and determining a parameter for a state of the cell mass based on image data included in regions on the sampling circles, and an evaluation step of evaluating the cell mass based on the parameter.
Abstract:
An interference observation apparatus includes a light source, a splitting beam splitter, a combining beam splitter, a beam splitter, a mirror, a beam splitter, a mirror, a piezo element, a stage, an imaging unit, an image acquisition unit, and a control unit. An interference optical system from the splitting beam splitter to the combining beam splitter forms a Mach-Zehnder interferometer. The mirror freely moves in a direction perpendicular to a reflecting surface of the mirror. The total number of times of respective reflections of first split light and second split light in the interference optical system is an even number.
Abstract:
The present invention relates to a cell assessment method characterized in including an acquisition step of acquiring an optical path length image of a small cell clump, an extraction step of extracting a cell nucleus region within the acquired optical path length image, a comparison step of comparing an optical path length of an inside and an optical path length of an outside of the extracted cell nucleus region, and an assessment step of assessing whether or not a cell is a stem cell based on the comparison results.
Abstract:
A refractive index distribution evaluation method, evaluation device, and information processing program, comprising: a data acquisition step or a data acquisition unit for acquiring refractive index distribution data for an object of observation; a selection step or a selection unit for selecting whether a target included in the refractive index distribution data is an evaluation target; and an evaluation step or an evaluation unit for evaluating the refractive index distribution of the evaluation target.
Abstract:
A discrimination device is a device that discriminates whether or not a discrimination target object is a blood cell based on an image of the discrimination target object, and includes a blood cell feature extraction unit that acquires an image of a blood cell and extracts a feature of the blood cell from the acquired image, a discrimination target object feature extraction unit that acquires the image of the discrimination target object and extracts a feature of the discrimination target object from the acquired image, and a discrimination unit that discriminates whether or not the discrimination target object is a blood cell through anomaly detection based on the extracted feature of the blood cell and the feature of the discrimination target object.
Abstract:
The method includes an acquisition step for model generation of acquiring a hologram for model generation in which an image of a cell is captured and which is used to generate a learning model, a generation step for model generation of generating a new hologram for model generation having a different focal position from the acquired hologram for model generation and increasing the number of holograms for model generation, and a learning model generation step of generating a learning model by performing machine learning using the increased holograms for model generation.
Abstract:
Provided is an observation target cover for interference observation using first light and second light having a coherent length longer than that of the first light so as to acquire an interference light image of an observation target by the first light while adjusting an optical path length difference based on an interference result of the second light, the observation target cover including: a transmission reflection portion that transmits the first light and reflects the second light; and a support portion for supporting the transmission reflection portion so that a placement surface on which the observation target is placed and the transmission reflection portion face each other with a predetermined gap therebetween.
Abstract:
A cell observation system observes a cell moving in a flow path with a fluid, and includes a first observation apparatus, a second observation apparatus, and a control device. The first observation apparatus includes an objective lens and a line camera. The second observation apparatus includes an objective lens and an area camera. The control device analyzes first imaging data output from the first observation apparatus to determine whether the cell satisfies a specific condition, instructs the area camera to output second imaging data of the cell determined to satisfy the specific condition, and analyzes the second imaging data output from the second observation apparatus to determine whether the cell is a specific cell.