Canon Kabushiki Kaisha

Arizona Board of Regents on Behalf of the University of Arizona

Akira Eguchi

Thomas Dean Milster

A new diversity concept is provided for achieving accurate phase retrieval with a single shot acquisition. Multiple irradiance data are obtained by a diffractive grating or CGH designed to generate multiple diffraction orders with different diversity values. The effective filters associated with the individual diffraction orders from the diffractive grating or CGH are calculated. The effective filters are extracted by numerical propagation, and they preferably include both real and imaginary values, which signify both absorption and phase shift versus position in the filter plane. The reconstruction process utilizes accurate knowledge of the effective filters for each diffraction order for high quality reconstruction of the extrinsic phase.

Complex diversity for accurate phase retrieval with single shot acquisition

An aberration estimating method includes acquiring a light intensity distribution of an optical image of an object formed via a target optical system, acquiring an approximated aberration of the target optical system based on the light intensity distribution, determining an initial value of the aberration of the target optical system based on the approximated aberration, and estimating an aberration of the target optical system using the initial value.

Aberration estimating method, aberration estimating apparatus, and storage medium

The image estimating method is configured to estimate, using image data generated by capturing an object via an image-pickup optical system at a plurality of positions that are spaced at first intervals in an optical-axis direction of the image-pickup optical system, image data at a position different from the plurality of positions. The image estimating method includes an image acquiring step of acquiring image data, a frequency analyzing step of calculating a transverse cutoff frequency in a direction perpendicular to the optical-axis direction based on the image data acquired in the image acquiring step, and an interval calculating step of calculating the first interval based on the transverse cutoff frequency calculated by the frequency analyzing step.

Image estimating method including calculating a transverse cutoff frequency, non-transitory computer readable medium, and image estimating apparatus

The imaging apparatus includes an optical system dividing light into object and reference beams and causing the object beam and the reference beam to interfere with each other to form interference fringes on an image sensor. A processor performs multiple imaging processes for the interference fringes with different incident angles of the object beam to an object, a first process to acquire a transmitted wavefront for each incident angle and a second process to calculate a three-dimensional refractive index distribution from the transmitted wavefronts. The apparatus includes a modulator changing a phase distribution of light in any one of an optical path from a light source to a dividing element, a reference beam path and an optical path from a combining element to the image sensor and causes the modulator to change the phase distribution in at least one of the multiple imaging processes.

Digital holography three-dimensional imaging apparatus and digital holography three-dimensional imaging method

A confocal microscope includes an illumination optical system configured to uniformly illuminate at least part of a first confocal stop with a light beam from a light source, a first collection optical system configured to collect a light beam passing through the first confocal stop onto a specimen, a second collection optical system configured to collect a light beam from the specimen onto a second confocal stop, a detection unit configured to detect a light beam passing through the second confocal stop, and a light intensity control member provided to at least one of the first collection optical system and the second collection optical system and having a transmittance of a first region including an optical axis that is lower than a transmittance of a second region around the first region.

Confocal microscope

An image processing method is configured to denoise three-dimensional image data. The image processing method includes an image transform step of performing a frequency transform for the three-dimensional image data in the optical axis direction and of calculating three-dimensional transformed image data, an image modulation step of reducing an absolute value of the three-dimensional transformed image data in a specific frequency region and of calculating three-dimensional modulated image data, and an inverse image transform step of performing an inverse frequency transform corresponding to the frequency transform for the three-dimensional modulated image data in the optical axis direction and of calculating three-dimensional inversely transformed image data. The specific frequency region is a part of a predetermined.

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Tucson, AZ, United States of America

Akira Eguchi