Disclosed are a method and apparatus of automatic optical inspection using scanning holography. The apparatus for automatic optical inspection using scanning holography includes: a hologram capturer that takes a hologram of an object existing on an objective plate using a scanning hologram camera; a depth position/rotation angle extractor that extracts a depth position and a rotation angle about an objective surface of the objective plate on the basis of the hologram or the detected monitoring-light; a rotated coordinate system generator that generates a rotated coordinate system corresponding to the objective surface using the depth position and the rotation angle; and a hologram restorer that obtains an image of the object by restoring the hologram in a plane formed in a depth direction of the rotated coordinate system.

The present disclosure describes binocular machine vision systems and methods for determining locations of target elements. This disclosure describes the transformation of multiple 2D sensor data into 3-dimensional position and employs the full range of through-focus imaging using a single image for each Receptor.

An image processing apparatus includes an acquisition unit that acquires a hologram obtained by imaging a plurality of granules contained within an imaging visual field, a generation unit that generates, from the hologram, phase difference images at positions different from each other in an optical axis direction in a case in which the hologram is captured, a specifying unit that specifies a plurality of image ranges in a direction of a plane intersecting the optical axis direction, which correspond to the plurality of granules, in an averaged image obtained by averaging at least some of the phase difference images, and an extraction unit that extracts the phase difference image at a center position of a corresponding granule in the optical axis direction for each of the plurality of image ranges.

A method for lens-free imaging of a sample or objects within the sample uses multi-height iterative phase retrieval and rotational field transformations to perform wide FOV imaging of pathology samples with clinically comparable image quality to a benchtop lens-based microscope. The solution of the transport-of-intensity (TIE) equation is used as an initial guess in the phase recovery process to speed the image recovery process. The holographically reconstructed image can be digitally focused at any depth within the object FOV (after image capture) without the need for any focus adjustment, and is also digitally corrected for artifacts arising from uncontrolled tilting and height variations between the sample and sensor planes. In an alternative embodiment, a synthetic aperture approach is used with multi-angle iterative phase retrieval to perform wide FOV imaging of pathology samples and increase the effective numerical aperture of the image.

Provided are an improved holographic reconstruction apparatus and method. A holographic reconstruction method includes: obtaining an object hologram of a measurement target object; extracting reference light information from the obtained object hologram; calculating a wavenumber vector constant of the extracted reference light information, and generating digital reference light by calculating a compensation term of the reference light information by using the calculated wavenumber vector constant; extracting curvature aberration information from the object hologram, and then generating digital curvature in which a curvature aberration is compensated for; calculating a compensated object hologram by multiplying the compensation term of the reference light information by the obtained object hologram; extracting phase information of the compensated object hologram; and reconstructing 3-dimensional (3D) shape information and quantitative thickness information of the measurement target object by calculating the quantitative thickness information of the measurement target object by using the extracted phase information of the compensated object hologram.

A method of calibration of a device for analyzing at least one element present in a sample, said device including: a detection assembly configured to acquire an image formed by the interference between a light source and said sample; and digital processing means configured to detect a digital position of at least one element in said sample based on said acquired image; said calibration method including the implementation of a plurality of predetermined displacements of said sample with respect to said detection assembly and, for all of said displacements, the detection of a digital position of a same element to determine the digital position and the real position matching model according to the predetermined displacements and to the digital positions of said element after each displacement.

The invention is a method for estimating a representative volume of particles of interest (10 i) immersed in a sample, the sample extending in at least one plane, referred to as the sample plane (P 10), the sample comprising a sphering agent, capable of modifying the shape of the particles, the method comprising the following steps: a) illuminating the sample by means of a light source (11), the light source emitting an incident light wave (12) propagating towards the sample (10) along a propagation axis (Z); b) acquiring, by means of an image sensor (16), an image (I 0) of the sample (10), formed in a detection plane (P 0), the sample being arranged between the light source (11) and the image sensor (16), each image being representative of a light wave (14) referred to as an exposure light wave, to which the image sensor (16) is exposed under the effect of illumination; c) using the image of the sample (I 0), acquired during step b), and a holographic propagation operator, to calculate a complex expression (A (x, y, z)) of the exposure light wave (14) in different positions relative to the detection plane; the method comprising a step of estimating the representative volume (AA) of the particles of interest (10 i) depending on the complex expressions calculated during step c).

Disclosed are a method and apparatus of automatic optical inspection using scanning holography. The apparatus for automatic optical inspection using scanning holography includes: a hologram capturer that takes a hologram of an object existing on an objective plate using a scanning hologram camera; a depth position/rotation angle extractor that extracts a depth position and a rotation angle about an objective surface of the objective plate on the basis of the hologram or the detected monitoring-light; a rotated coordinate system generator that generates a rotated coordinate system corresponding to the objective surface using the depth position and the rotation angle; and a hologram restorer that obtains an image of the object by restoring the hologram in a plane formed in a depth direction of the rotated coordinate system.

An image processing apparatus includes an acquisition unit that acquires a hologram obtained by imaging a plurality of granules contained within an imaging visual field, a generation unit that generates, from the hologram, phase difference images at positions different from each other in an optical axis direction in a case in which the hologram is captured, a specifying unit that specifies a plurality of image ranges in a direction of a plane intersecting the optical axis direction, which correspond to the plurality of granules, in an averaged image obtained by averaging at least some of the phase difference images, and an extraction unit that extracts the phase difference image at a center position of a corresponding granule in the optical axis direction for each of the plurality of image ranges.

An advance in ultra-high-resolution optical imaging has been achieved by the introduction of iterative high-resolution image-building algorithms to incoherent holography. A recorded FINCH hologram is used as the basis of a method in which a high resolution image is built using detailed knowledge of the point spread functions of the FINCH hologram or reconstructed image, and then iteratively improved by successive algorithm generations of comparison to the recorded FINCH hologram and alteration of the high resolution image.