Disclosed is an apparatus of analyzing a depth of a holographic image according to the present disclosure, which includes an acquisition unit that acquires a hologram, a restoration unit that restores a three-dimensional holographic image by irradiating the hologram with a light source, an image sensing unit that senses a depth information image of the restored holographic image, and an analysis display unit that analyzes a depth quality of the holographic image, based on the sensed depth information image, and the image sensing unit uses a lensless type of photosensor.

A device for detecting at least one object present in a sample, the device including a light source to emit at least one incident wave at a wavelength λ, a detection volume intended to receive the object, and to receive at least one incident wave, an image sensor positioned to receive at least one scattered light wave obtained by diffraction of the incident wave on the object and a reference wave from the source and not diffracted on the object and to generate a holographic image, and a computer data processing device to digitally reconstruct the object based at least on the holographic image and the wavelength λ. The device also comprises a support comprising patterns organized to form at least one diffraction grating, the grating being periodic and having a pitch P, such that λ/2≤P≤2λ.

An optical device is formed by hot stamping a demetallized hologram to an optically variable foil or to a coating of optically variable ink. In another embodiment a hologram is hot stamped to a banknote or document printed with a color-shifting ink.

An optical device is formed by hot stamping a demetallized hologram to an optically variable foil or to a coating of optically variable ink. In another embodiment a hologram is hot stamped to a banknote or document printed with a color-shifting ink.

The invention relates to an in-vitro method for determining a cell type of a white blood cell in a biological sample without labeling, wherein a microscopy apparatus images the cell and physical parameters of the cell are ascertained from the image of the cell by means of an automated image analysis, wherein the cell type of the white blood cell is determined on the basis of the physical parameters and on the basis of principal component analysis parameters (PCA parameters), wherein the principal component analysis parameters comprise linear combinations of at least some of the physical parameters.

The present disclosure presents systems, apparatuses, and methods of holographic imaging. In this regard, a method comprises transmitting light and illuminating a semi-transparent sample object; and forming, at a hologram plane, an interference pattern of a real image of the sample object from a scattered object beam and an unscattered reference beam from the transmitted light. To do so, the scattered object beam and the unscattered reference beam are in-line with one another, and a distance between the hologram plane to the sample object is set at a distance that substantially weakens a virtual image of the sample object formed from the scattered object beam and the unscattered reference beam. Accordingly, the method further comprises recording the interference pattern of a hologram formed from the scattered object beam and the unscattered reference beam at a detector; and reconstructing a 3D optical field of the hologram without phase retrieval.

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).

A method for observing a sample, the sample lying in a sample plane defining radial positions, parameters of the sample being defined at each radial position, the method comprising: a) illuminating the sample using a light source, emitting an incident light wave that propagates toward the sample; b) acquiring, using an image sensor, an image of the sample, said image being formed in a detection plane, the sample being placed between the light source and the image sensor; c) processing the image acquired by the image sensor, so as to obtain an image of the sample, the image of the sample corresponding to a distribution of at least one parameter of the sample describing the sample in the sample plane; wherein the processing of the acquired image comprises implementing an iterative method, followed by applying a supervised machine learning algorithm, so as to obtain an initialization image intended to initialize the iterative method.

Method for obtaining an image of a sample (10), comprising: a) illuminating the sample using a light source (11); b) acquiring, using an image sensor (16), a first image (I.sub.1,P0) of the sample (10), said image being formed in the detection plane (P.sub.0), the first image being representative of an exposure light wave (14) propagating, from the sample, to the image sensor, along a first optical path (L.sub.1);
the method comprising, following b) c) modifying an optical refractive index, between the image sensor and the sample; d) following c), acquiring a second image (I.sub.2,P0) of the sample, said image being representative of the exposure light wave (14) along a second optical path (L.sub.2); e) implementing an iterative algorithm that combines the first and second images so as to obtain an image of the sample.

The accuracy of estimation of a focal distance in digital holography is enhanced. In an image reproduction method, a two-dimensional power spectrum is generated from an interference fringe image generated from object light and reference light, the two-dimensional power spectrum having an intensity specified by a first frequency in a first direction and a second frequency in a second direction. A one-dimensional power spectrum is generated by, for each frequency component specified by the first frequency and the second frequency in the two-dimensional power spectrum, associating the frequency component with a feature quantity, the feature quantity being calculated by aggregating a plurality of intensities corresponding to the frequency component. A focal distance between an object and a detector is estimated using a trained distance estimation model, the trained distance estimation model receiving, as input, a plurality of feature quantities included in the one-dimensional power spectrum.