According to an embodiment, a holographic image sensor comprises a lens focusing object light incident from outside of the holographic image sensor to the holographic image sensor, a filter transmitting a predetermined wavelength band of light of the focused object light, a light receiving unit receiving interference light to sense a holographic image, and a reference light source directly emitting reference light having the predetermined wavelength band to the light receiving unit.

Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via a wave propagation model. The wave propagation model is used to generate holographic data, which is then adjusted according to one or more constraints associated with the holographic display that will be used to generate a holographic image based on the adjusted holographic data.

A method of reconstructing a three-dimensional (3-D) image on the basis of a diffraction grating includes extracting parallax images from a raw image of an object photographed by using a diffraction grating and reconstructing a 3-D image from the extracted parallax image array by using a virtual pinhole model.

A display panel (1) comprising a body of optical material, the body having at least one optical image recorded therein in an encoded manner, wherein the image is selectively reconstructable and viewable (5, 6, 7) by illuminating the panel (1) using at least one light source (3a, 3b, 3c) under selected illumination conditions, wherein the image is reconstructable and viewable (5, 6, 7) such that at least one first optical property or parameter of the reconstructed image (e.g. its geometry, position in space, colour, its dynamic appearance) is selectable in value from amongst variable values of the at least one first optical property or parameter, or whose value is actively modifiable over time, as a function of or in dependence on the value of at least one second optical property or parameter of the illumination conditions of the at least one light source (e.g. its/their position(s) or spacing(s) relative to the panel (1), its/their colour, brightness/optical intensity, polarisation, direction of light ray propagation, application of a scanning technique to illuminate the panel (1)) which is selectable from amongst variable values thereof or which is actively modifiable in value over time.

Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via an iterative propagation feedback model. The iterative propagation feedback model is used to generate a feedback strength value, which is then used to generate a phase diffraction pattern for presentation at a holographic plane.

A system for analyzing a transparent particle including: an analysis pathway, including a first light source emitting an analysis light beam, and a first optical system focusing the analysis light beam in a focusing plane; and a position control pathway including a second light source, an image sensor, and a second optical system at least partially merged with the first optical system. The image sensor is offset relative to the image of the focusing plane by the second optical system. The system makes it possible to control correct positioning of the particle, even though it is transparent, and without disturbing the analysis pathway.

Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via an iterative propagation feedback model. The iterative propagation feedback model is used to generate a feedback strength value, which is then used to generate a phase diffraction pattern for presentation at a holographic plane.

A method of analyzing a sample receiving a particle of interest, including: defining a reference point located on a first interface of the sample, or at a known distance from the sample, along the optical axis of the optical system; acquiring a reference image transmission of the sample, the object plane of the optical system being located at a known distance from the reference point along an axis parallel to the optical axis of the optical system, and the particle of interest being located outside of the object plane; using the reference image, digitally constructing a series of reconstructed images, each associated with a predetermined offset of the object plane along the optical axis of the optical system; and using the series of reconstructed images, determining the distance along an axis parallel to the optical axis of the optical system, between the particle of interest and the reference point.

The present invention relates to a 3D holographic imaging apparatus and method for projecting multiple point light sources to one plane such that qubits can be detected at rapid rate by allowing a 3D qubit model arranged in three dimensions to be simultaneously photographed in two dimensions. For this, the present invention provides a 3D holographic imaging apparatus comprising: a fluorescent unit configured to cause each qubit composing a 3D qubit model to emit qubit fluorescent beams; a lens unit configured to change the qubit fluorescent beams to a desired route; a light modulator configured to modulate each phase of the qubit fluorescent beams for each predetermined position, and control a position of a focal point; and an imaging unit configured to image the qubit fluorescent beams modulated by the light modulator in a two-dimensional (2D) image. Therefore, according to the present invention, it is possible to greatly reduce the preparation and detection time of the 3D qubit model and increase the number of detectable qubits.

Techniques related to generating holographic images are discussed. Such techniques include application of a machine learning model to the target image to generate data that is used to enable the determination of a phase pattern via a wave propagation model. The wave propagation model is used to generate holographic data, which is then adjusted according to one or more constraints associated with the holographic display that will be used to generate a holographic image based on the adjusted holographic data.