A system for monitoring a building structure is described. The system comprises a laser source which emits an infrared radiation and an interferometric arrangement which divides the radiation into an object beam and a reference beam. The object beam irradiates the building structure and is scattered by it, while the reference beam interferes with the scattered object beam so as to create a hologram of the building. The system also comprises a sensor which detects a sequence of holograms and a processing unit which reconstructs the evolution in time of deformations or displacements of the building by numerically processing the sequence of holograms. The system—being based on digital holography—offers various advantages compared to known monitoring techniques, for example techniques which make use of seismometers (possibility of remote monitoring, substantial space-time continuity of the monitoring, capacity for detecting a wider range of deformations and displacements).

A quantum simulator includes a pseudo speckle pattern generator, a main vacuum chamber, an atomic gas supply unit, a light beam generator, a photodetector, and an atom number detector. The pseudo speckle pattern generator generates a pseudo speckle pattern in the inside of the main vacuum chamber by light allowed to enter the inside of the main vacuum chamber through the second window. The pseudo speckle pattern generator includes a controller, a light source, a beam expander, a spatial light modulator, and a lens. The controller sets a modulation distribution of the spatial light modulator based on a two-dimensional pseudo random number pattern.

Holographic Video Microscopy analysis of non-spherical particles is disclosed herein. Properties of the particles are determined by application of light scattering theory to holography data. Effective sphere theory is applied to provide information regarding the reflective index of a sphere that includes a target particle. Known particles may be co-dispersed with unknown particles in a medium and the holographic video microscopy is used to determine properties, such as porosity, of the unknown particles.

Holographic Video Microscopy analysis of non-spherical particles is disclosed herein. Properties of the particles are determined by application of light scattering theory to holography data. Effective sphere theory is applied to provide information regarding the reflective index of a sphere that includes a target particle. Known particles may be co-dispersed with unknown particles in a medium and the holographic video microscopy is used to determine properties, such as porosity, of the unknown particles.

An imaging flow cytometer device includes a housing holding a multi-color illumination source configured for pulsed or continuous wave operation. A microfluidic channel is disposed in the housing and is fluidically coupled to a source of fluid containing objects that flow through the microfluidic channel. A color image sensor is disposed adjacent to the microfluidic channel and receives light from the illumination source that passes through the microfluidic channel. The image sensor captures image frames containing raw hologram images of the moving objects passing through the microfluidic channel. The image frames are subject to image processing to reconstruct phase and/or intensity images of the moving objects for each color. The reconstructed phase and/or intensity images are then input to a trained deep neural network that outputs a phase recovered image of the moving objects. The trained deep neural network may also be trained to classify object types.

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 method of characterizing an object comprises providing an object to be characterized, the object having at least one nanoscale feature; illuminating the object with coherent plane wave optical radiation having a wavelength larger than the nanoscale feature; capturing a diffraction intensity pattern of the radiation which is scattered by the object; supplying the diffraction intensity pattern to a neural network trained with a training set of diffraction intensity patterns corresponding to other objects with a same nanoscale feature as the object to be characterized, the neural network configured to recover information about the object from the diffraction intensity pattern; and making a characterization of the object based on the recovered information.

Provided are an imaging system and an imaging device capable of generating a super-resolution interference fringe image of an object to be observed flowing through a flow channel. A light source that irradiates light in a first direction and irradiates light toward a flow channel through which an object to be observed flows in a second direction orthogonal to the first direction, an imaging sensor that has an imaging surface orthogonal to the first direction and on which a plurality of pixels are two-dimensionally arranged in a manner non-parallel to the second direction and that images light passing through the flow channel to output an interference fringe image, and an information processing device that generates a super-resolution interference fringe image based on a plurality of interference fringe images output from the imaging sensor are included.

The present invention discloses a method for detecting a microstructure of a functionally graded material based on digital acousto-optic holography, including the following steps: excite a sample with an ultrasonic wave; record a light wave; form a single tomographic acousto-optic hologram; perform numerical reconstruction of phase information, and perform global detection. The present invention uses an acoustic-optic modulation device to modulate a laser light source of a laser of a laser device to form two light waves of different frequencies. The two light waves each constitute a Mach-Zehnder interference system to record reflection wave information and transmission wave information of an ultrasound, and are finally combined and recorded in the same hologram to form the single tomographic acousto-optic hologram. A reflection-transmission dual-mode interference optical path is beneficial to avoiding the mutual interference of the reflection wave information and the transmission wave information, and being able to improve the integrity of information record and information redundancy by using time delay integration with point sensing and surface output to scan CCD through an image collector and cooperate with a synchronous control system to perform surface scanning and record for information of an ultrasound carrier.

A method comprises obtaining input data comprising a hologram of a 3-dimensional (3D) particle field, a depth map of the 3D particle field, and a maximum phase projection of the 3D particle field. The method also comprises applying a U-net convolutional neural network (CNN) to the input data to generate output data. Encoder blocks have residual connections between a first layer and a second layer that skips over a convolution layer of the encoder block. Decoder blocks have residual connections between a first layer and a second layer that skips over a convolution layer of the decoder block. The output data includes a channel in which pixel intensity corresponds to relative depth of particles in the 3D particle field and an output image indicating locations of centroids of the particles in the 3D particle field.