Apparatus for detecting a 3D structure of an object, comprising at least three laser emitters and a beam splitter that splits the laser radiation of the laser emitters into a reference radiation and an illumination radiation. The illumination radiation strikes the object to be measured, is reflected by the object as object radiation and interferes with the reference radiation. A detector receives the interference patterns formed from the interference of the reference and object radiation and an analysis unit analyzes the interference patterns. At least two of the laser emitters emit laser radiation in the invisible range and the analysis unit detects the object in three dimensions based on the interference patterns of the invisible laser radiation. At least one of the laser emitters emits colored laser radiation and the analysis unit deduces the object's color based on the intensity of the colored object radiation reflected by the object.

A holographic energy system is operable to generate an output wavefront according to a complex amplitude function. The holographic energy system includes a continuous three-dimensional energy medium, an array of energy devices configured to output energy to interact with the continuous three-dimensional energy medium to define a hologram therein, and an electromagnetic (EM) energy source positioned to output coherent EM energy that is incident on the hologram in the continuous three-dimensional energy medium to generate an output wavefront.

Embodiments of the present disclosure provide an imaging device for holographic imaging of a sample, the imaging device comprising a light source generating a light beam, a beam splitter splitting the light beam into an object beam along an object beam path and a reference beam along a reference beam path, and a detector. The imaging device defines a sample position. The object beam is propagated through the sample position, and the detector is arranged to prevent non-scattered object light, passing through the sample position without being scattered by the sample, from being incident onto the detector. The reference beam is propagated through the sample position, and the detector is arranged so that non-scattered reference light, passing through the sample position without being scattered by the sample, is incident onto the detector. The detector detects an interference pattern formed by scattered object light and the non-scattered reference light.

A generation method of a digital hologram includes steps of emitting coherent light from a coherent light source, imaging a hologram that is an interference pattern of an object beam and a reference beam due to the emission light from the light source, and setting a plurality of wavelengths of the illumination light that generates the hologram detected by the detector, and wherein the plurality of wavelength are specified by the wavelength setting step based on a magnification percentage X of a conjugate image set up by a user not to disturb visibility of an image when a real image and the conjugate image reconstructed by a predetermined calculation means relative to structures of observation targets are superimposed to a corresponding real image so that a shortest wavelength λ.sub.min and a longest wavelength λ.sub.max satisfy the expression λ.sub.max/λ.sub.min≧(1/X+1).

Methods, systems and computer program products for performing visual quality assessment using holographic interferometry are provided. Aspects include obtaining a reference holographic pattern based on a reference object and obtaining a test holographic pattern based on a test object. Aspects also include creating an interference pattern by superimposing the test holographic pattern onto the reference holographic pattern. Aspects further include determining a difference between the reference object and the test object based upon the interference pattern.

A label-free bio-aerosol sensing platform and method uses a field-portable and cost-effective device based on holographic microscopy and deep-learning, which screens bio-aerosols at a high throughput level. Two different deep neural networks are utilized to rapidly reconstruct the amplitude and phase images of the captured bio-aerosols, and to output particle information for each bio-aerosol that is imaged. This includes, a classification of the type or species of the particle, particle size, particle shape, particle thickness, or spatial feature(s) of the particle. The platform was validated using the label-free sensing of common bio-aerosol types, e.g., Bermuda grass pollen, oak tree pollen, ragweed pollen, Aspergillus spore, and Alternaria spore and achieved >94% classification accuracy. The label-free bio-aerosol platform, with its mobility and cost-effectiveness, will find several applications in indoor and outdoor air quality monitoring.

This lensless imaging system comprises a receiving support configured to receive a sample, a light source configured to emit a light beam illuminating the sample in an illumination direction, the light source including a diode and a diaphragm, the diaphragm being positioned between the diode and the receiving support in the lighting direction, and a matrix photodetector configured to acquire at least one image of the sample, each image being formed by radiation emitted by the illuminated sample and including at least one elementary diffraction pattern, the receiving support being positioned between the light source and the matrix photodetector in the illumination direction.

The system further comprises a light diffuser positioned between the diode and the diaphragm.

An apparatus and method to produce a hologram of an object includes an electromagnetic radiation assembly configured to receive a received electromagnetic radiation, such as light, from the object. The electromagnetic radiation assembly is further configured to diffract the received electromagnetic radiation and transmit a diffracted electromagnetic radiation. An image capture assembly is configured to capture an image of the diffracted electromagnetic radiation and produce the hologram of the object from the captured image.

Systems and methods for uniquely identifying fluid-phase products by endowing them with fingerprints composed of dispersed colloidal particles, and by reading out those fingerprints on demand using Total Holographic Characterization. A library of chemically inert colloidal particles is developed that can be dispersed into soft materials, the stoichiometry of the mixture encoding user-specified information, including information about the host material. Encoded information then can be recovered by high-speed analysis of holographic microscopy images of the dispersed particles. Specifically, holograms of individual colloidal spheres are analyzed with predictions of the theory of light scattering to measure each sphere's radius and refractive index, thereby building up the distribution of particle properties one particle at a time. A complete analysis of a colloidal fingerprint requires several thousand single-particle holograms and can be completed in ten minutes.

Microscope (2) comprising a coherent light source (4) producing a coherent light beam (7), a light beam guide system (6) comprising a beam splitter (14) configured to split the coherent light beam (7) into a reference beam (7a) and a sample illumination beam (7b), a sample holder (18) configured to hold a sample (1) to be observed, a sample illumination device (28) configured to direct the sample illumination beam (7b) through the sample and into a microscope objective (37), a beam reuniter (16) configured to reunite the reference beam and sample illumination beam after passage of the sample illumination beam through the sample to be observed, and a light sensing system (8) configured to capture at least phase and intensity values of the coherent light beam downstream of the beam reuniter.