In one embodiment, a digital holography system includes logic configured to receive raw interferograms obtained by illuminating an object field with incoherent light, the raw interferograms comprising multiple phase-shifted raw interferograms for each of multiple different colors, logic configured to combine like-colored raw interferograms to generate a separate complex hologram for each different color, logic configured to combine the separate complex holograms to generate a full-color complex hologram, and logic configured to reconstruct a full-color holographic image of the object field.

A magnetic field controlled guidestar for focusing light deep inside scattering media using optical phase conjugation. Compared with the optical and ultrasonic field, the magnetic field has an exceptional penetration depth. The magnetic particle guidestar has a high light-tagging efficiency, good biocompatibility, and a small diameter which enables a sharp and bright focusing deep inside biological tissue. This new method can benefit a wide range of biomedical applications including deep-tissue imaging, neural modulation, and targeted photothermal and photodynamic therapies.

A method of structured illumination digital holography includes: (a) providing a structured illumination generating unit and binarization random number encoding unit to generate a coded structured illumination pattern; (b) sampling at least two patterns with phase shift which synthesized as a single structured illumination pattern to be encoded; (c) forming a single digital hologram, and wavefront reconstructing the single digital hologram; (d) performing a compressive sensing approach to recover the object wave with at least two phase shift patterns; and (e) reconstructing the separation of overlap spectrum, to obtain an image covering bandpass spectrum with different high frequency and low frequency.

An image sensor is provided. The image sensor includes: a plurality of photoelectric elements for receiving an incident light. The photoelectric elements are arranged into a plurality of unit cells, and each of the unit cells includes a first photoelectric element and a second photoelectric element. The first photoelectric element in each of the unit cells captures a first pixel in a first phase, and the second photoelectric element in each of the unit cells captures a second pixel in a second phase, wherein the first phase is different from the second phase.

A system for recording a digital hologram of an object comprises: a coherent source intended to illuminate the object and thus produce a wave diffracted by the object; and a digital sensor intended to record the digital hologram of the object. It furthermore comprises a spatial phase modulating assembly able to produce in the plane of the sensor a plurality of duplicates of the wave diffracted by the object, the duplicates being offset from each other but overlapping partially, these duplicates forming on the sensor a digital hologram of the object, this hologram being what is referred to as a self-reference hologram.

A hologram image acquiring apparatus may include: a linear polarizer that filters incident light reflected by an object into a polarized component of a specific angle; a spherical lens that partially converts light that is incident through the linear polarizer to a spherical waveform; and a phase shifter that converts a part of the light incident through the spherical lens to a plane waveform having a different phase per pixel unit.

A digital holography device of an embodiment of the present invention includes: an image sensing device which records, in an image sensor and on the basis of an object, a plurality of holograms that correspond to respective different photographic exposure values; and a computer which (i) generates a high dynamic range hologram, which includes pieces of information ranging from low luminance information to high luminance information, by synthesizing the plurality of holograms recorded and (ii) generates a reconstructed image of the object by performing arithmetic processing of phase-shift interferometry, diffraction calculation, and/or the like on the basis of the high dynamic range hologram.

In one embodiment, a color holographic image is created by generating a separate complex hologram for each of multiple different colors of an object field illuminated with incoherent light, combining the separate complex holograms to obtain a color complex hologram, and generating a reconstructed color holographic image of the object field.

A system and method to produce a hologram of a single plane of a three dimensional object includes an electromagnetic radiation assembly to elicit electromagnetic radiation from a single plane of said object, and an assembly to direct the elicited electromagnetic radiation toward a hologram-forming assembly. The hologram-forming assembly creates a hologram that is recorded by an image capture assembly and then further processed to create maximum resolution images free of an inherent holographic artifact.

Digital holography is one of the most widely used label-free microscopy techniques in biomedical imaging. Recovery of the missing phase information of a hologram is an important step in holographic image reconstruction. A convolutional recurrent neural network (RNN)-based phase recovery approach is employed that uses multiple holograms, captured at different sample-to-sensor distances to rapidly reconstruct the phase and amplitude information of a sample, while also performing autofocusing through the same trained neural network. The success of this deep learning-enabled holography method is demonstrated by imaging microscopic features of human tissue samples and Papanicolaou (Pap) smears. These results constitute the first demonstration of the use of recurrent neural networks for holographic imaging and phase recovery, and compared with existing methods, the presented approach improves the reconstructed image quality, while also increasing the depth-of-field and inference speed.