The present invention relates to a system and method for digital holographic microscopy. According to an aspect of the invention there is provided an off-axis digital holographic microscope comprising: a light emitter configured to provide a divergent light beam; a sensor position to receive light from the light emitter in a first path and a second path, and thereby to detect a holographic image; a reflector positioned partially in the divergent light beam so that light that encounters the reflector extends towards the sensor in the first path, and light that does not encounter the reflector extends towards the sensor in the second path; and a support structure configured to support a sample in the first path or the second path.

A spatial modulator is provided on a plane conjugate to a sample plane on which a sample is to be placed. The spatial modulator spatially modulates illumination light irradiated to the sample 2 or object light that has passed through or that has been reflected by the sample. A dark-field optical system removes the non-scattered light component of the first object light affected by the spatial light modulator so as to generate second object light. An image sensor records a hologram based on the second object light. A calculation processing apparatus combines complex amplitude information based on the modulation pattern supplied to the spatial light modulator and complex amplitude information based on the hologram with respect to the second object light so as to acquire a phase distribution originating from the sample.

A device and method for measuring a surface of an object, including at least one light source, at least one optical sensor, and an interferometry device having a measurement arm and a reference arm, the former directing light from each light source towards the surface of the object and directing light from the surface towards each optical sensor; the measurement device, in an interferometry configuration, illuminating the reference arm and the measurement arm with each light source and directing the light from the measurement arm and the reference arm towards each optical sensor to form an interference signal; the measurement device, in an imaging configuration illuminating at least the measurement arm and directing the light from the measurement arm towards the optical sensor to form an image of the surface; the measurement device including a digital processor producing, from the interference signal and the image, information on the surface.

The holographic lens system includes a geometric phase lens located on plane of an aperture, a front lens and a rear lens respectively located at the front and behind of the aperture, a polarizer located between the geometric phase lens and the front lens, and an image sensor that is located behind the rear lens and acquires an interference fringe generated by the geometric phase lens.

Disclosed herein a device acquiring holography and system including the same. The device includes: a beam splitter module splitting a light emitted from an object into a first beam and a second beam which have polarizations in different states; and an optical control module equipped with a first reflective optical element, which is disposed at one side of the beam splitter module and receives and emits the first beam to the beam splitter module, and a second reflective optical element which is placed at the other side of the beam splitter module, receives the second beam and emits the second beam to the beam splitter module so as to have differences of optical path and wavefront from the first beam. The beam splitter module, the first reflective optical element and the second reflective optical element are monolithically installed by being fixed to each other.

The disclosure features systems and methods for measuring and diagnosing target constituents bound to labeling particles in a sample. The systems include a radiation source, a sample holder, a detector configured to obtain one or more diffraction patterns of the sample each including information corresponding to optical properties of sample constituents, and an electronic processor configured to, for each of the one or more diffraction patterns: (a) analyze the diffraction pattern to obtain amplitude information and phase information corresponding to the sample constituents; (b) identify one or more particle-bound target sample constituents based on at least one of the amplitude information and the phase information; and (c) determine an amount of at least one of the particle-bound target sample constituents in the sample based on at least one of the amplitude information and the phase information.

A method and system for performing incoherent color holographic microscopy imaging using light of various wavelengths, including modulating radiation at each wavelength to form two beams and detecting their intensity at a detector. The two beams include phase information that is retrieved from the phase shifted intensity recorded at the detector and holographic information is determined from the detected modulation of the two beams for each color. A processor is configured to receive the holographic information via a signal generated by the detector and the processor further generates a three-dimensional image of a target.

A method of performing phase retrieval and holographic image reconstruction of an imaged sample includes obtaining a single hologram intensity image of the sample using an imaging device. The single hologram intensity image is back-propagated to generate a real input image and an imaginary input image of the sample with image processing software, wherein the real input image and the imaginary input image contain twin-image and/or interference-related artifacts. A trained deep neural network is provided that is executed by the image processing software using one or more processors and configured to receive the real input image and the imaginary input image of the sample and generate an output real image and an output imaginary image in which the twin-image and/or interference-related artifacts are substantially suppressed or eliminated. In some embodiments, the trained deep neural network simultaneously achieves phase-recovery and auto-focusing significantly extending the DOF of holographic image reconstruction.

An optical measurement system comprises a polarization beam splitter for dividing an incident beam into a reference beam and a measurement beam, a first beam splitter for reflecting the measurement beam to form a first reflected measurement beam, a spatial light modulator for modulating the first reflected measurement beam to form a modulated measurement beam, a condenser lens for focusing the modulated measurement beam to an object to form a penetrating measurement beam, an objective lens for converting the penetrating measurement beam into a parallel measurement beam, a mirror for reflecting the parallel measurement beam to form an object beam, a second beam splitter for reflecting the reference beam to a path coincident with that of the object beam, and a camera for receiving an interference signal generated by the reference beam and the object beam to generate an image of the object.

A system for the detection and classification of live microorganisms in a sample includes a light source and an incubator holding one or more sample-containing growth plates. A translation stage moves the image sensor and/or the growth plate(s) along one or more dimensions to capture time-lapse holographic images of microorganisms. Image processing software executed by a computing device captures time-lapse holographic images of the microorganisms or clusters of microorganisms on the one or more growth plates. The image processing software is configured to detect candidate microorganism colonies in reconstructed, time-lapse holographic images based on differential image analysis. The image processing software includes one or more trained deep neural networks that process the time-lapsed image(s) of candidate microorganism colonies to detect true microorganism colonies and/or output a species associated with each true microorganism colony.