An imaging device includes an image pixel array and a display pixel array. The image pixel array is configured to capture an infrared image of an interference between an infrared imaging signal and an infrared reference wavefront. The display pixel array is configured to generate an infrared holographic imaging signal according to a holographic pattern driven onto the display pixels. The holographic pattern is derived from the infrared image captured by the image pixel array.

An infrared image is captured by an image sensor and a frequency domain infrared image is generated by performing a Fourier transform operation on the infrared image. A filtered frequency domain infrared image is generated by applying a mask to the frequency domain infrared image. A spatial domain infrared image is generated by performing an inverse Fourier transform on the filtered frequency domain infrared image. Phase data is extracted from the spatial domain infrared image and a holographic pattern generated from the phase data is driven onto a display.

A method of correcting a holographic image, a processing device, a dark field digital holographic microscope, a metrology apparatus and an inspection apparatus. The method includes obtaining a holographic image; determining at least one attenuation function due to motion blur from the holographic image; and correcting the holographic image, or a portion thereof, using the at least one attenuation function.

The invention relates to a device, such as a digital holographic microscope (1), for detecting and processing a first full image of a measurement object, measured with a first offset, wherein an arrangement is provided for generating at least one further full image with at least one offset that differs from said first offset.

An optical fiber splitter device comprising at least two optical fibers of different lengths is disclosed for partial or complete compensation of the optical path difference between waves interfering to generate a hologram or an interferogram. Various implementations of this fiber splitter device are described in apparatuses for holographic and interferometric imaging of microscopic and larger samples.

A digital holography microscope, a method, and a system are provided. The digital holography microscope comprising two microscope objectives configured in a bi-telecentric configuration; a sample holder configured to receive a sample; a couple charged device configured to capture one or more images; a display; and a processor configured to retrieve a Convolutional Neural Network (CNN) model associated with a type of the sample, mitigate aberrations in the one or more images using at least the CNN model having as input an unwrapped phase associated with each of the one or more images, and output the mitigated one or more images via the display.

According to one embodiment, a beam splitter splits light into first light and second light. The second light is used to irradiate a sample containing particles. A first imaging device images a first interference pattern formed by multiplexing third light, which has been generated by irradiating the particles with the second light, and the first light. A second imaging device images a second interference pattern formed by the third light. An arithmetic device compares a composite image with a calculated image. The composite image is created by using a first interference image picked up by the first imaging device and a second interference image picked up by the second imaging device. The calculated image is obtained by combining single particle interference images, each of which is expected to be obtained by the first imaging device in a case where a particle is present alone in the sample.

The present invention provides an ellipsometry device and an ellipsometry method whereby measurement efficiency can be enhanced. In this method, an object is illuminated by spherical-wave-like illumination light Q linearly polarized at 45 (S1), and an object light O, being a reflected light, is acquired in a hologram I.sub.OR using a spherical-wave-like reference light R having a condensing point near the condensing point of the illumination light Q, and a hologram I.sub.LR of the reference light R is furthermore acquired using a spherical-wave reference light L having the same condensing point as that of the illumination light Q (S2). The holograms are separated into p- and s-polarized light holograms I.sup.K.sub.OR, I.sup.K.sub.LR, =p, s and processed to extract object light waves, and object light spatial frequency spectra G.sup.K(u, v), =p, s are generated (S3) (S4). Ellipsometric angles (), () are obtained for each incident angle from the amplitude reflection coefficient ratio =G.sup.p/G.sup.s=tan .Math.exp(i). Through use of numerous lights having different incident angles included in the illumination light Q, data of numerous reflection lights can be acquired collectively in a hologram and can be processed.

Systems and methods for a camera system for imaging a diffuse medium such as mammalian tissue are provided herein. In one example, a camera system includes a light source configured to emit light, a first beam splitter positioned to split the emitted light into a reference beam and a transmission beam; an aperture though which the transmission beam traverses en route to an object, and where an object beam formed from light reflected off the object is configured to travel back through the aperture, a concave lens, a convex lens, a second beam splitter positioned intermediate the concave lens and the convex lens, and a detector. The detector is configured to receive at least a portion of the object beam and a portion of the reference beam to capture an image of an interference between the reference beam and the object beam.

Technologies are generally described to recover diffraction limited amplitude and phase images of objects from single shot image plane hologram data. In some examples, an image processor may receive digital hologram data derived from interference between a reference signal and an unknown object image. The image processor may then attempt to recover a version of the unknown object image by minimizing a cost function associated with the reference signal and the digital hologram data. The cost function may include a data-fit cost component and a constraint cost component, and the image processor may iteratively minimize the cost function by alternately minimizing the data-fit cost component and the constraint cost component.