A method for analyzing microorganisms arranged in a sample is provided, the sample including a viability marker to modify an optical property of the microorganisms in different ways depending on whether they are dead or alive, the method including illumination of the sample and acquisition of an image of the latter by an image sensor, the image sensor then being exposed to an exposure light wave; determining positions of different microorganisms from the acquired image; applying a propagation operator to calculate at least one characteristic value of the exposure light wave at each radial position and at a plurality of distances from the detection plane representing a change in the characteristic value between the image sensor and the sample; and identifying living microorganisms according to each profile.

The present disclosure provides improved systems and methods for automated cell identification/classification. More particularly, the present disclosure provides advantageous systems and methods for automated cell identification/classification using shearing interferometry with a digital holographic microscope. The present disclosure provides for a compact, low-cost, and field-portable 3D printed system for automatic cell identification/classification using a common path shearing interferometry with digital holographic microscopy. This system has demonstrated good results for sickle cell disease identification with human blood cells. The present disclosure provides that a robust, low cost cell identification/classification system based on shearing interferometry can be used for accurate cell identification. For example, by combining both the static features of the cell along with information on the cell motility, classification can be performed to determine the type of cell present in addition to the state of the cell (e.g., diseased vs. healthy).

A method of producing information from at least one camera image of an object, including: A) recording raw image data of the at least one camera image, B) evaluating the raw image data by a mathematical linkage to produce combination image data, C) deriving the information from the combination image data, D) outputting the information, E) determining an actual measure for a data quality of the raw image data prior to or after evaluation steps in step B), F) determining a deviation between the actual measure for the data quality and a target measure for the data quality of the raw image data of at least one camera image, and G) again recording all raw image data of those camera images, for which the deviation determined in step F) is greater than a predetermined threshold value and repeating at least one evaluation step from step B) and steps C) to F) either until the deviation determined in step F) for the raw image data of all camera images from the plurality of camera images is less than the threshold value or until a predetermined termination condition is fulfilled.

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.

A new diversity concept is provided for achieving accurate phase retrieval with a singleshot acquisition. Multiple irradiance data are obtained by a diffractive grating or CGH designed to generate multiple diffraction orders with different diversity values. The effective filters associated with the individual diffraction orders from the diffractive grating or CGH are calculated. The effective filters are extracted by numerical propagation, and they preferably include both real and imaginary values, which signify both absorption and phase shift versus position in the filter plane. The reconstruction process utilizes accurate knowledge of the effective filters for each diffraction order for high quality reconstruction of the extrinsic phase.

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.

A hologram that includes a formation layer and a reflection layer that are laminated. The formation layer has an optical phase modulation structure on a first interface in contact with the reflection layer. When reference light emitted from a point light source enters through a second interface different from the first interface of the formation layer, the entirety or part of an image to be reconstructed by the optical phase modulation structure is reconstructed as spatial information on the point light source side relative to the second interface.

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.

When the optical system is illuminated with an illumination light flux emitted from one extant input image point, an interference image generated by superimposing an extant output light flux output from the optical system and a reference light flux coherent with the extant output light flux is imaged to acquire interference image data, and thus to acquire measured phase distribution, and this acquisition operation is applied to each extant input image point. Thus, each measured phase distribution is expanded by expanding functions μn(u, v) having coordinates (u, v) on a phase defining plane as a variable to be represented as a sum with coefficients Σn{Ajn.Math.μn(u, v)}. When the optical system is illuminated with a virtual illumination light flux, a phase Ψ(u, v) of a virtual output light flux is determined by performing interpolation calculation based on coordinates of a virtual light emitting point.

A method for three-dimensional imaging of a sample (302) comprises: receiving (102) interference patterns (208) acquired using light-detecting elements (212), wherein each interference pattern (208) is formed by scattered light from the sample (302) and non-scattered light from a light source (206; 306), wherein the interference patterns (208) are acquired using different angles between the sample (302) and the light source (206; 306); performing digital holographic reconstruction applying an iterative algorithm to change a three-dimensional scattering potential of the sample (302) to improve a difference between the received interference patterns (208) and predicted interference patterns based on the three-dimensional scattering potential; wherein the iterative algorithm reduces a sum of a data fidelity term and a non-differentiable regularization term and wherein the iterative algorithm includes a forward-backward splitting method alternating between forward gradient descent (108) on the data fidelity term and backward gradient descent (110) on the regularization term.