Systems and methods are provided for counting particles in a fluid flow. In an aspect, coordinates of particles are obtained from video data of particles in a fluid, the video data made up of a sequence of image frames. The particle positions are linked in each pair of consecutive image frames of the video data. The linked particle positions are used to calculate particle trajectories through sequential image frames of the video data, and the particles are counted based on the particle trajectory. In another aspect, the particle positons within each image frame are transformed to estimated positions within a common coordinate frame. The estimated particle positions of a particle are grouped into a cluster center, and the particle count is calculated based on the cluster centers.

A low-cost digital holography microscope (DHM) that is capable of performing inspection at high speed while accurately inspecting an inspection object at high resolution, an inspection method using the DHM, and a method of manufacturing a semiconductor device by using the DHM are provided. The DHM includes: a light source configured to generate and output light; a beam splitter configured to cause the light to be incident on an inspection object and output reflected light from the inspection object; and a detector configured to detect the reflected light, wherein, when the reflected light includes interference light, the detector generates a hologram of the interference light, and wherein no lens is present in a path from the light source to the detector.

The invention discloses a digital laser holography-based rapid lens center offset detection device, which relates to the technical field of lens detection and includes a spherical wave emission device, a reticle, a lens to be detected, an image sensor and a computer. The device is simple and stable in structure, and a complex optical receiving system and mechanical scanning are avoided. A detection method is high in efficiency and measurement accuracy, a process is simple, and a lens with an infinitely great focal length may be detected.

A control device includes a processor. The processor acquires positional information indicating a position of an observation target. The processor sets, from among a plurality of irradiation positions, a required irradiation position, which is an irradiation position corresponding to the position of the observation target indicated by the positional information and is an irradiation position required for obtaining a plurality of the interference fringe images that are sources of a super-resolution interference fringe image having a resolution exceeding a resolution of an imaging element. The processor causes a light source to emit an illumination light from the required irradiation position by controlling an operation of the light source, and causes the imaging element to outputs the interference fringe image at each required irradiation position.

A holographic camera system includes an imaging lens, a polarizer configured to circularly polarize light incident from the imaging lens, a geometric phase lens with a phase delay of λ/4, and an image sensor configured to replicate an interference pattern through self-interference of light output from the geometric phase.

A method of calibration of a device for analyzing at least one element present in a sample, said device including: a detection assembly configured to acquire an image formed by the interference between a light source and said sample; and digital processing means configured to detect a digital position of at least one element in said sample based on said acquired image; said calibration method including the implementation of a plurality of predetermined displacements of said sample with respect to said detection assembly and, for all of said displacements, the detection of a digital position of a same element to determine the digital position and the real position matching model according to the predetermined displacements and to the digital positions of said element after each displacement.

The invention is a method for estimating a representative volume of particles of interest (10 i) immersed in a sample, the sample extending in at least one plane, referred to as the sample plane (P 10), the sample comprising a sphering agent, capable of modifying the shape of the particles, the method comprising the following steps: a) illuminating the sample by means of a light source (11), the light source emitting an incident light wave (12) propagating towards the sample (10) along a propagation axis (Z); b) acquiring, by means of an image sensor (16), an image (I 0) of the sample (10), formed in a detection plane (P 0), the sample being arranged between the light source (11) and the image sensor (16), each image being representative of a light wave (14) referred to as an exposure light wave, to which the image sensor (16) is exposed under the effect of illumination; c) using the image of the sample (I 0), acquired during step b), and a holographic propagation operator, to calculate a complex expression (A (x, y, z)) of the exposure light wave (14) in different positions relative to the detection plane; the method comprising a step of estimating the representative volume (AA) of the particles of interest (10 i) depending on the complex expressions calculated during step c).

A computer calculates interference fringe phase estimated value data (30) of a phase-restored object image by performing iterative approximation calculation using interference fringe intensity data (10) measured by a digital holography apparatus and interference fringe phase initial value data (20), which is an estimated initial phase value of the image of the object. The interference fringe phase initial value data (20) is calculated by an initial phase estimator (300). The initial phase estimator (300) is constructed by implementing machine learning using interference fringe intensity data and the like for learning. The computer acquires reconfigured intensity data (40) and reconfigured phase data (50) by performing optical wave propagation calculation using the interference fringe phase estimation value data (30) of the image of the object acquired through phase restoration, and the interference fringe intensity data (10) used as input data for the initial phase estimator (300). This provides an iterative approximation calculation method and the like capable of making an initial value of a solution used in the iterative approximation calculation method a value close to the true value.

A method for observation of a sample, the sample comprising microorganisms immersed in a nontransparent culture medium, the culture medium being favorable to the development of the microorganisms, and the sample being arranged between a light source and an image sensor, includes illuminating the sample with the light source, the light source emitting light propagating along an axis of propagation; acquiring an image of the sample by the image sensor; and, from the image acquired, characterizing the microorganisms. Light travels along the microorganisms through the culture medium to the sensor.

A method for observing a sample, the sample lying in a sample plane defining radial positions, parameters of the sample being defined at each radial position, the method comprising: a) illuminating the sample using a light source, emitting an incident light wave that propagates toward the sample; b) acquiring, using an image sensor, an image of the sample, said image being formed in a detection plane, the sample being placed between the light source and the image sensor; c) processing the image acquired by the image sensor, so as to obtain an image of the sample, the image of the sample corresponding to a distribution of at least one parameter of the sample describing the sample in the sample plane; wherein the processing of the acquired image comprises implementing an iterative method, followed by applying a supervised machine learning algorithm, so as to obtain an initialization image intended to initialize the iterative method.