Provided is a measurement device including a spectroscope, a movement mechanism configured to relatively move the spectroscope along a first direction with respect to the measurement target, and one or more processors configured to execute detecting a measurement error indicating that spectroscopic measurement processing by the spectroscope is not executed normally, and controlling the spectroscope and the movement mechanism, in which the one or more processors, when the measurement target is a plurality of color patches arranged along the first direction, cause the spectroscope to execute first measurement processing of measuring light with a specific wavelength set in advance while relatively moving the spectroscope in the first direction to acquire a measured value with respect to the specific wavelength obtained by the first measurement processing and a position of the spectroscope, and when the measurement error is detected, move the spectroscope to a position where an amount of variation of the measured value is greater than or equal to a threshold value in a second direction opposite to the first direction and then move the spectroscope in the first direction.

The disclosure relates to an optical spectrometer (1) for spectrally resolved two-dimensional imaging of an object (0), comprising a dispersing device (2) arranged to disperse radiation from object (0), a multi-lens array arrangement (3) arranged to receive the dispersed radiation from the dispersing device (2), a two-dimensional detector (4) arranged to receive the dispersed radiation as directed by the multi-lens array arrangement (3), wherein the optical spectrometer (1) further comprises a collimating arrangement (5) for collimating the radiation from object (0) before the radiation reaches the dispersing device (2), the collimating arrangement (5) comprising a diffusing plate (6) for diffusing the radiation and an optical micro-channel component (7) arranged to receive the diffused radiation comprising a plurality of parallel and linear optical micro-channels directed towards the dispersing device (2). The disclosure further relates to a method for spectrally resolved two-dimensional imaging of an object (0).

A method for generating a illumination dual-comb signal that provides a low frequency train of interferograms (180) readable by a regular video-rate camera (160) comprising N pixels and a sampling frequency of V Hz to extract hyperspectral information (170), the method comprising providing a monochromatic signal, splitting the monochromatic signal in two split monochromatic signals, frequency shifting each monochromatic signal with an offset frequency below

[00001]$\frac{V}{2}\mathrm{Hz},$

generating two frequency combs having a difference in repetition below

[00002]$\frac{V}{2}\mathrm{Hz}$

by a nonlinear modulation of the two split monochromatic signals, generate the illumination dual-comb signal, Illuminating a target and employing a video-rate camera (160) to read a low frequency train of interferograms (180) based on a reflected and/or transmitted signal of the illumination dual-comb signal and performing Fourier transformation of the low frequency train of interferograms (180) detected by each pixel from the N pixels to extract the hyperspectral information (170).

An imaging apparatus includes an image sensor, a filter array disposed on an optical path from a target object to the image sensor and including two-dimensionally-arranged optical filters, and a processing circuit that generates at least four pieces of spectral image data based on an image acquired by the image sensor. The optical filters include various types of optical filters with different spectral transmittance. Each of the at least four pieces of spectral image data indicates an image corresponding to one of at least four wavelength bands. The filter array includes at least one characteristic section. The processing circuit detects a relative position between the filter array and the image sensor based on the at least one characteristic section in the image acquired by the image sensor, and compensates for deviation between the relative position and a preliminarily-set relative position when the processing circuit detects the deviation.

An information processing device includes an image acquisition unit configured to acquire spectroscopic images for a plurality of spectral wavelengths as a captured image of an imaging target, a spectrum calculation unit configured to calculate an optical spectrum in each of pixels, based on the plurality of spectroscopic images, a feature wavelength detection unit configured to detect a feature wavelength of the optical spectrum in each of the pixels, a color set unit configured to calculate a feature angle corresponding to the feature wavelength in each of the pixels and set, as a feature color of a corresponding pixel, a color in the hue circle corresponding to the feature angle, and an image generation unit configured to generate a feature detection image obtained by converting each of the pixels of the captured image into the feature color corresponding to the pixel.

An optical sensor device includes an optical sensor; an optical filter; a phase mask configured to distribute a plurality of light beams associated with a subject in an encoded pattern; a movement component configured to move the phase mask; and one or more processors configured to: obtain, from the optical sensor, a first set of sensor data that indicates information related to first light that originates at the subject and passes through the phase mask when the phase mask is located at a first position; obtain, from the optical sensor, a second set of sensor data that indicates information related to second light that originates at the subject and passes through the phase mask when the phase mask is located at a second position; determine and provide, based on the first set of sensor data and the second set of sensor data, information associated with the subject.

Hardware and control software for use in the field of digital imaging and spectroscopy. More particularly, a hardware and software system that simultaneously measures electromagnetic energy as quantities of photons in distinct wavelength regions across the ultraviolet, visible, and infrared spectrum. The system records the measurements as digital data and employs a processor (preferably a programmable processor) that executes processing steps to enhance the spatial and spectral fidelity of the recorded signals. More specifically, the electro-optical sensor hardware is engineered to maximize the light collection efficiency, especially for low light intensities, by using multiple detectors, each of which is optimized individually to maximize its sensitivity to specific wavelength regions of interest. The detector system also employs a variable amplification process that is dependent on the signal intensity so that low signals can be increased for better detection while high signals are amplified less to stay within the dynamic range of the optical sensor that is used to convert the analog signal to a digital value. Solutions to existing problems of low light detection are provided as are new capabilities for data collection and analysis in previously undetectable low signal regimes. The systems and methods are applicable to a broad array of imaging applications in diverse fields from biomedical imaging to astronomy and remote sensing.

A biological tissue analyzing device configured to analyze a biological tissue using hyperspectral data in which spectral information is associated with each of pixels forming a two-dimensional image and comprising the following (i) and (ii), as well as comprising (iii) and/or (iv): (i) a hyperspectral data acquisition unit configured to acquire the hyperspectral data; (ii) an analysis target region extraction unit configured to extract pixels corresponding to an analysis target region from a two-dimensional image of the biological tissue; (iii) an altered state classification unit configured to roughly classify an altered state of the biological tissue with unsupervised learning; and (iv) an altered state identification unit configured to identify the altered state of the biological tissue with supervised learning.

A method of analyzing a substrate contacting a fluid present in an industrial system is provided. The method comprises creating a series of digital images of the substrate while contacting the fluid present in the industrial system. A region of interest in the series of digital images of the substrate is defined. A corrosion feature in the region of interest in the series of digital images of the substrate is identified. The corrosion feature in the region of interest in the series of digital images of the substrate is analyzed to determine a corrosion trend of the industrial system. In certain embodiments of the method, the fluid is industrial water, and the industrial system is an industrial water system.

An imaging spectropolarimeter for examining targets with polarized light, the spectropolarimeter including a light source adapted to produce polarized light directed at a target. Embodiments also include a three-camera camera system defining a three-camera camera axis with a first camera unit comprising a first analyzer set at 0°, a lens and a first multi-pixel sensor, a second camera unit comprising a second analyzer set at 45°, a lens and a second multi-pixel sensor, and a third camera unit comprising a third analyzer set at 90°, a lens and a third multi-pixel sensor. At least two beam splitters adapted to direct a portion of polarized light reflected from the target to each of the first, second and third camera units. Preferred systems include a processor adapted to produce polarimetric images of the target utilizing intensity information collected by the multi-pixel sensors.