Disclosed are a device and method for detecting a subsurface defect of an optical component. According to the device and method, a spectral confocal technology, a laser scattering technology and a laser-induced ultrasonic technology are combined, excitation laser and detection laser are simultaneously focused to different depths of the optical component through a dispersion lens set, the excitation laser generates a transient thermal expansion effect on a subsurface of the optical component, the detection laser is used for observing and analyzing ultrasonic vibration of the subsurface defect under an action of the thermal expansion effect, and spatial distribution information and scattered spectral information of scattered light at a position of the subsurface defect are acquired by the spectral confocal technology. The device and method are suitable for nondestructive testing of a finished product of an ultra-precise optical component with a strict requirement on the subsurface defect.

The present invention provides a particle enhanced agglutination immunoassay including the steps of: mixing a sample solution containing an analyte with a solution containing insoluble carrier particles carrying a binding partner or binding partners for the analyte to prepare a mixed solution; determining a variation (i) in intensity of light scattered from the mixed solution based on a difference in intensity of scattered light between first and second time points; determining a variation (ii) in absorbance of the mixed solution based on a difference in absorbance between third and fourth time points; and correlating the determined variation (i) in intensity of scattered light and the determined variation (ii) in absorbance with an amount of the analyte present in the sample using a calibration curve plotted based on the variation in intensity of scattered light and a calibration curve plotted based on the variation in absorbance. The present invention employs measurements of the intensity of scattered light and the absorbance in combination for a single assay, and thus provides a particle enhanced agglutination immunoassay which achieves higher sensitivity and a wider dynamic range than conventional assays.

An inspection apparatus includes a first optical system configured to irradiate a measurement object with ultraviolet light, a second optical system configured to detect, with a detector, at least one of the specific polarizations and fluorescence of 200 to 400 nm emitted from the measurement object, and a calculation unit that acquires information on an aromatic amino acid and a residue thereof in the irradiated portion according to a detection value of light detected by the detector.

A turbidimeter (1) according to the present disclosure is for measuring turbidity of an object to be measured (S) and includes a light source (21) that irradiates an irradiation light (L1) towards the object to be measured (S), a light receiver (22) including a solid-state image sensor (222) that outputs a detection signal of light to be measured (L2) that includes transmitted light (L21) and scattered light (L22) based on the irradiation light (L1) irradiated towards the object to be measured (S), and a controller (31) that calculates a spatial distribution (D) of intensity of the light to be measured (L2) on a light-receiving surface (A) of the solid-state image sensor (222) based on a detection signal of the light to be measured (L2) and calculates the turbidity based on the calculated spatial distribution (D).

An automatic analysis device has a plurality of types of photometers having different quantitative ranges, and an analysis control unit for quantifying the desired component in specimens based on measurement values of one or more photometers selected from among the plurality of types of photometers. The analysis control unit: sets a switching region in an overlap region of respective quantitative ranges of the plurality of types of photometers, said switching region having a greater width than does the variation in quantitative values of the desired component based on the measurement values of photometers having the same specimen; compares the quantitative value of a quantitative range portion that corresponds to the switching region and the quantitative values of the desired component based on the measurement values of the photometers; and selects a photometer to be used in quantitative output of the desired component from among the plurality of types of photometers.

A device for spectral analysis including a seat for holding therein a compound specimen; a light source for illuminating the compound specimen with a spectrum of light; and a detector configured for detecting light transmitted through or reflected from the biological sample, the detector including a pixel array having a plurality of pixels each of which being configured to detect intensity of one wavelength within the spectrum such that the pixel array obtains a spectral signature of the biological sample including intensities of wavelengths within the spectrum.

A multimode biological sample inspection apparatus and method is provided. The apparatus includes an illumination hardware arrangement comprising transmission and sensing hardware configured to inspect a biological sample using at least two modes from a group comprising a fluorescence imaging mode, a reflectance imaging mode, a scattering imaging mode, and a Raman imaging mode, and processing hardware configured to operate the illumination hardware arrangement according to a protocol comprising inspection settings of the at least two modes. The processing hardware receives scan results from the illumination hardware arrangement and identifies attributes of the biological sample by constructing a multidimensional dataset comprising at least one spatial dimension and at least one spectral dimension from the scan results and analyzing the multidimensional dataset. The processing hardware is configured to employ the attributes of at least one biological sample and alter the protocol.

An object recognition apparatus includes a first spectrometer configured to obtain a first type of spectrum data from light scattered, emitted, or reflected from an object; a second spectrometer configured to obtain a second type of spectrum data from the light scattered, emitted, or reflected from the object, the second type of spectrum data being different from the first type of spectrum data; an image sensor configured to obtain image data of the object; and a processor configured to identify the object using data obtained from at least two from among the first spectrometer, the second spectrometer, and the image sensor and using at least two pattern recognition algorithms.

Apparatus and methods for performing optical analyses in a harsh environment are disclosed. Some of the systems and methods of the present disclosure include fluorescence, absorption, and reflectance detection using a drum spectrometer. Other systems and methods of the present disclosure include a measurement channel and a parallel reference channel concurrently filtering optical signals.

An automatic analysis device has a plurality of types of photometers having different quantitative ranges, and an analysis control unit for quantifying the desired component in specimens based on measurement values of one or more photometers selected from among the plurality of types of photometers. The analysis control unit: sets a switching region in an overlap region of respective quantitative ranges of the plurality of types of photometers, said switching region having a greater width than does the variation in quantitative values of the desired component based on the measurement values of photometers having the same specimen; compares the quantitative value of a quantitative range portion that corresponds to the switching region and the quantitative values of the desired component based on the measurement values of the photometers; and selects a photometer to be used in quantitative output of the desired component from among the plurality of types of photometers.