A method of calibrating an imaging device adapted to characterize a feature of a sample container, such as a cap color or cap type. The method includes providing a calibration tube including an imaging surface at an imaging location of a first imaging apparatus; illuminating the imaging surface with light emitted from multiple front light sources; adjusting a drive current to each of the multiple front light sources to establish a substantially uniform intensity of the imaging surface; recording drive current values for the multiple front light sources; replacing the calibration tube with a calibration tool having a calibration surface of a known reflectance; and measuring target intensity values of the calibration tool at the respective drive current values. Calibration tools, imaging apparatus, quality check modules, and health check methods are provided, as are other aspects.

The invention is configured to include a spectroscopy cell 100 as a container including one or more spaces, each of which has a plate shape and contains a to-be-measured object that transmits or reflects a terahertz wave; and a holder 6 including one or more first holder through-holes 6b and 6c disposed at positions corresponding to the spaces of the spectroscopy cell 100, each of the spaces containing the to-be-measured object. A body portion 1 of the spectroscopy cell 100 is made of a resin material that transmits the terahertz wave, and the spectroscopy cell 100 is loaded into the holder 6 and is used. The holder 6 has a function of holding the spectroscopy cell 100, and a function of correcting one or more of a distortion, a twist, and a bending of the spectroscopy cell 100.

A method for calibrating sensitivity of a photometer includes measuring, by a double-beam spectrophotometer, an absorbance spectrum of a control solution, which has been diluted and includes a control substance. The method further includes linearly regressing the absorbance spectrum of the control solution over a predetermined range of wavelengths and determining whether a first slope of the linearly regressed absorbance spectrum of the control solution falls within a range of slopes of lines obtained from linearly regressing absorbance spectra of a plurality of reference solutions over the predetermined range of wavelengths. A concentration of chromophore in each reference solution is known and the absorbance spectra of the plurality of reference solutions have been obtained by the double-beam spectrophotometer.

A system includes a processor receiving spectrometer data representative of a scanned sample and generated by a spectrometer and a cloud server including a server processor. The server processor receives the spectrometer data generated by the spectrometer from the processor, analyzes the spectrometer data, identifies, based on a machine learning application, one or more unique characteristics of the spectrometer data which uniquely identifies the scanned sample and provides to the processor data representative of a graphical display, which includes an indication of whether or not the scanned sample includes the one or more unique characteristics of the spectrometer data.

A biological information measurement apparatus comprises: a spectrometer; a housing that contains the spectrometer and includes a surface on which a measurement target is to be placed, and an aperture portion through which light illuminating the measurement target placed on the surface and light reflected from the measurement target are to pass; and a shutter member that can move between a first position of opposing the aperture portion of the housing and a second position of retreating from the first position of opposing the aperture portion, the shutter member including a white reference surface. If the shutter member is at the first position, the spectrometer performs calibration using the white reference surface. If the shutter member is at the second position, the aperture portion and the measurement target oppose each other, and the spectrometer colorimetrically measures the measurement target.

A Fourier spectrophotometer includes: a light source; an interferometer configured to obtain first and second interferograms whose intensity distributions are inverted from each other from the light emitted from light source; a multiplexing optical system configured to multiplex the first and second interferograms to irradiate the sample with a resultant interferogram; a demultiplexing optical system configured to demultiplex the first and second interferograms contained in the light passing through the sample; a light receiver configured to output a first light reception signal obtained by receiving the demultiplexed first interferogram and a second light reception signal obtained by receiving the demultiplexed second interferogram; and a signal processing device configured to perform processing for obtaining a noise-removed spectrum of the wavelength component in the analysis wavelength band by using the first and second light reception signals.

Systems and methods for calibrating non-spatial measurements of a device under test (DUT) for misalignment between the DUT and a non-spatial measurement device are disclosed herein. A system for generating a misalignment calibration database can include, for example, a non-spatial measurement device and a high-precision translation stage. The system can generate a misalignment calibration database by taking measurements of a DUT at multiple misalignment locations. A system for measuring a DUT can include, for example, a spatial measurement device, a non-spatial measurement device, a translation stage, and/or a carrier tray. The system can capture measurements of the DUT at a first position and calibrate the measurements for misalignment using calibration data corresponding to the first position. For example, the system can retrieve calibration data from a calibration misalignment system that was taken at the same and/or different locations proximate the position of the DUT.

A fluid sensor for performing a reference measurement includes a support structure having a top main surface region; a thermal emitter on the top main surface region of the support structure; a first waveguide section and a first thermal radiation detector on the top main surface region of the support structure; and a cover structure on at least one part of the first waveguide section. The first waveguide section guides a first portion of the thermal radiation emitted by the thermal emitter to the first thermal radiation detector. The first thermal radiation detector detects the guided first portion of the thermal radiation for performing the reference measurement.

An analysis method for analyzing a sample includes a first step of acquiring measurement data including a first signal based on the sample and a second signal based on noise added to the first signal as a result of analysis of the sample, a second step of assuming a shape representing the first signal and a shape representing the second signal and modeling the measurement data using Bayesian inference, and a third step of estimating a probability distribution of characteristics of the sample based on the modeled measurement data.

It is disclosed a method for calibrating an electronic device for measuring the concentration of a biological compound, in particular bilirubin. The method comprises the step a) of performing (10) a plurality of reflectance measurements for each reference strip of a plurality of reference strips (110-1, 110-2, . . . 110-8) having respective predefined concentration values of the biological compound, the step b) of calculating (20), for each reference strip, a respective value of a statistical reflectance indicator as a function of the plurality of reflectance measurements, generating a plurality of values of the statistical reflectance indicator, the step c) of subdividing the plurality of values of the statistical reflectance indicator into at least two subsets (I, II, III), the step d) of interpolating (41) the values of the statistical reflectance indicator of each subset so as to generate an interpolation curve for each subset, the step e) of calculating (43), for each pair of interpolation curves relative to two adjacent subsets (I, II), a reflectance threshold value for which the difference of the reflectance values of the pair of interpolation curves is minimum, the step f) of selecting, for each interpolation curve, a portion delimited at least in part by the respective reflectance threshold values, said portion being associated with the respective plurality of values of the statistical reference indicator, and the step g) of generating (50) a calibration curve of the electronic device by combining the selected portions of the interpolation curves.