An apparatus for updating a bio-information estimation model according to an aspect of the invention includes: a data obtainer, which in response to a bio-information estimation model not being valid, is configured to obtain in vivo updating spectra measured during a predetermined period of time from a time when it is determined that the bio-information estimation model is not valid; and a processor configured to determine validity of the bio-information estimation model, and to update the bio-information estimation model using the obtained in vivo updating spectra and in vivo spectra used for generating the bio-information estimation model.

A method for harmonizing the responses of a plurality of Raman analyzers includes steps of calibrating an intensity axis response of a spectrometer to a reference light source and measuring a laser wavelength of a laser using the spectrometer. The method also includes steps of measuring a fluorescence spectrum induced by the laser at the laser wavelength of a plurality of standard reference material samples using the spectrometer, measuring a temperature of each standard reference material sample while measuring the fluorescence spectrum, and correcting the fluorescence spectrum of each standard reference material sample based on the respective temperature. The method further includes steps of deploying each standard reference material sample in one of a plurality of field calibrator devices and calibrating the intensity axis of one of the Raman analyzers using one of the field calibrator devices and the corrected fluorescence spectrum of the respective standard reference material sample.

A library of known intrinsic spectra is provided to identify at least one known material in a sample of interest. The library includes individual intrinsic spectra channels defined by the assignment of intrinsic spectra of at least one known material, and combinations thereof, so that the assigned intrinsic spectra of each intrinsic spectra channel is correlated to at least one known material. The at least one known material is identified in the sample of interest when intrinsic spectra obtained from the sample of interest is matched to an assigned intrinsic spectra of an intrinsic spectra channel of the library of known intrinsic spectra.

Disclosed is a calibration curve setting method for setting a calibration curve, the calibration curve setting method including: creating a first calibration curve on the basis of a measurement value obtained by measuring a standard sample for which a concentration of a predetermined component is known; creating a second calibration curve by correcting the created first calibration curve; displaying a screen configured to support an operator for restoring the second calibration curve to the first calibration curve; receiving an instruction of restoring the second calibration curve to the first calibration curve; and displaying the first calibration curve upon receiving the instruction of restoring.

As described herein, a method has been developed to estimate the gloss of a black or dark sample using a color measurement system. In such a system, when measuring a higher gloss sample, more illumination light reflected from the sample surface will be directed away from the receiving sensor, and thus less signal will be detected. Using a derived sensor-signal to surface-gloss relationship, the surface gloss of a sample can be calculated by applying the measurements of the sample to the signal to gloss relationship to obtain a more accurate gloss measurement of a sample under analysis.

There is provided a method of calibrating a sensor comprising a luminescent compound having a luminescence that depends on the concentration of an analyte, and a detector configured to detect light emitted by the luminescent compound, the method comprising providing a component comprising the luminescent compound in a package that maintains exposure of the luminescent compound to the analyte at a known first concentration, assembling the component into the sensor and measuring a first value of a characteristic of the luminescence of the luminescent compound while exposed to the analyte at the first concentration, measuring a second value of the characteristic of the luminescence of the luminescent compound while exposed to the analyte at a known second concentration different from the first concentration, and determining parameters representing the dependence of the characteristic of the luminescence on concentration of the analyte using the first value and the second value.

A method to normalize at least one of a population of subordinate clinical diagnostic analyzer to a master clinical diagnostic analyzer such that an assay result from a subordinate clinical diagnostic analyzer can be converted to the equivalent result of the master clinical diagnostic analyzer by using a simple multiplicative factor when the assay executed on each analyzer uses a common fluorescently labeled dye. Also a method to re-normalize a subordinate clinical diagnostic analyzer assay result to a master clinical diagnostic analyzer assay result by using a simple multiplicative factor when the assay executed on the subordinate clinical diagnostic analyzer uses a different fluorescently labeled dye than the assay executed on the master clinical diagnostic analyzer.

An image calibration method for imaging system is provided, including: specifying a detection area located in an image capture scope and the detection area having a unit to be tested; capturing a detection image respectively when the detection area is located in at least two locations within the image capture scope; combining the plurality of detection images and calculating to obtain a calibration figure; and applying the calibration figure to a captured image to complete the calibration. In this way, the calibration figure that adapt to the luminescent type and size of the unit to be tested can be obtained.

Aspects of the disclosure relate to techniques for analyzing unknown sample compositions using a prediction model based on optical emission spectra. One method comprises: receiving first emission spectra corresponding to a training sample comprising a plurality of pure elements of known concentrations; determining, based on the first emission spectra, a plurality of spectral regions corresponding to the plurality of pure elements of known concentrations; determining, for each spectral region corresponding to each pure element of a known concentration, features associated with a signature peak of the spectral region; training a prediction model to predict unknown concentrations of a plurality of constituents of an unknown sample based on an emission spectra of the unknown sample; receiving second emission spectra corresponding to the unknown sample comprising a plurality of constituents of unknown concentrations; and generating, based on the application of the trained prediction model, a concentration for each of the constituents of the unknown sample.

Methods for preparing a dilution series for use in forming calibration curves, preferably in the field of surface plasmon resonance, are provided. In one example, a dilution series is prepared by using receptacles such as tubes of a micro well plate in which samples of the dilution series are mixed. In another example, a dilution series is prepared by using a convection mix in a receptacle for achieving a concentration gradient in the sample. A biosensor system arranged to perform steps of methods disclosed are provided. A data processing apparatus and a software for performing steps of methods disclosed, and a computer readable medium for storing the software are also provided.