Systems and methods for measuring a temperature using an optical whispering gallery mode (WGM) resonator are disclosed. The system includes a WGM resonator operatively coupled to a tunable laser source and a detector, as well as a computing device. The computing device is configured to transform a transmission spectrum from the detector into a measured barcode that includes a matrix of values indicative of at least one characteristic of the transmission spectrum. The computing device is further configured to transform the measured barcode into a temperature based on a relative collective shift of the measured barcode from a reference barcode selected from a predetermined library of reference barcodes.

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.

Aspects relate to a spectral analyzer that can be used for biological sample detection. The spectral analyzer includes an optical window configured to receive a sample and a spectral sensor including a chassis having various component assembled thereon. Examples of components may include a light source, a light modulator, illumination and collection optical elements, a detector, and a processor. The spectral analyzer is configured to obtain spectral data representative of a spectrum of the sample using, for example, an artificial intelligence (AI) engine. The spectral analyzer further includes a thermal separator positioned between the light modulator and the light source.

A self-calibrating spectrometer that captures a sample spectrum image of a sample via a light dispersion device and a calibration spectrum image of a calibration light source having a known spectrum (e.g., in the same image frame using a bifurcated fiber optic cable). Spectral data is extracted from the sample spectrum image and wavelength calibrated by matching calibration spectral data extracted from the calibration spectrum image to the known spectrum of the calibration light source, mapping each pixel position of the calibration spectrum image to a wavelength of the known spectrum of the calibration light source, and mapping each pixel position of the sample spectral data to a wavelength based on the pixel position-to-wavelength mapping. In some embodiments, extracted features from the wavelength calibrated spectral data are used by classification module, trained on a dataset of features extracted from spectral data of known samples, to classify the sample.

A calibration method includes placing an LED light source having a given wavelength range inside a reference apparatus; acquiring first data as an emission intensity of light at a wavelength, a light amount of the light being adjusted in stages by changing the light amount output from the LED light source; storing the first data in a memory; placing the LED light source in a calibration target apparatus; acquiring second data as an emission intensity of light at a wavelength, a light amount of the light being adjusted in the stages by changing the light amount output from the LED light source; and calculating a calibration formula based on the first data stored in the memory and the second data.

It is possible to more appropriately perform fluorescence separation. An information processing apparatus according to an embodiment includes: a fluorescence signal acquisition unit (112) that acquires a plurality of fluorescence spectra corresponding to each of a plurality of excitation lights having different wavelengths and irradiated to a fluorescence stained specimen (30), the fluorescence stained specimen (30) being created by staining a specimen (20) with a fluorescence reagent (10); a link unit (131) that generates a linked fluorescence spectrum by linking at least parts of the plurality of fluorescence spectra to each other in a wavelength direction; a separation unit (132) that separates the linked fluorescence spectrum into spectra for every fluorescent substance using a reference spectrum including a linked autofluorescence reference spectrum in which spectra of autofluorescent substances in the specimen are linked to each other in the wavelength direction and a linked fluorescence reference spectrum in which spectra of fluorescent substances in the fluorescence stained specimen are linked to each other in the wavelength direction; and an extraction unit (132) that updates the linked autofluorescence reference spectrum using the spectra for every fluorescent substance separated by the separation unit.

A method for determining crystal phases of a glass ceramic sample, including the steps of applying energy to the sample using an excitation source, detecting raw Raman spectral energy that is given off by the sample using a detector, wherein the raw Raman spectral energy includes peak values, determining a plurality of predetermined energy peaks based off a composition of the sample, superimposing the plurality of predetermined energy peaks over the raw Raman spectral energy, applying a baseline value between each predetermined energy peak, subtracting the baseline value from the raw Raman spectral energy, calculating corrected peak values based on the raw Raman spectral energy and baseline value, and determining the crystal phases of the glass ceramic sample based on the corrected peak values.

A determination method includes: obtaining measurement data; selecting 0 or more second wavelengths from a plurality of first wavelengths including at least one of a plurality of measurement wavelengths to generate a plurality of individuals, by using a genetic algorithm; inputting, to a first model learned to reproduce a correct answer label of a target object, the measurement data of the target object belonging to a remaining group and a second spectroscopic spectrum determined by the second wavelength to discriminate a label of the target object belonging to the remaining group, for each of the plurality of individuals; and determining whether or not to use the second wavelength as the wavelength of the spectroscopic spectrum for discrimination based on a rate at which the label is correctly discriminated.

A method for configuring a target spectrometry device using a reference spectrometry device. The method involves: acquiring spectral measurements for a set of reference samples with the reference spectrometer and storing the spectral measurements in a reference database; acquiring target spectral measurements for a sub-set of reference samples with the target spectrometer and storing the spectral measurements in a target database; determining an average spectrum for each reference sample from the reference and target spectral measurements; determining a series of spectra for each average spectrum, which includes determining an optical transfer function of the target spectrometer and applying the optical transfer function to each average spectrum measured by the reference spectrometer; and storing the average spectrum and series of spectra of each reference sample in the target database. The determining steps use a computing module. Also, a spectrometry device configured for the method.

The present disclosure relates to displaying systems and methods. A displaying method may include adjusting one or more parameters of a backlight source of a display screen, wherein the one or more parameters include: a spectral full width at half maximum (FWHM) of a working channel of the backlight source, a peak wavelength of a working channel of the backlight source, and a first count of working channels of the backlight source; obtaining a first spectral curve of a reference object that the display screen displays under a predetermined reference light after adjusting the one or more parameters of the backlight source of the display screen; obtaining a target spectral curve of the reference object under the predetermined reference light; and controlling the display screen to display the reference object based on the first spectral curve and the target spectral curve.