Systems and methods here may be used for automated capturing and analyzing spectrometer data of multiple sample gemstones on a stage, including mapping digital camera image data of samples, applying a Raman Probe to a first sample gemstone under evaluation on the stage, receiving spectrometer data of the sample gemstone from the probe, automatically moving the stage to a second sample, using the image data, and analyzing the other samples.

In a method for measuring at least two different components of a fluid, the fluid is to a first measuring cell and a second measuring cell. In the first measuring cell, a first component of the fluid is excited by a first excitation to trigger a first light emission, and in the second measuring cell, a second component of the fluid is excited by a second excitation which is different from the first excitation, thereby triggering a second light emission. The first light emission and the second light emission are captured by an optical system facility and guided by the optical system facility in a direction of a detector facility which measures the first light emission and the second light emission.

A system for real-time assessment of systemic hydration includes a light source configured to operably emit light of first and second wavelengths; means for delivering the emitted light to a target site to excite at least one first spot at the target site, and collecting Raman scattering light scattered from the target site at a plurality of second spots; a detector coupled with said means for obtaining a plurality of spatially offset Raman spectra from the collected Raman scattering light, each spatially offset Raman spectrum corresponding to a respective second spot of the target site and associated with a depth of tissues at which the Raman scattering light is scattered; and a controller configured to process the plurality of spatially offset Raman spectra so as to identify spectral features from the plurality of spatially offset Raman spectra, and assess systemic hydration from the identified spectral features.

A system for real-time assessment of systemic hydration includes a light source configured to operably emit light of first and second wavelengths; means for delivering the emitted light to a target site to excite at least one first spot at the target site, and collecting Raman scattering light scattered from the target site at a plurality of second spots; a detector coupled with said means for obtaining a plurality of spatially offset Raman spectra from the collected Raman scattering light, each spatially offset Raman spectrum corresponding to a respective second spot of the target site and associated with a depth of tissues at which the Raman scattering light is scattered; and a controller configured to process the plurality of spatially offset Raman spectra so as to identify spectral features from the plurality of spatially offset Raman spectra, and assess systemic hydration from the identified spectral features.

According to the present disclosure, a method for detecting an analyte using surface enhanced Raman spectroscopy (SERS) is provided. The method comprises (a) contacting one or more analyte-binding molecules with the analyte under conditions that allow binding of the analyte to the one or more analyte-binding molecules to form a first mixture, wherein the analyte is preferably haptogloblin and the analyte-binding molecule may comprise haemoglobin or is a haptogloblin antibody, (b) contacting a liquid reagent comprising a peroxidase substrate and a peroxide source with the first mixture to form a second mixture, while maintaining pH of the second mixture at 10 or less, (c) quenching the second mixture to form a third mixture, (d) optionally contacting the third mixture with a SERS-active substrate, and (e) detecting a surface enhanced Raman signal from the third mixture and/or a surface of the SERS-active substrate.

In an embodiment an apparatus includes at least one optoelectronic laser configured to provide excitation radiation to a sample, the excitation radiation being generated by an electric current flowing through the at least one optoelectronic laser, a transistor configured to modulate the electric current flowing through the at least one optoelectronic laser in order to switch on and off generation of the excitation radiation and a spectrometer configured to analyze Raman light scattered from the sample in response to exposing the sample to the excitation radiation, wherein the Raman light includes one or more spectral components, wherein the spectrometer includes a diffraction element configured to split the Raman light into the spectral components, and wherein the diffraction element includes at least a photonic crystal or a plasmonic Fabry Perot filter.

In an embodiment an apparatus includes at least one optoelectronic laser configured to provide excitation radiation to a sample, the excitation radiation being generated by an electric current flowing through the at least one optoelectronic laser, a transistor configured to modulate the electric current flowing through the at least one optoelectronic laser in order to switch on and off generation of the excitation radiation and a spectrometer configured to analyze Raman light scattered from the sample in response to exposing the sample to the excitation radiation, wherein the Raman light includes one or more spectral components, wherein the spectrometer includes a diffraction element configured to split the Raman light into the spectral components, and wherein the diffraction element includes at least a photonic crystal or a plasmonic Fabry Perot filter.

The disclosure provides a method for removing background from a spectrogram, including: finding out peak information of a raw spectrogram, the peak information including a peak position, a starting point, an ending point, and a peak width w of a peak; processing, within each peak area defined by the starting point and the ending point of each peak of the raw spectrogram, each peak of the raw spectrogram by using a SNIP method so as to obtain background data within each peak area; replacing, within each peak area, data of the raw spectrogram with the background data obtained through processing by using the SNIP method, so as to form a background spectrogram in a fitting way; smoothing the formed background spectrogram; and subtracting the smoothed background spectrogram from the raw spectrogram so as to obtain a spectrogram with removed background.

The disclosure provides a method for removing background from a spectrogram, including: finding out peak information of a raw spectrogram, the peak information including a peak position, a starting point, an ending point, and a peak width w of a peak; processing, within each peak area defined by the starting point and the ending point of each peak of the raw spectrogram, each peak of the raw spectrogram by using a SNIP method so as to obtain background data within each peak area; replacing, within each peak area, data of the raw spectrogram with the background data obtained through processing by using the SNIP method, so as to form a background spectrogram in a fitting way; smoothing the formed background spectrogram; and subtracting the smoothed background spectrogram from the raw spectrogram so as to obtain a spectrogram with removed background.

A method, a system, and a non-transitory computer readable medium for accurate Raman spectroscopy. The method may include executing at least one iteration of the steps of: (i) performing, by an optical measurement system, a calibration process that comprises (a) finding a misalignment between a region of interest defined by a spatial filter, and an impinging beam of radiation that is emitted from an illuminated area of a sample, the impinging beam impinges on the spatial filter; and (b) determining a compensating path of propagation of the impinging beam that compensates the misalignment; and (ii) performing a measurement process, while the optical measurement system is configured to provide the compensating path of propagation of the impinging beam, to provide one or more Raman spectra.