This disclosure is related to devices, systems, and techniques for precisely measuring a wavelength of an optical signal. For example, a wavemeter system includes processing circuitry, a detector array, a set of optical chips, and a coarse wavelength unit configured to generate a coarse wavelength measurement of the input optical signal. The processing circuitry is configured to select an optical chip from a plurality of optical chips. The detector array is configured to generate a partial interferogram based on the at least the portion of the input optical signal. The processing circuitry is further configured to calculate an optical spectrum of the input optical signal based on the partial interferogram corresponding to the at least the portion of the input optical signal and the calibration matrix and identify, based on the optical spectrum of the input optical signal, the precise wavelength of the input optical signal.

Disclosed herein are devices and methods for screening gemstones (e.g., diamonds). In particular, the disclosed method and system can efficiently and accurately identify and distinguish genuine earth-mined gemstones (e.g., diamond) from synthetic and treated gemstones or gemstone simulants.

This disclosure relates to processing a spectral dataset, such as a hyperspectral image or a large collection of individual spectra taken with the same spectrometer, to increase the signal-to-noise ratio. The methods can also be used to process a stack of images that differ by acquisition time rather than wavelength. The methods remove most of the sensor background noise with minimal corruption of image texture, anomalous or rare spectra or waveforms, and spectral or time resolution.

Disclosed herein are systems and methods of estimating the autofluorescence (AF) signal and other non-target signals in each channel of a multi-channel image of a biological sample that is stained with one or more fluorescent labels. In some embodiments, the estimated autofluorescence signal can then be subtracted or masked from the multi-channel image. In some embodiments, the autofluorescence-removed multichannel image can then be use for further processing (e.g. image analysis, etc.).

Imaging systems and techniques are described. An imaging system determines, based on image data of a scene received from an image sensor, a first plurality of pixel values corresponding to a first electromagnetic (EM) frequency domain and a second plurality of pixel values corresponding to a second EM frequency domain. The imaging system reduces the first plurality of pixel values using a plurality of cross-domain contamination values (based on the second plurality of pixel values) to generate a third plurality of pixel values. The imaging system determines a reconstructed pixel value based on a combination of at least an overexposed pixel value of the first plurality of pixel values and a corresponding pixel of the third plurality of pixel values. The imaging system outputs a reconstructed image that includes the reconstructed pixel value and a subset of the third plurality of pixel values.

The present invention is directed to a computer-implemented method of automatically identifying the presence of one or more elements in a sample via optical emission spectroscopy. The method includes the steps of obtaining sample spectrum data from the sample, obtaining a list of one or more predetermined emission wavelengths for each element in the periodic table quantifiable by optical emission spectroscopy, each predetermined emission wavelength being associated with a list of one or more potential interference emission wavelengths, determining a list of one or more analyte wavelengths corresponding to spectral peaks in the sample spectrum data based on the list of emission wavelengths, for each analyte wavelength, determining whether the corresponding spectral peak has a likelihood of being affected by an interference emission wavelength causing spectral interference based on the list of one or more potential interference emission wavelengths corresponding to the analyte wavelength, determining a revised list of one or more analyte wavelengths by removing from the list of analyte wavelengths, analyte wavelengths corresponding to spectral peaks having a likelihood of being affected by an interference emission wavelength, and determining a level of confidence that one or more elements are present in the sample based on a set of criteria applied to the revised list of analyte wavelengths.

Provided are a method and a device, for processing spectrum data of an image sensor. The method includes obtaining spectrum response signals corresponding to channels of spectrum data of light, the spectrum data being obtained from an object by an image sensor; determining a set of bases corresponding to the obtained spectrum response signals; performing, based on the determined set of bases, a change of basis on at least one basis included in the determined set of bases; and generating, by using a pseudo inverse, reconstructed spectrum data from the spectrum response signals on which the change of basis has been performed.

The invention relates to a characterization device (50) for characterizing a sample (S) comprising: a memory (MEM) storing a measured spectrum (A.sub.s+p) of said sample, performed through a translucent material, and a measured spectrum of the translucent material (A.sub.p), a processing unit (PU) configured to: determine a spectral energy (E.sub.s+p) of the measured spectrum (A.sub.s+p) of the sample through the translucent material (A.sub.s+p), estimate a coefficient ({circumflex over ()}) from said spectral energy (E.sub.s+p) and, determine a corrected spectrum (.sub.s) of the sample from the measured spectrum (A.sub.s+p) of the sample through the translucent material and from a corrected spectrum of the translucent material (.sub.p),
said corrected spectrum of the translucent material (.sub.p) being determined from the measured spectrum of the translucent material (A.sub.p) and from the estimated coefficient ({circumflex over ()}).

A Raman spectrum detecting method and electronic device are disclosed. In one aspect, an example method includes detecting and obtaining a first Raman spectrum signal of a package. A second Raman spectrum signal of the object is detected and obtained with the package. The first Raman spectrum signal is successively subtracting from the second Raman spectrum signal to obtain a series of third Raman spectrum signals with package interference eliminated. Information entropies of the third and first Raman spectrum signals are calculated and compared with information entropy of the first Raman spectrum signal. Information entropies of third Raman spectrum signals greater than the first Raman spectrum signal are set into an information entropy sequence to be selected, and a minimum information entropy from the sequence is selected. The third Raman spectrum signal corresponding to the minimum information entropy is used as an optimized Raman spectrum signal with package interference eliminated.

Imaging systems and techniques are described. An imaging system determines, based on image data of a scene received from an image sensor, a first plurality of pixel values corresponding to a first electromagnetic (EM) frequency domain and a second plurality of pixel values corresponding to a second EM frequency domain. The imaging system reduces the first plurality of pixel values using a plurality of cross-domain contamination values (based on the second plurality of pixel values) to generate a third plurality of pixel values. The imaging system determines a reconstructed pixel value based on a combination of at least an overexposed pixel value of the first plurality of pixel values and a corresponding pixel of the third plurality of pixel values. The imaging system outputs a reconstructed image that includes the reconstructed pixel value and a subset of the third plurality of pixel values.