A narrowband laser apparatus may be provided with a laser resonator including optical elements for narrowing a spectral linewidth, a spectrometer configured to detect spectral intensity distributions of multiple pulses included in a pulsed laser beam output from the laser resonator, a spectral waveform producer configured to produce a spectral waveform by adding up the spectral intensity distributions of the multiple pulses, a device function storage configured to store a device function of the spectrometer, a wavelength frequency function generator configured to generate a wavelength frequency function which represents a frequency distribution of center wavelengths of the multiple pulses, and a deconvolution processor configured to perform deconvolution processing on the spectral waveform with the device function and the wavelength frequency function.

Infrared detection systems according to embodiments include an infrared detector, a storage, and a correction calculator. The infrared detector is configured to detect infrared light by absorbing and photoelectrically converting infrared light of a specific wavelength range. The infrared detector is capable of sweeping an absorption peak wavelength of an absorption spectrum of infrared light. The storage is configured to store a plurality of correction coefficients for correcting a detection value from the infrared detector in accordance with the absorption peak wavelength of the infrared detector with respect to a wavelength range of an atmospheric window. The correction calculator corrects the detection value from the infrared detector for each absorption peak wavelength using corresponding correction coefficients stored in the storage.

In one aspect, a hyperspectral image measurement device is provided to include: a main body; an illumination module disposed in the main body and including LEDs having different peak wavelengths to irradiate light to a subject; a camera disposed on the main body and receiving light reflected from the subject to acquire an image of the subject; a barrel having a contact surface contacting the subject, the contact surface located to be spaced apart from the illumination module and the camera module by a predetermined distance; and a reference cover located on the contact surface and including a standard reflection layer for reflecting light irradiated from the illumination module toward the camera module.

There is provided a detector, and a method of calibrating or correcting a detection value in a wavelength range within an evaluable range by using a detection value in a wavelength range other than the evaluable range by using the detector. The detector includes an active layer containing a quantum well or quantum dots, and that is capable of sweeping a detection peak wavelength of a detection spectrum in a wavelength range within an evaluable range and a wavelength range other than the evaluable range, and is configured to correct or calibrate a detection value in the wavelength range within the evaluable range using a detection value in the wavelength range other than the evaluable range.

A discharge detection system includes a plurality of optical fibers having different optical distances from each other and provided to allow discharge light generated from a test object to enter at least one of the optical fibers, an optical sensor configured to detect the discharge light having entered the at least one of the optical fibers and to output a detection signal having a temporal change in an amplitude of the detection signal, the temporal change in the amplitude corresponding to a temporal change in intensity of the discharge light, and a signal processing system configured to identify an area where the discharge light is generated based a point of time of at least one peak in the detection signal.

A spectral image correcting apparatus includes: an image acquirer configured to acquire a spectral image; and a processor configured to detect a peak wavelength corresponding to a characteristic wavelength based on a differential value of a spectrum of the spectral image, and correct a curvature of the spectral image based on the detected peak wavelength.

In one aspect, a hyperspectral image measurement device is provided to include: a main body; an illumination module disposed in the main body and including LEDs having different peak wavelengths to irradiate light to a subject; a camera disposed on the main body and receiving light reflected from the subject to acquire an image of the subject; a barrel having a contact surface contacting the subject, the contact surface located to be spaced apart from the illumination module and the camera module by a predetermined distance; and a reference cover located on the contact surface and including a standard reflection layer for reflecting light irradiated from the illumination module toward the camera module.

According to one implementation, an explosive spark estimation system includes an explosive spark estimation system includes a measuring system and a processing system. The measuring system is adapted to measure intensity of light, included in a spark occurred from an object to be tested. The light is within at least one specific wavelength band. The processing system is adapted to determine whether the spark is explosiveness based on the intensity of the light. Further, according to one implementation, an explosive spark estimation method includes: measuring intensity of light, included in a spark occurred from an object to be tested, within at least one specific wavelength band; and determining whether the spark is explosive, based on the intensity of the light.

A spectral image correcting apparatus includes: an image acquirer configured to acquire a spectral image; and a processor configured to detect a peak wavelength corresponding to a characteristic wavelength based on a differential value of a spectrum of the spectral image, and correct a curvature of the spectral image based on the detected peak wavelength.

An analysis apparatus includes a light emission unit configured to emit measurement light including light in a 900 nm wavelength band to a sample, a light detection unit configured to acquire spectrum data of reflected light in the sample, a data processing unit configured to perform a noise removing process on the spectrum data, a first determination unit configured to store a PLS regression model associated with prediction of an amount of triglyceride in the sample and to determine an amount of triglyceride in the sample by applying the spectrum data subjected to the noise removing process to the PLS regression model, and a second determination unit configured to store data indicating a correlation with an amount of triglyceride in the sample and to determine an amount of brown adipose tissue or beige fat in the sample based on the data and the amount of triglyceride determined by the first determination unit.