A reference imaging system including a planar reference piece. The reference imaging system further includes a three-axis gantry for positioning the planar reference piece at a plurality of points in a 3D coordinate system. Additionally, the reference imaging system includes a yaw actuator for adjusting the yaw angle of the object. Furthermore, the reference imaging system includes a pitch actuator for adjusting the pitch of the object. Moreover, the reference imaging system includes a computer processing unit for controlling the 3D position, pitch and yaw of the planar reference piece.

A reference imaging system including a planar reference piece. The reference imaging system further includes a three-axis gantry for positioning the planar reference piece at a plurality of points in a 3D coordinate system. Additionally, the reference imaging system includes a yaw actuator for adjusting the yaw angle of the object. Furthermore, the reference imaging system includes a pitch actuator for adjusting the pitch of the object. Moreover, the reference imaging system includes a computer processing unit for controlling the 3D position, pitch and yaw of the planar reference piece.

Establishing a rancidity index table and allocating a rancidity index value to an absorption or reflection spectrum of oil fruits, nuts and seeds (2) comprises: irradiating a sample of an oil fruit, a nut or a seed (2) with a light source (3), projecting the reflected and/or transmitted light onto a photosensor (4), detecting the absorption or reflection spectrum by means of the photosensor (4), extracting ingredients of the sample by determining volatile compounds, separating volatile components of the sample by means of gas chromatography, identifying separated volatile components by mass spectroscopic detection of relevant ones, determining a rancidity index value of the sample from identified volatile components of the sample, allocating the detected absorption or reflection spectrum of the sample to the rancidity index value, repeating the previous steps for a representative number of samples and forming a rancidity table from the determined rancidity index values and allocated absorption or reflection spectra.

The invention relates to a method for determining a finished medicinal product, having the following steps: providing a finished medicinal product to be determined in closed primary packaging; measuring an NIR measurement spectrum for the finished medicinal product to be determined through the closed primary packaging; comparing the NIR measurement spectrum with an NIR reference spectrum, which is associated with a medicinal product or an active ingredient of a medicinal product; and determining that the finished medicinal product to be determined contains the medicinal product or the medicinal product active ingredient when the NIR measurement spectrum and the NIR reference spectrum correspond within a margin for error. The invention further relates to a device for determining a finished medicinal product.

Provided is a multispectral imaging device for providing precise tracking and verification. The imaging device may configure a first filter for a sensor, and may determine first spectral properties of a target object based on a first image of the target object generated from visible light passing through the first filter onto the sensor. The imaging device may configure a different second filter for the sensor, and may determine second spectral properties of the target object based on a second image of the target object generated from the non-visible light passing through the second filter onto the sensor. The imaging device may align the second spectral properties of the second image with the first spectral properties of the first image, and may present the first spectral properties with the second spectral properties in a single composite image of the target object.

A system for performing spectroscopy on a target is provided. In some aspects, the system includes an optical assembly that includes an optical source configured to generate light at one or more frequencies to be directed to a target. The optical assembly also includes at least one optical filter configured to select desired light signals coming from the target, wherein the at least one optical filter comprises an etalon and at least one reflecting surface external to the etalon, the at least one reflecting surface being configured to redirect to the etalon, at least once, an incident beam reflected from the etalon.

A method for sourcing plants includes performing nondestructive near-infrared (NIR) scans on selected plants, determining a predicted value of a characteristic for the selected plants based on evaluation of spectral data from the NIR scans against a characteristic model, and utilizing the predicted values for purchasing, processing, and/or financial forecasting. A method of sorting and processing plants includes determining a predicted value of a characteristic in gathered plants and determining a process to recover a primary product and/or a byproduct of the plants based on the predicted value. A method for forecasting includes determining a composite value of a characteristic in plants from a prior time period, correlating source data of plants to be gathered in the later time period with a predicted value of the characteristic in those plants, and determining a predicted composite value of the characteristic in the plants to be gathered in the later time period.

Provided is a hyperspectral sensor including a spectral angle converting unit configured to convert an angle of incident light differently according to a wavelength, a diffraction unit configured to selectively diffract the incident light according to an incident angle and a wavelength, a focusing optics including at least one lens, and configured to collect diffracted light passing through the diffraction unit, and an image sensor configured to acquire an image passing through the focusing optics and formed on a focal plane, wherein the diffraction unit includes a volume Bragg grating having a periodic refractive index distribution therein.

A multi-channel measurement device for measuring properties of human tissue, may comprise a microcontroller and first and second source/sensor complexes. The first source/sensor complex may include a first housing having a first measurement portion, a first light sensor coupled to the microcontroller and exposed to the first measurement portion, and a first plurality of light sources coupled to the microcontroller and exposed to the first measurement portion. The second source/sensor complex may include a second housing having a second measurement portion, a second light sensor coupled to the microcontroller and exposed to the second measurement portion, and a second plurality of light sources coupled to the microcontroller and exposed to the second measurement portion. The first and second source/sensor complexes are coupled to each other such that the first measurement portion is opposite the second measurement portion and human tissue may be placed between the the first and second measurement portions. The microprocessor is configured with instructions stored in non-volatile memory to individually activate each of the light sources of the first and second pluralities of light sources and to record light intensity detected by the first and second light sources while an individual light source is activated. Each combination of an individually activated light source and one of the first and second light sensors provides a distinct measurement channel for measuring the absorption spectra of human blood and tissue.

A multi-channel measurement device for measuring properties of human tissue, may comprise a microcontroller and first and second source/sensor complexes. The first source/sensor complex may include a first housing having a first measurement portion, a first light sensor coupled to the microcontroller and exposed to the first measurement portion, and a first plurality of light sources coupled to the microcontroller and exposed to the first measurement portion. The second source/sensor complex may include a second housing having a second measurement portion, a second light sensor coupled to the microcontroller and exposed to the second measurement portion, and a second plurality of light sources coupled to the microcontroller and exposed to the second measurement portion. The first and second source/sensor complexes are coupled to each other such that the first measurement portion is opposite the second measurement portion and human tissue may be placed between the the first and second measurement portions. The microprocessor is configured with instructions stored in non-volatile memory to individually activate each of the light sources of the first and second pluralities of light sources and to record light intensity detected by the first and second light sources while an individual light source is activated. Each combination of an individually activated light source and one of the first and second light sensors provides a distinct measurement channel for measuring the absorption spectra of human blood and tissue.