A small, handheld Raman spectrometer device can be built from a laser, lenses, and a diffraction grating configured in a right-angle Raman spectroscopy geometry, and used in conjunction with a cell-phone camera to record the Raman spectra. The cell-phone-based Raman spectrometer system is suited to performing in-situ measurements of chemical and biological molecules.

A microscope includes a digital imaging device. The digital imaging device comprises a processor which is configured to: obtain a number of digital grayscale images of an object at a number of different spectral sensitivities, each of the digital grayscale images including grayscale information based on a different one of the different spectral sensitivities, obtain a number of weighting factors for each of the digital grayscale images, the weighting factors being allocated to a number of color channels defining a predetermined color space, and synthesize a digital color image of the object from the digital grayscale images in the color space by distributing the grayscale information of each grayscale image over the color channels in accordance with the weighting factors.

Method for selecting an elastic venous restraint orthosis intended to be slipped onto a lower limb of a patient. Acquisition of a photograph representing the skin of the limb and a calibration map including one or more calibration zones. The calibration map is placed on the limb in a position termed the “acquisition position.” Calibration of the photograph by the calibration zone or zones, in such a way that the representation of the skin on the photograph exhibits a calibrated colour. Selection, as a function of the calibrated colour, by computer and from a set of colours of a tone chart, of a tone chart colour, preferably of the tone chart colour closest to the calibrated colour, termed the “optimal colour,” and then determination, by computer, of an orthosis colour as a function of the tone chart colour selected. Selection of an orthosis exhibiting the orthosis colour.

A measurement method includes: (a) measuring an emission intensity for each wavelength of light detected from a plasma generated in a plasma processing apparatus at each different exposure time by a light receiving element; (b) specifying, with respect to each of a plurality of different individual wavelength ranges that constitutes a predetermined wavelength range, a distribution of the emission intensity in the individual wavelength range measured at an exposure time at which an emission intensity of a predetermined wavelength included in the individual wavelength range becomes an emission intensity within a predetermined range; (c) selecting a distribution of the emission intensity in the individual wavelength range from the distribution of the emission intensity specified in (b); and (d) outputting the distribution of the emission intensity selected for each individual wavelength range.

A downhole tool has a tool body with an outer diameter equal to a borehole diameter, at least one cavity formed in and opening to an outer surface defining the outer diameter of the tool body, a light source, a filter, and a light detector mounted in the at least one cavity, and a window disposed at the opening of the at least one cavity, wherein the window encloses the cavity.

Aspects relate to mechanisms for mass screening of samples. A portable laboratory device based on spectroscopic analysis of samples containing analytes under test can facilitate the mass screening. The portable laboratory device can include a sample head including a structure configured to facilitate application of the sample to the sample head and an optical measurement device including one or more light sources and a spectrometer. Light from the light source(s) incident on the sample may be directed to the spectrometer to obtain a spectrum of the sample. The optical measurement device can further include a data transfer device configured to provide the spectrum obtained by the spectrometer to a spectrum analyzer to produce a result from the spectrum.

Configurable handheld biological analyzers and related biological analytics methods are described for identification of biological products based on Raman spectroscopy. A biological classification model configuration is loaded into a computer memory of a configurable handheld biological analyzer having a processor and a scanner. The biological classification model configuration includes a biological classification model configured to receive a Raman-based spectra dataset defining a biological product sample as scanned by the scanner. A spectral preprocessing algorithm is executed to reduce a spectral variance of the Raman-based spectra dataset. The biological classification model identifies a biological product type based on the Raman-based spectra dataset and further based on a classification component selected to reduce at least one of (1) a Q-residual error or (2) a summary-of-fit value of the biological classification model. The biological classification model configuration is transferrable to and loadable on other configurable handheld biological analyzers.

A precision agriculture support system is provided with a measuring device, a storage device and a plant species determining unit. The measuring device measures a first spectral characteristic of light derived from vegetation in a support target area. The storage device stores a database of spectrum according to species that shows a spectral characteristic of a desired crop. The plant species determining unit determines whether a plant included in the vegetation is the desired crop or not based on the database of spectrum according to species and a measurement result of the first spectral characteristic. The plant species determination unit further carries out distinction of agricultural crops, distinction of agricultural crops and weeds and the like. Furthermore, the precision agriculture support system identifies an area where abnormality is occurring, estimates a nature of the abnormality and carries out an early warning by providing a countermeasure against the abnormality.

A colorimetric system includes: a communication section that receives the color value of a color for which colorimetry has been performed by a colorimetric device that performs colorimetry; and a comparison processing section that performs comparison processing between the received color value and the color value of a reference color. The comparison processing section decides whether a line colorimetry error occurred on a line under colorimetry. When the comparison processing section decides that a line colorimetry error occurred, the communication section transmits information about the line colorimetry error to the colorimetric device.

A colorimetric system includes an acquiring unit that acquires a colorimetric value obtained by performing colorimetry by a colorimetric unit, a display processing unit that performs a process of displaying a comparison graphic obtained by combining a reference color graphic of a reference color region with a sample color graphic of a sample color region, and a comparison processing unit that compares a color value of a reference color set in the reference color region with a color value of a sample color set in the sample color region.