A portable data collection device includes a FT-NIR spectrometer operable with a direct current (DC) power input, a hand-held probe having a large sampling area, a portable computer operable with a DC power input and configured for operation of the FT-NIR spectrometer; and a portable electric power source for providing a DC power output. The components of the portable data collection device are contained within a portable carrier. The portable data collection device is used onsite to obtain a spectra from a material sample. The spectra is sent by the portable computer of the portable data collection device to a remote computer/server. Application methods stored in a remote database analyze the spectra to obtain desired trait results for the material sample. The obtained results are stored on a remote database and can be displayed on a screen of an on-site mobile device.

In a method of measuring moisture in corn, an ear of corn is operatively coupled to a moisture meter and an amount of moisture is determined while the ear of corn is being grown on a corn plant. The moisture meter can use a spectrometry to determine the amount of moisture in the corn. A moisture meter includes a corn interface configured to conformingly engage the ear of corn when pressed against the ear of corn to form an optical seal about an opening through which the spectrometer determines the amount of moisture in the corn to inhibit ambient light from passing between the corn interface and the ear of corn into the at least one opening.

A system and method using remote sensing instrument with hyper spectrum quantitatively measure metal dust elements in lubricating oil, which includes (no limited): Al, Cd, Cr, Cu, Fe, Pb, Mg, Mn, Mo, Ni, Ag, Sn, Ti, V, Zn, B (Boron, for Coolant), Ca (Calcium for water contaminant), and particle size, cone penetration, dropping point, steel mesh oil separation, moisture, PQ concentration, in few seconds. The instrument integrates near-field communication (NFC), Internet of Thing (IoT), Cloud computing, spectral matching and other data processing, and application software forming a system to easily operated and build a model enable self-learning to improve precision through collection accumulation. With the system, the instrument as FIG. 1 can provide comprehensive on-site analysis enable preventive maintenance of mission critical engine and rotating equipment. The characteristics of the system are easy to operate, get result quickly, and self-learning to improve precision.

A protective sheath having a closed end and an open end is sized to receive a hand held spectrometer. The spectrometer can be placed in the sheath to calibrate the spectrometer and to measure samples. In a calibration orientation, an optical head of the spectrometer can be oriented toward the closed end of the sheath where a calibration material is located. In a measurement orientation, the optical head of the spectrometer can be oriented toward the open end of the sheath in order to measure a sample. To change the orientation, the spectrometer can be removed from the sheath container and placed in the sheath container with the calibration orientation or the measurement orientation. Accessory container covers can be provided and placed on the open end of the sheath with samples placed therein in order to provide improved measurements.

In one embodiment, a diagnostic system for biological samples is disclosed. The diagnostic system includes a diagnostic instrument, and a portable electronic device. The diagnostic instrument has a reference color bar and a plurality of chemical test pads to receive a biological sample. The portable electronic device includes a digital camera to capture a digital image of the diagnostic instrument in uncontrolled lightning environments, a sensor to capture illuminance of a surface of the diagnostic instrument, a processor coupled to the digital camera and sensor to receive the digital image and the illuminance, and a storage device coupled to the processor. The storage device stores instructions for execution by the processor to process the digital image and the illuminance, to normalize colors of the plurality of chemical test pads and determine diagnostic test results in response to quantification of color changes in the chemical test pads.

A Raman spectrometer arrangement comprising a Raman spectrometer 1 having a laser 1001 for illuminating a sample S and a spectrometer accessory 4 configured to be mounted on the spectrometer, wherein the spectrometer accessory comprises a surface configured to receive the sample S. The Raman spectrometer arrangement is configured to operate in at least a first configuration and a second configuration, wherein the first configuration is such that the laser 1001 illuminates the sample S before reaching a level of the surface and the second configuration is such that the laser 1001 reaches the level of the surface before illuminating the sample S.

A device may include a sensor window. The sensor window may include a substrate. The sensor window may include a set of layers disposed onto the substrate. The set of layers may include a first subset of layers of a first refractive index and a second set of layers of a second refractive index different from the first refractive index. The set of layers may be associated with a threshold transmissivity in a sensing spectral range, and may be configured to a particular color in a visible spectral range and associated with a threshold opacity in the visible spectral range. The device may include a spectral sensor device aligned to the sensor window and including at least one sensor element to receive light in the sensing spectral range and provide a plurality of sensing functionalities based on at least one measurement of the light in the sensing spectral range.

A user device for imaging a scene includes a first plurality of optical sensors coupled to a substrate for collecting an image of a scene and a second plurality of optical sensors coupled to the substrate for collecting spectral information from the image. A plurality of sets of interference filters are associated with the second plurality of optical sensors, where each interference filter of a set of interference filters is configured to pass light in one of a plurality of wavelength ranges to one or more optical sensors of the second plurality of optical sensors and each optical sensor of the plurality of optical sensors is associated with a spatial area of the image. A processor is adapted to receive an output from the first plurality of optical sensors and the second plurality of optical sensors and determine, based on the spectral information, a target area within the scene. The processor is further adapted to retrieve focus data for the scene, determine a focus distance for the target area and output user-perceptible information to an output display.

Techniques are disclosed for a chemical sensor architecture based on a fabric-based spectrometer. An example apparatus implementing the techniques includes a portable spectrometer device including a first fabric layer and a second fabric layer coupled to the first fabric layer to form a pouch. The second fabric layer includes a fiber fabric spectrometer substrate comprising a fiber material including one or more electronic devices, wherein the pouch is configured to receive a colorimetric substrate and the fiber fabric spectrometer substrate is configured to measure reflectance of a colorimetric substrate disposed in the pouch.

An optical module includes a micro spectrometer. The micro spectrometer includes an optical crystal, a lens, and a photosensitive assembly. The optical crystal is configured to receive detection light and covert the detection light into interference light. The optical crystal is surrounded by a sleeve, the sleeve configured to fix a position of the optical crystal. The lens is configured for receiving the interference light and focusing the interference light. The photosensitive assembly is configured for imaging the interference light into an interference image. The optical module further comprises a controller. The controller is electrically connected to the photosensitive assembly, and the controller is used to convert the interference image into light wavelength signals and light intensity signals.