10 results about "Reflectance spectroscopy" patented technology

An apparatus for intraoperative nerve identification and / or visualization of a target of interest of a living subject comprises a light source; an imaging head configured to acquire a polarized diffuse reflectance spectral image from the illuminated target of interest; and a controller configured to control the imaging head and to process the acquired polarized diffuse reflectance spectral image.

An input device assesses an object in a field of view using multi-wavelength reflectance spectroscopy to determine if the object is an actual user or an artifact. Light sources are operated to illuminate an object. For example, the object may be illuminated with white, violet, and infrared light simultaneously. A spectrometer comprising a plurality of detectors, each with associated wavelength filters determines intensity data indicative of intensity of light of these different colors as reflected from the object. The intensity data is processed to determine whether the object is part of a user or is an artifact. For example, if the object is deemed to be a user, biometric input may be acquired. The biometric input may then be processed to identify the user. The input device may be used at various locations, such as at an entry portal, point of sale, under direct solar illumination, and so forth.

The invention provides a coal quality online detection system and method based on multi-modal spectroscopy information, and the system comprises a TRLIBS module which is used for collecting a time-resolved laser-induced breakdown spectrum; the near infrared spectrum module is used for collecting a near infrared diffuse reflection spectrum of the coal sample; the sound spectrum acquisition module is used for acquiring a sound wave signal generated by the laser-induced plasma; the time sequence control module is used for synchronously controlling the acquisition time sequence of the TRLIBS module, the near infrared spectrum module and the sound spectrum acquisition module; and the data fusion processing module is used for carrying out feature extraction and fusion calculation on the received time-resolved laser-induced breakdown spectrum, near-infrared diffuse reflection spectrum and sound wave signals, and outputting coal quality indexes. Aiming at the problem of spectrum fluctuation caused by insufficient detection accuracy of a single spectrum technology and coal flow surface fluctuation in coal quality detection, the method provided by the invention improves the coal quality detection accuracy by integrating atomic spectroscopy, molecular spectroscopy and sound spectrum information and combining a synchronous time sequence control and intelligent fusion method.

The embodiment of the invention provides a soil bacterial community structure evaluation method and system based on an intermediate infrared spectrum transfer function and application, and relates to the technical field of soil microbial ecology. The method comprises the following steps: S1, collecting a soil sample; s2, acquiring a mid-infrared diffuse reflection spectrum of the soil sample to be detected; s3, acquiring an environment covariant corresponding to the soil sample, wherein the environment covariant comprises at least one of soil physicochemical properties, climate data and topographic parameters; s4, splicing the mid-infrared diffuse reflection spectrum obtained in the step S2 and the environment covariable obtained in the step S3 to form a fusion feature vector as an input feature set; and S5, inputting the input feature set into a pre-trained nonlinear machine learning regression model, and outputting the relative abundance and / or OTU richness of at least one bacteriophage in the soil sample. According to the method, a technical route of combining a mid-infrared (MIR) spectrum and a spectral transfer function (STF) is adopted and is used for predicting the soil bacterial community structure.

Introduced here are approaches that allow for usable, real-world reflectance spectroscopy to be achieved using a mobile device – like a smartphone – without any additional external hardware, in the presence of ambient light. These approaches enable spectroscopic measurements of material properties, as well as the mapping and imaging of material properties (and importantly, the ability to track changes in material properties over time in a quantifiable manner). The application of these approaches are widespread, including precise determination of color; identification of skin and hair chromophore and condition; identification of material; identification of changes in material state (e.g., due to sunlight, moisture, aging, use, etc.); detection of counterfeit articles; verification of living bodies (e.g., for security purposes); authentication of documentation; and agriculture, for example, to identify plant materials and establish condition.

A method and system for constructing a freshness detection model for leafy vegetables. This invention relates to the field of non-destructive testing technology for leafy vegetables, specifically a method and system for constructing a freshness detection model for leafy vegetables. The invention constructs a comprehensive evaluation index that can reflect changes in the quality of leafy vegetables from multiple perspectives. Based on this, it combines visible-near-infrared reflectance spectroscopy technology and further extracts representative dimensionality-reduced spectral indices to reduce redundancy and interference in spectral data, achieving rapid, accurate, and non-destructive detection of freshness. The method uses the test results of a leafy vegetable sample set as a judgment condition to construct a comprehensive freshness evaluation mechanism and screen methods for constructing comprehensive freshness indices. Based on the above method, the comprehensive freshness index value of leafy vegetables is obtained. From the dimensionality-reduced spectral data, spectral indices are selected to construct several freshness detection models. The optimal freshness detection model is selected and approved to detect the freshness of leafy vegetables.

A probe for label-free visualization of a target of interest (TOI) includes a delivering means for delivering light to illuminate the TOI therewith; a collecting means for collecting light from the illuminated TOI; an imaging means for acquiring polarized diffuse reflectance spectral (DRS) images from the illuminated TOI; and a controller configured to control the imaging means and process the polarized DRS images; identify a normalization spectral marker corresponding to a wavelength least absorbed by the TOI; identify tissue spectral marker(s) corresponding to a wavelength of statistically significant reflectance intensity; normalize the polarized DRS images based on the normalization spectral marker; identify reflectance intensity ratios between the normalization spectral marker and the tissue spectral marker(s) present in the normalized polarized DRS images; and identify tissue types including nerves visualized in the TOI based at least on a threshold associated with the reflectance intensity ratios.

The application discloses a device and method for rapidly determining total number of bacteria based on multi-wavelength reflection spectrum, which comprises: a light emitting element for emitting a continuous light beam; a monochromator arranged in the emission direction of the light beam for separating the light beam into monochromatic light of different wavelengths; an integrating sphere for receiving the monochromatic light separated by the monochromator and converging the diffused monochromatic light; a constant temperature element arranged in the integrating sphere for keeping the standard sample at constant temperature, the diffused reflection being generated after the monochromatic light irradiates the constant temperature standard sample; a photoelectric conversion element connected with the integrating sphere for converting the optical signal into an electrical signal; and an oscilloscope connected with the photoelectric conversion element for reading, calculating and recording the electrical signal conducted by the photoelectric conversion element. The application solves the technical problem that the existing detection method has a large error in detection result due to the size of bacteria individuals, the state of the sample and the color difference, so as to achieve the purpose of rapidly and accurately determining the total number of bacteria.

The application discloses a kind of based on image recognition's demolition garbage aggregate classification method, belong to demolition garbage processing technical field.The application collects the visible light image of aggregate, ultraviolet induced fluorescence image and infrared thermal image under pulse thermal excitation, shape class and shape irregularity index are extracted from visible light image, mortar coverage is extracted from ultraviolet fluorescence image, and microcrack density is extracted from infrared thermal image;Then determine shape grade and defect grade, fuse and output first to fourth level classification label.The application also identifies red brick particles through near-infrared reflectance spectroscopy, and distinguishes demolition induced cracks from original microcracks using thermal decay characteristics.The application realizes comprehensive, rapid and automated evaluation of aggregate shape, surface mortar, internal cracks and impurities, and the classification results can directly guide the utilization of aggregate resources, effectively improving the utilization rate of demolition garbage aggregate with high added value.

The present invention belongs to the field of rice salt-tolerance research, and specifically relates to a method for accurately evaluating salt tolerance of rice using spectroscopy. Compared with conventional salt-tolerance evaluation methods, the present technical solution can significantly shorten the testing cycle, increase evaluation efficiency, and reduce test errors caused by human factors. In addition, the evaluation method of the present invention uses the variation of spectral indices to evaluate the salt tolerance of rice seedlings, greatly improving resolution, enabling more accurate evaluation of salt-tolerance capability, and also greatly improving the repeatability and stability of evaluation results for salt tolerance at the rice seedling stage.