20 results about "Reflectance spectroscopy" patented technology

The invention discloses a system for improving the precision of film thickness measurement by a reflection spectrometry, which is characterized by comprising a white light source for emitting light in a wide spectral range; the main spectrograph is used for measuring the reflection spectrum of the measured object; the monitoring spectrometer is used for monitoring the spectral intensity of the light source in real time; the optical fiber assembly comprises a multi-core optical fiber and a single-core optical fiber and is used for conducting light from the light source to a measured object and conducting reflected light to the main spectrograph; and the data processing unit is used for calibrating the incident light intensity in real time according to the data of the main spectrograph and the monitoring spectrograph and calculating the thickness of the thin film. According to the system for improving the precision of measuring the thickness of the thin film through the reflection spectrum method, the repeatability precision of measurement and the stability of long-term measurement are improved.

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 application provides a kind of portable collection device of insulating paper near-infrared diffuse reflectance spectroscopy, belongs to the technical field of spectrum collection, including main casing, cylindrical surface accessory, built-in cavity handle and first optical fiber channel;One end of handle is communicated with the bottom of the rear end of main casing;Two ends of first optical fiber channel are communicated with the bottom of the front end of main casing and the other end of handle respectively;The front center of main casing is provided with main light outlet;There is integrating sphere and halogen lamp light source in main casing;One light outlet of integrating sphere is communicated with main light outlet, and the other light outlet is connected with external spectrometer through first optical fiber arranged along first optical fiber channel;Light inlet and halogen lamp light source are connected through collimating mirror and second optical fiber;Groove is opened in one end face of cylindrical surface accessory, and the other end is cylindrical face;Cylindrical surface accessory is provided with light channel communicated with main light outlet along axis direction.The light outlet of the collection device can be switched to cylindrical face, and perfect fit with the outer surface of insulating paper on site is realized.

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.

The application provides a method for enhancing high-frequency coherent phonon signals in time-domain transient reflection spectroscopy, and the method comprises the following steps: constructing an expression of coherent phonon damped oscillation, and performing time derivation operation on the expression of coherent phonon damped oscillation. The application has the beneficial effect that the application can amplify signals when the coherent phonon frequency is greater than 138GHz, and is convenient for data extraction, and the method of the application is extremely effective for weak ultrahigh-frequency oscillation signals.

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.

The application discloses a kind of measurement methods.Therein, measurement system includes: light source module, for providing visible light and near infrared light;Reflectance spectroscopy measurement module, for receiving the visible light reflected by the surface of sample to be measured and generating reflected spectrum;Spectral domain interferometry module, for receiving interference light and generating interference spectrum;Control module, control module is connected with reflectance spectroscopy measurement module and spectral domain interferometry module communication respectively, for receiving reflected spectrum and interference spectrum, and according to reflected spectrum and interference spectrum determines the film thickness and refractive index of sample to be measured.The technical scheme of the application can use spectral reflectance measurement principle, can also use spectral domain interferometry principle, can also be combined with both, ensure that different measurement modes are selected under different sample types to be measured, improve the accuracy of measurement system, and can flexibly respond to the measurement requirements of different types and thicknesses of samples to be measured.

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.

Method and device for diffuse reflectance spectroscopy comprising intensity and / or optical frequency modulation of the optical radiation. The invention relates to a method for measuring, by diffuse reflectance spectroscopy, the attenuation coefficient of a diffusing and / or absorbing part of a body (1), the method comprising the following steps: a) emission of optical radiation whose intensity and / or optical frequency are modulated, at least a part of the optical radiation, called the probe signal, irradiating the body; b) reception of a part of the probe signal scattered and reflected by the body, called the backscattered signal, and measurement of the path length d of the backscattered signal; c) measurement of the reflectance R of the part of the body through which the backscattered signal passes; d) calculation of the attenuation coefficient µ from the measured path length d and reflectance R. Figure for the abstract: Fig. 2

Proposed is a method for quantifying water and lipid contents in turbid media. Methods for quantifying water and lipid contents through non-invasive methods in turbid media in which scattering occurs upon penetration of near-infrared rays have yet to be proposed. In addition, existing apparatuses and methods for measuring body composition use frequency-domain and time-domain diffuse optical spectroscopy or infrared spectroscopy to measure water and lipid contents in tissue, whereby there are limitations that hardware configurations become complicated, and mass production and sales are subject to constraints. To solve such problems, proposed is a method for quantifying water and lipid contents in turbid media using narrowband diffuse reflectance spectroscopy, which uses only a near-infrared band in a range of 900 to 1,000 nm, configured such that the water and lipid contents can be accurately quantified in tissue through a simpler configuration than that in existing methods.

A noninvasive system and method estimate hemoglobin A1c, glucose, lipids, and other blood analytes without requiring a blood sample. The portable device uses diffuse reflectance spectroscopy and optical sensing across various wavelengths to collect data from the user's skin, interstitial fluid, saliva, sweat, tear fluid, or exhaled air. Machine learning algorithms analyze the optical data to estimate blood analyte levels, which are displayed on the device or synced with a software application. The system securely transmits data to the user's electronic health record for integration and remote monitoring. The invention encompasses FDA-approved, CE-marked, and non-FDA-approved devices, including key components, digital health features, and various medical applications.

The invention relates to an analysis method for quantitatively detecting trace and trace nickel ions in water based on an ultraviolet visible diffuse reflection spectrum enriched by a carboxyl fiber membrane. The preparation method comprises the following specific steps: preparing a carboxyl modified fiber membrane material, and preparing a nickel nitrate solution, a dimethylglyoxime ethanol solution and a Tris-HCl buffer solution reagent required by an experiment; the enrichment conditions of the carboxyl fiber membrane on nickel ions, namely pH and flow velocity, are optimized by adopting a variable control method, so that the optimal enrichment condition is obtained; the detection conditions of nickel ions by adopting a variable control method: the dosage of a color developing agent dimethylglyoxime ethanol solution and the reaction time are optimized, and the optimal detection conditions are obtained; dropwise adding a color developing agent on the film to generate a Ni < 2 + > complex, and determining the optimal absorption wavelength point of nickel ions through an ultraviolet-visible diffuse reflection spectrum; the method comprises the following steps: preparing a series of Ni < 2 + > solutions with different concentrations under the optimal enrichment condition, enriching by using a carboxyl fiber membrane, dropwise adding a color developing agent on the membrane to directly detect the ultraviolet-visible diffuse reflection spectrum of the membrane, and establishing a working curve of Ni < 2 + >; the method is based on fiber membrane enrichment and ultraviolet-visible diffuse reflection spectrum technologies, does not need an elution step, and is rapid in detection and high in accuracy. The method is suitable for quantitative analysis of trace heavy metal ions in water.

The invention discloses a wild jujube surface pesticide residue detection device, which comprises: a detection unit, which is used for carrying out residue detection on pesticide on the surface of a detected object through a reflection spectrum; the cleaning unit is used for dissolving pesticide in a solution through ultrasonic cleaning; and the bearing unit is arranged between the detection unit and the cleaning unit and acts corresponding to the actions of the detection unit and the cleaning unit. According to the scheme, the spectral information of the pesticide residues on the skin and the pesticide concentration information of the solution are collected, and more accurate pesticide residue information on the skin of the wild jujube is obtained through comprehensive calculation.

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.

A bidirectional reflectance spectroscopy measurement device for trace mineral samples of extraterrestrial objects includes a monochromatic illumination module, a microscopic spectroscopy measurement module, a sample carrying module and a control and data analysis module, wherein the monochromatic illumination module is configured with a light outlet, the microscopic spectroscopy measurement module is configured with a light inlet, the sample carrying module is located between the light outlet and the light inlet, and the control and data analysis module is electrically connected to the monochromatic illumination module, the microscopic spectroscopy measurement module and the sample carrying module respectively, the sample carrying module is configured to place and protect a sample to be measured, by synchronously controlling the monochromatic illumination module and the microscopic spectroscopy measurement module, spectral data of different spectral bands of a trace sample to be measured in the sample carrying module is obtained.