244 results about "Ir microscope" patented technology

The invention relates to the technical field of electron microscope sample pretreatment, and discloses a critical point drying control method and device based on online near-infrared monitoring, and the method comprises the steps: obtaining infrared spectrum data, and unmixing the spectrum data to obtain a feature data set of a solvent; outputting a to-be-corrected signal according to the feature data set, correcting the to-be-corrected signal with preset data, and determining a signal feature of the solvent; carrying out dynamic correction on the signal characteristics and a preset characteristic matrix, outputting concentration time sequence data of the solvent, carrying out steady state judgment by combining a preset convergence threshold value, and determining a critical state of the solvent; acquiring control strategy data according to the critical state, analyzing the control strategy data into execution response characteristics, performing multi-channel mapping and correction processing, and outputting a process control signal; and performing control gain correction on the process control signal to finish closed-loop feedback control of the final drying process. The method is based on multi-solvent spectrum sensing and concentration dynamic analysis, and self-adaptive closed-loop control of the critical point drying process is achieved.

The invention relates to the technical field of numerical control, in particular to an engraving and milling machine machining track control method based on machine vision. Comprising the steps of receiving an operation task instruction, collecting a reflected light intensity matrix and processing thermal field data, and generating a source data packet; obtaining a fusion heat distribution matrix through the homography matrix; based on the friction thermal response coefficient, a physical tool nose contact area is judged, a dynamic feature mask is generated, the dynamic feature mask and the reflected light intensity matrix are operated, and a monitoring area is output; executing end coordinates are output through least square ellipse fitting, and sensor calibration parameters are inversely transformed into tool nose feedback coordinates; and reading interpolation instruction coordinates, calculating a differential vector, and driving a feed shaft motor to execute displacement compensation. According to the method, deep space-time coupling is performed on the physical cut-off characteristic of the infrared spectrum, the high-frequency texture characteristic of the visible light and the kinematics constraint of a numerical control system, so that a real tool nose hot spot and an optical virtual image are distinguished, and the uniqueness and authenticity of track identification are ensured.

The invention relates to the technical field of medical detection and spectral analysis, and discloses a spectrum detection method for microorganisms on a wound surface based on knowledge data dual-drive envelope fusion. The method comprises the following steps: firstly, acquiring a multi-band near-infrared spectrum signal of a wound surface through a fiber optic spectrometer, and carrying out normalization and smooth filtering pretreatment; analyzing optical characteristic parameters based on a diffuse reflection theory model, constructing a knowledge-driven characteristic sample space, extracting spectral high-order characteristics by using a one-dimensional deep convolutional neural network, and constructing a data-driven characteristic sample space; then generating a grain envelope sample through a double-flow feature fusion mechanism; and finally, constructing a lightweight dual-task classification model based on the particle envelope sample, and realizing rapid detection of fungal infection of the wound surface and identification of seven common bacteria. According to the method, the interpretability, the recognition precision and the robustness of characteristic pathology are considered, and an efficient and reliable technical scheme is provided for early clinical diagnosis of wound infection.

The invention relates to the technical field of gas leakage detection, and discloses a gas sensor-based gas leakage detection system and method. The system comprises a dynamic gas concentration acquisition module, a leakage feature extraction module, a risk area modeling module, a multi-mode verification module and a grading response control module. The acquisition module acquires multi-dimensional concentration data through a distributed sensor array and a self-adaptive sampling mechanism; the feature extraction module separates steady-state background and transient leakage features through spatial-temporal feature decomposition and generates feature vectors; the risk modeling module constructs a three-dimensional diffusion model, and outputs potential leakage point coordinates with confidence in combination with a hydrodynamic equation; the multi-modal verification module generates a fusion result through infrared spectrum and sound wave detection cross validation; and the grading response module is matched with the strategy library to dynamically generate a gradient control instruction. According to the system, accurate detection, positioning and graded response of gas leakage are realized, and the comprehensiveness of leakage monitoring and the pertinence of emergency treatment are improved.

The invention provides an STM32-based anaerobic fermentation biogas slurry near infrared transmission spectrum data on-line acquisition device. The device comprises a backwashing anti-blocking biogas slurry filtering system and an on-line liquid near infrared spectrum acquisition system, according to the system, a three-stage filtering mechanism is adopted, an STM32 microcontroller is taken as a core, a miniature optical fiber spectrometer and a halogen tungsten lamp light source are integrated to construct a compact transmission light path, and solid particles in biogas slurry are effectively removed by combining a backwashing anti-blocking T-shaped three-way filter, a double-buffer-bottle liquid level control mechanism and a PID liquid level control strategy; the cavitation phenomenon of a biogas slurry sampling pipeline is inhibited, the stability of sample conveying and the repeatability of spectrum collection are remarkably improved, and an efficient and portable online detection solution is provided for anaerobic fermentation process control; reliable hardware support is provided for application of a near infrared spectrum detection technology in a complex anaerobic fermentation environment.

The invention discloses a fresh medicine pulp quality dynamic monitoring and control method based on big data, and belongs to the technical field of traditional Chinese medicine processing and quality control. Comprising the following steps: collecting production environment, raw materials and process data through a multi-source sensor, and converting key component indexes of the raw materials in real time by utilizing a near infrared spectrum analysis technology; dimensionality reduction is carried out on the process data based on principal component analysis, and a deep long-short-term memory network is adopted to construct a quality correlation prediction model to realize key quality index prediction; a predicted value is compared with a standard range to realize multi-stage early warning, and abnormal dominant process parameters are analyzed and positioned based on gradient sensitivity; and when early warning is triggered, an intelligent control strategy generator obtained by training based on a depth deterministic strategy gradient algorithm is utilized to automatically generate a process parameter adjustment instruction. According to the invention, real-time sensing of raw material components and intelligent closed-loop regulation and control of the whole production process are realized, and the quality control precision, stability and intelligent level of fresh medicine slurry production are remarkably improved.

The invention discloses a method and a system for constructing an intelligent typing diagnosis model of psoriasis. The method comprises the following steps: S1, collecting pairing multi-modal data of a psoriasis patient whose fingernails are not tired, wherein the pairing multi-modal data comprises clinical information, scanning electron microscope images of fingernail surface morphology and infrared spectrum data of fingernail protein; s2, constructing a clinical feature encoder; s3, constructing a spectral feature encoder; s4, constructing an image feature encoder; s5, constructing a hierarchical fusion module; and S6, three loss function components are constructed, multi-objective optimization of the model is realized, and a total loss function is adopted to carry out model training. According to the method, the clinical information, the scanning electron microscope image of the nail surface morphology and the infrared spectrum data of the nail protein are integrated, and the multi-mode deep learning technology is combined, so that early recognition and prediction of psoriatic arthritis in a psoriasis patient are realized.

The invention discloses a device and a method for intelligently regulating and controlling liquid-liquid continuous separation of plant extracts, and belongs to the field of plant extract separation. The device comprises a mixing and concentrating device, a gravity type liquid-liquid separator and a data processing unit; the mixing and concentrating device is provided with a mixer, a film evaporator and a first near-infrared spectrometer; the gravity type liquid-liquid separator is provided with a plurality of flowmeters and a second near-infrared spectrometer; the method comprises the following steps: constructing a concentrated solution prediction model, monitoring parameters such as spectral data, temperature, stirring speed, flow and the like of the concentrated solution in real time, analyzing data through a data processing unit, optimizing a separation process by adopting a fuzzy PID control algorithm, regulating parameters such as interface height, temperature, stirring speed and the like in real time, and realizing accurate control on separation efficiency and separation effect. According to the invention, precise monitoring and regulation of liquid-liquid continuous separation of the plant extract are realized, and the separation efficiency and the separation effect are improved.

The invention belongs to the field of tobacco products, and relates to a method for evaluating the quality stability of ink for cigarette paper, which comprises the following steps: respectively mixing reference ink and ink to be detected with first and second organic solvents, separating out first and second liquids with the maximum layer thickness, concentrating or drying, and dissolving to obtain a first concentrated solution / solution and a second concentrated solution / solution; performing infrared spectrum detection on the first concentrated solution / solution, and performing matching degree calculation on all waveforms of a spectrogram; comparing the spectrogram with a standard spectrogram to determine main resin types; detecting the second concentrated solution / solution by gel permeation chromatography, calculating the number-average molecular weight of main resin by an external standard method according to a chromatogram, and then calculating the deviation ratio of the number-average molecular weight of the main resin of the to-be-detected ink and the reference ink; and calculating the comprehensive score according to the formula that the comprehensive score = w1 * all waveform matching degrees of the infrared spectrogram + w2 * (1-main resin number-average molecular weight deviation ratio). The method provided by the invention can rapidly and accurately evaluate the quality stability of the printing ink for the cigarette paper.

The invention relates to the technical field of secondary battery detection, and provides a secondary battery in-situ detection device and method.The secondary battery in-situ detection device comprises an in-situ battery, a precise three-dimensional moving platform, a Fourier transform microscopic infrared spectrometer and an electrochemical workstation, and the in-situ battery comprises an upper cover, an optical window, a middle supporting body, a working electrode and other components; micro-area positioning is realized through the three-dimensional mobile platform, the synchronization system guarantees time sequence synchronization of spectrum and electrochemical data, a mercury-cadmium-tellurium detector of the spectrometer captures weak infrared signals, in-situ, dynamic and micro-area detection of interface reaction of the secondary battery is finally realized, and the detection accuracy and reliability are effectively improved.

The invention relates to a novel second-order nonlinear optical crystal-potassium cadmium germanate (K4Cd3Ge4O13), and belongs to the field of optical crystal materials. The crystal is prepared by adopting a high-temperature solid-phase method and a high-temperature solution method, belongs to an orthorhombic crystal system and a C2 space group, is accurate in measurement of cell parameters, and shows excellent nonlinear optical characteristics and a wide light transmission range. The ultraviolet cut-off edge of the crystal is 261 nm, the infrared spectrum permeability is not obviously reduced in the range of 4000-714 cm <-1 >, the transmission range of the crystal can effectively cover a key atmosphere transmission window of 3-5 microns, and the crystal has powder frequency doubling response equivalent to that of a KDP crystal and can be applied to an all-solid-state laser as a mid-infrared nonlinear optical crystal.

Described are embodiments of a multi-layer giga-pixel plenoptic camera that enable three-dimensional (3D) light-field imaging, high resolution and large field-of-view. In embodiments, the camera includes a radiation conversion array layer, an optics array layer, a complementary metal-oxide-semiconductor (CMOS) image sensor array layer, and a memory layer. Depending on the embodiment, the sequence of the radiation conversion array layer and the optics array layer may be reversed, and / or additional isolation layers may be provided between some of the layers. Applications can span the visible light spectrum, and can include ultraviolet (UV) and infrared (IR) spectra. In an embodiment, applications can span x-ray spectra and gamma ray spectra. Radiation converters in the radiation conversion array layer can be filters or scintillation converters. Optics in the optics array layer can be lenses or pinholes and / or coded apertures.

The invention relates to the technical field of gas leakage monitoring and tracing, and particularly discloses a gas leakage monitoring and tracing method and system based on multi-source data fusion. The method comprises the following steps: acquiring multi-source data through a sensor group on a mobile platform, wherein the sensor group at least comprises a Fourier infrared spectrometer, a visible light camera, an inertial measurement unit and a GPS receiver; based on an image sequence acquired by a visible light camera, constructing an ORB-SLAM3 algorithm by utilizing visual synchronous localization and a map which are subjected to static semantic constraint optimization, and estimating the pose of the mobile platform in real time; fusing the pose of the mobile platform, the data of the inertial measurement unit and the data of the GPS receiver with a pre-constructed three-dimensional building panorama, and calculating the real-time geographic coordinates of the observation target; and based on the data of the Fourier infrared spectrometer and the real-time geographic coordinates of the observation target, determining a gas leakage position and generating traceability information.

This invention provides a far-infrared spectrometer and a far-infrared spectroscopic method that can accurately measure the absorption spectrum derived from a sample. [Solution] In a far-infrared spectrometer 100 comprising a detector 225 that detects light obtained by irradiating a sample with far-infrared light, and a signal processing unit 230 that calculates the absorption spectrum of the sample from the signal from the detector, a first spectrum detected by the detector is obtained when the wavelength of the far-infrared light is changed and irradiated into the measurement optical path with the sample not on the measurement optical path, and a second spectrum detected by the detector is obtained when the wavelength of the far-infrared light is changed and irradiated into the measurement optical path with the sample on the measurement optical path. Then, the difference between the spectral signals is calculated at frequency intervals determined according to the absorption peak due to water vapor, and the frequency of the absorption peak due to water vapor is selected according to a comparison of the difference with a threshold. Based on the selected frequency, data removal is performed on the spectral signal.

The invention relates to an HHOF-TGU307 enhanced acrylic acid adhesive as well as a preparation method and application thereof, and belongs to the technical field of macromolecular functional materials. Aiming at the problem that the existing acrylic acid adhesive is difficult to meet the high-performance requirement in the aspects of bonding strength and mechanical property, and particularly the defects of insufficient bonding strength, easy aging, interface failure and the like in the emerging application fields of new energy and the like, HOF-TGU307 (hydrogen bond organic framework) is introduced into an adhesive system; the cohesive force and the adhesion capacity with a base material are obviously improved. The HOF-TGU307 material is a novel crystalline organic porous material with high specific surface area, high crystallinity and adjustable aperture, the HOF-TGU307 material shows unique solution processability and easy regeneration due to reversibility and flexibility of hydrogen bonds, and the HOF-TGU307 material has good biocompatibility and low cytotoxicity due to the metal-free characteristic; the characteristics enable the HOF to become a new platform of functional materials. The adhesive is formed by polymerization of two acrylic monomers in an ethanol solution through ultraviolet initiation, the process is simple and environment-friendly, and the obtained product has good storage and transportation stability. Performance tests show that the bonding strength of the adhesive on a PMMA (polymethyl methacrylate) base material can reach 1.36 MPa, and Fourier infrared spectroscopy and scanning electron microscope analysis verify good compatibility and dispersion state between HOF-TGU307 crystals and a polymer matrix. The adhesive provided by the invention has wide application prospects in the fields of structural bonding, photoelectric materials, automobiles, new energy and the like.

The utility model provides a kind of SF6 / N2 mixed gas intelligent on-line monitoring device, it is related to gas monitoring technical field, including processing box, infrared spectrum sensor is fixedly installed in the inside one side of processing box, information processing module for processing information is fixedly installed in the inside one side of processing box, ultrasonic sensor is fixedly installed in the inside one side of processing box, pressure temperature sensor is fixedly installed in the inside one side of processing box, the top surface of processing box is fixedly installed with several alarm lamps, filter screen one, driving motor, cam, connecting roller, gyro wheel, gyro wheel, mounting rod, spring and filter screen one are cooperated with each other by being set, it can prevent dust from contacting multiple sensors such as pressure temperature sensor, ultrasonic sensor and infrared spectrum sensor while preventing air intake fluctuation from affecting mixed gas detection, reach the filtering effect to dust, improve the monitoring effect to SF / N mixed gas.

This invention relates to the field of intelligent control technology for tea processing, specifically to an adaptive optimization control method and system for tea processing parameters. The method involves performing near-infrared spectral scanning and hyperspectral imaging on incoming fresh leaves to obtain feature vectors; using a reaction kinetic model combining catechin enzymatic oxidation, chlorophyll demagnesiation, and amino acid thermal degradation with a data-driven residual correction network to calculate the state vectors of internal components; and having a near-end strategy optimization agent output the combined adjustment values ​​for the withering hot air temperature, rolling speed, and drying air inlet temperature, which are then sent to the processing equipment controller for execution. Through cross-process quality state transmission, the withering, rolling, and drying processes are linked for coordinated control. This invention dynamically tracks the state of internal components at the chemical reaction level, solving the technical problem of large quality fluctuations under heterogeneous fresh leaf conditions in existing lookup-based process parameter schemes.

This invention relates to the field of infrared spectroscopy detection technology, specifically an in-situ online infrared spectroscopy detection system and method. The system includes: a biomimetic dynamic response material module, used to enhance probe contact pressure through temperature-responsive deformation and specifically capture target molecules through a molecularly imprinted cavity; a quantum-enhanced detection module, composed of a quantum dot infrared enhancement array and an optical phased array spectral scanning module, used to complete spectral acquisition of the molecularly imprinted cavity capture region; an AI-driven closed-loop control module, used to predict reaction paths in real time, optimize temperature / pressure / flow rate parameters, and trigger millisecond-level emergency quenching in case of anomalies; and a self-powered wireless sensor network, used to collect vibrational energy and be self-powered by a supercapacitor, combined with terahertz wireless communication for data transmission. This invention solves the three major bottlenecks of traditional technologies—low sensitivity, high latency, and the need for perforated wiring—through a biomimetic interface quantum-enhanced detection → cableless power transmission → AI millisecond-level decision-making closed loop.

The utility model relates to a tabletting device for infrared spectroscopy, which belongs to the technical field of tabletting equipment and comprises a tabletting machine main body, a mounting plate is fixedly mounted at the upper end of the tabletting machine main body, a lead screw with a crank at one end is in threaded connection with the middle position of one end of the mounting plate, and a workbench for placing a tabletting die is fixedly mounted on the tabletting machine main body. Square grooves are formed in the two sides of the upper end of the workbench, movable arc-shaped limiting plates are installed in the square grooves through driving assemblies, a cleaning assembly used for cleaning the workbench is installed at one end of the installing plate, one end of the cleaning assembly is connected with the arc-shaped limiting plates, and an integrated control panel is fixedly installed at one end of the tablet press body. By simultaneously and oppositely moving the arc-shaped limiting plates, the tabletting die is automatically positioned, manual positioning by workers is not needed, the tabletting die is convenient and fast to use, the tabletting effect is improved, impurities such as powder attached to the surface of the workbench can be automatically cleaned through the dust collection holes, time and labor are saved, and the burden of the workers is relieved.

The invention aims to establish a synergistic catalytic system in which catalysts cannot coexist. The amide chiral catalyst is prepared through a series of synthesis. The hollow mesoporous COF-carboxylic acid / chiral amide multi-catalyst is prepared by a hydrothermal method. The morphology and the structure of the material are characterized by using a scanning electron microscope, a transmission electron microscope, an X-ray diffractometer, a specific surface instrument, an infrared spectrometer and the like, an asymmetric tandem-addition reaction is catalyzed to construct a chiral acetal compound, high performance liquid chromatography analysis is combined, and multiple catalysts are continuously recycled. Results show that the hollow mesoporous COF-carboxylic acid / chiral amide multi-catalyst not only has good morphology, excellent specific surface area and high porosity, but also enables contradictory catalysts to coexist for synergistic catalysis. The catalyst can be used for rapidly catalyzing an asymmetric tandem-addition reaction, high selectivity of ee = 99% and high yield of 98% are achieved, and the catalyst can be repeatedly used for 10 times. The method is green, environment-friendly, low in cost and suitable for concerted catalysis of catalysts which cannot coexist.

To achieve high spectral performance [Solution] The infrared spectrometer according to the embodiment comprises a diffraction grating structure, a metal thin film, and a current detection unit. The diffraction grating structure includes continuous convex and concave portions. A metal thin film is formed on the surface of the diffraction grating structure so that surface plasmon resonance can be excited when infrared light is incident at a specific incident angle. The current detection unit detects the current generated by the surface plasmon resonance. The pitch of the uneven structure in the diffraction grating structure is 1.52 times or more and 2.17 times or less the width of the convex portion.

This invention relates to the field of coated oil materials technology, and discloses an infrared screening method, product, and preparation method for functionalized and environmentally friendly coated oils. The method includes: selecting soybean oil, palm oil, or waste vegetable oil, pre-treating it, and then using infrared spectroscopy to analyze the fingerprint region (1500–900 cm⁻¹). ‑1 Oils containing carboxyl groups were selected as base oils. Acrylic acid was used as a monomer for graft modification, and the grafting rate was calculated using infrared spectroscopy. Modification was considered successful when the grafting rate was ≥15%. The modified oil was then compounded with a chitosan-silane coupling agent, and compatibility was verified using infrared spectroscopy. The optimal ratio was determined through oil film weight loss experiments. This invention utilizes infrared spectroscopy to achieve rapid oil screening and modification effect evaluation, improving screening efficiency by over 80% and accuracy by ≥95%. The prepared composite encapsulated oil exhibits a biodegradability rate ≥90%, a sustained-release period extended by over 30%, and an oil film weight loss rate ≤3% after 7 days, making it suitable for applications in medicine, agriculture, and food.

This invention discloses a two-dimensional infrared spectroscopy system and its detection method that combines acid-base step and pulsed heating. The system includes a femtosecond laser, an optical parametric amplifier and difference frequency generator, a frequency divider, an electronic time delay generator, a nanosecond laser, a detachable optical parametric oscillator providing 355nm light pulses, an optical parametric oscillator providing 2020nm light pulses, a monochromator and a mercury cadmium telluride array detector, an integrator and data acquisition card, a computer, a chopper, a time-resolved pulse generation chamber, and a sample chamber. This invention retains the original pulsed heating trigger mode by using a nanosecond light source with a detachable optical parametric oscillator providing 355nm light pulses. It achieves convenient switching between the acid-base step and pulsed heating modes through a dichroic mirror and a reversible reflector. Before and after switching, the propagation direction of the nanosecond pulses is completely consistent, and the relative time delay is corrected by the electronic time delay device.

The invention discloses a method for generating a concentration contour map in real time based on infrared alarm information. Comprising the following steps: S1, determining boundary coordinates of an infrared spectrometer calibration detection area, and collecting alarm information in real time; s2, generating a concentration distribution matrix base map; s3, obtaining a reduced matrix base map; s4, converting the reduced matrix base map into a concentration diffusion map with a gradual change effect; s5, converting the color distribution of the concentration diffusion diagram into a numerical field, extracting a contour line by using a Marching Square algorithm, and drawing the contour line; and S6, recovering the size of the contour map through a cubic spline interpolation algorithm, and uploading the real-time monitoring image of which the contour map is overlapped and displayed in the detection area to a client for display. The method has the beneficial effect that the distribution condition of the alarm substance concentration in the monitoring area of the infrared spectrometer can be visually displayed.

The embodiment of the utility model provides a Fourier infrared spectrometer device, and relates to the technical field of instrument engineering, and the Fourier infrared spectrometer device comprises a rotating assembly which comprises a rotating disc and a baffle plate, the baffle plate is installed on the rotating disc, the rotating axis of the rotating disc coincides with the rotating axis of the baffle plate, the baffle plate is provided with a through hole, and the through hole is communicated with the rotating disc; the through hole is located in the rotating axis of the rotating disc. The fixing structure is used for fixing a workpiece on the baffle plate; the light generator is arranged on one side of the baffle; and the light receiver is arranged on the other side of the baffle plate, and the light receiver is used for receiving the light rays emitted by the light generator. In the embodiment of the invention, the incident light test of different angles can be carried out on the workpiece so as to obtain the imaging effect of the incident light of different angles.

The application discloses a device for detecting epoxy resin in insulating oil, which comprises a device platform, a detection box, a light shield, support columns, a shaking structure, a closing structure and a reciprocating structure. Four groups of support columns are arranged on the lower surface of the device platform, and the upper end of each group of support columns is fixedly connected to the lower surface of the device platform. The upper surface of the device platform is provided with the detection box. The application also discloses a corresponding method. When the crankshaft rotates, the fixed ring rotates in the middle of the crankshaft, the crankshaft pushes the guide rod, the guide rod pushes the chassis, the sliding strip on the lower surface of the chassis and the guide rail are used in cooperation, the chassis drives the liquid storage tank to reciprocate, the insulating oil and the epoxy resin are uniformly mixed, the epoxy resin is effectively prevented from being deposited in the insulating oil, the mixing of the epoxy resin and the insulating oil is not uniform, a large error occurs in the detection of the infrared spectrometer, and the detection efficiency and accuracy are improved.

The invention pertains to a device for determination of a catalyst state in a chemical reactor and to a method for detecting a catalyst state under in situ reaction conditions. A reactor is provided with a solid catalyst provided in a reactor chamber. A fluid sample is taken from the reactor chamber and is transferred to a sample chamber. The temperature at the extraction site of the sample in the reactor chamber is determined and the temperature of the sample chamber is adjusted to the same temperature. A small amount of the catalyst provided in reactor chamber is provided in sample chamber and is contacted with the sample flow. Spectroscopic information is then obtained on the catalyst provided in sample cell, e.g. by an IR spectrometer.

The present invention relates to an optical sensor window module (10) for use in a vehicle glazing (100), wherein the optical sensor window module (10) is to be arranged in a traversing hole delimited by a side wall of the vehicle glazing (100), wherein the optical sensor window module (10) comprises a frame-like holder part (4) and an insert (2) made of material having a crystalline structure, which is at least transparent in a sensor-adapted range of wavelengths, preferably in a range of wavelengths A in the infrared spectrum above 3 µm, and wherein the frame-like holder part (4) comprises at least one heating element (5) connectable to a power supply. The invention also relates to a vehicle glazing (100) comprising such optical sensor window module (10).

The present invention relates to a hand-held imaging system, device and method, composed of optical, electronic and mechanical modules, of specific ergonomic and functional design, configured to obtain images and videos in the visible and infrared spectrum of the anterior and posterior segment of the human eye, mainly non-mydriatic retinal exams controlled by an external mobile device, such as a smartphone, tablet or embedded hardware, for clinical purposes.

The invention belongs to the technical field of material analysis, and particularly discloses a sample detection device based on thermogravimetric-infrared combined analysis, which comprises a thermogravimetric analyzer for monitoring the mass change of a to-be-detected sample heated in a carrier gas atmosphere; the infrared spectrometer is used for carrying out structural component analysis on escape gas generated by heating the sample; the sleeve main body is arranged outside a heating furnace in the thermogravimetric analyzer in a sleeving manner, an annular channel is formed between the sleeve main body and the heating furnace, and carrier gas can flow along the annular channel so as to form an air curtain wrapping the heating furnace; the sleeve main body is configured to be matched with the heating furnaces with different outer diameters for use; and the gas conveying pipeline is communicated with the interior of the sleeve main body and a gas pool of the infrared spectrometer so as to convey mixed gas of carrier gas and escaping gas generated by heating a sample. Through the structural design, the infrared spectrum detection signal intensity can be effectively enhanced, and the sample detection accuracy is improved.