21 results about "Optical tomography" patented technology

The present disclosure provides a biometric scanning system for generating an image of a user's vasculature. The biometric scanning system comprises a wrist-worn scanning device including NIR sensors for diffuse optical tomography, NIR LEDs, and an NIR camera configured to receive light emitted by the NIR LEDs after having passed through the user. The system processes vascular data collected by the NIR camera and / or the NIR sensors to generate a key corresponding to the user. In conjunction with access control systems, the biometric scanning system facilitates reliable user authentication without storing a root template of that user's vasculature.

The invention provides a high-flux large-volume optical tomography system and method, and the system comprises a spatial light modulator which is used for carrying out the wavefront modulation of an incident laser beam, and generating an illumination light beam; a scanning device for generating an illumination light sheet based on the illumination beam; the sCMOS camera is used for detecting signals; the sample table is used for bearing and driving a sample to move; the synchronous control module is configured to control the spatial light modulator to dynamically load a composite phase pattern, and the composite phase pattern is formed by superposition of a depth-of-field phase component used for generating an extended depth-of-field light beam, a blazed grating phase component used for concentrating energy to first-level light and a lens phase component used for controlling a light beam focus to perform axial scanning; the synchronous control module is further configured to synchronously control the refreshing of the composite phase pattern and the deflection angle of the scanning device so as to acquire a three-dimensional image view field block through pure optical scanning during the stationary period of the sample stage. According to the invention, the imaging flux is greatly improved.

Disclosed herein is an apparatus and method for optical tomography with extended imaging depth. The apparatus obtains a three-dimensional (3D) optical tomography image of a sample based on interference between reference beam and sample beam that is scattered from or through the sample after being irradiated by a light source, and may include a sample region optical unit for adjusting the depth of a focal plane in the sample while maintaining an optical path length constant by translating the sample by a predetermined length along the optical axis of light incidence for the sample.

The disclosure provides a breast dynamic optical tomography system based on fluorescence image guidance, comprising: a first lifting platform for adjusting the height of a light source module and a detection module; a second lifting platform for controlling the movement of a pressing plate; one side of the pressing plate is fixed on the second lifting platform, and the other side is used for pressing the tissue to be detected; the light source module generates detection light; the detection module samples the surface emission light of the detection light after passing through the tissue to be detected to obtain each wavelength emission light image; a host module processes the surface fluorescence image by using a fluorescence diffuse optical tomography method to obtain a segmentation image; the time sequence of the surface diffuse light image is demodulated to obtain the time sequence of the surface diffuse light image corresponding to each wavelength; and a diffuse optical tomography method is used to process the segmentation image and the time sequence of the surface diffuse light image corresponding to each wavelength to obtain the time sequence of the three-dimensional image of the absorption coefficient change corresponding to each wavelength.

Disclosed is an image segmentation device. The image segmentation device may include: a storage unit storing a segmentation model learned so as to segment at least one predetermined object; and at least one processor inputting input data into the segmentation model and segmenting at least one predetermined object in the input data, in which the segmentation model may include an encoder including at least one dimension reduction block reducing a dimension of the input data, a decoder including at least one dimension increase block increasing the dimension of output data output from the encoder by using data output from at least one dimension reduction block, and an auxiliary classification model receiving the output data and recognizing whether a specific object is included in the output data.

The invention discloses a laser energy field auxiliary suspension structure unsupported additive manufacturing system and method. The system comprises a forming machining unit, an energy field auxiliary unit and an online monitoring unit. The energy field auxiliary unit comprises a second laser device and a laser collimator, the second laser device is an energy field auxiliary preheating laser device, the paraxial position of the energy field auxiliary preheating laser device is arranged outside the powder bed fusion forming cabin, and an emergent light beam of the energy field auxiliary preheating laser device is used for locally preheating the powder bed in the printing process after being processed by the laser collimator; the online monitoring unit comprises an industrial camera, an optical tomography camera and a control and analysis unit; the industrial camera and the optical tomography camera are respectively used for collecting a sedimentary layer image and a molten pool light intensity signal in a printing process; and the control and analysis unit receives online monitoring data from the industrial camera and the optical tomography camera, and analyzes and processes images and signals. The paraxial energy field assists in preheating the laser, and controllability and forming quality of support-free forming are remarkably improved.

This application discloses a device and method for three-dimensional imaging of the composition and hardness of electromagnetic orbital deposits, including a detection host and a detection probe. The detection host triggers the laser and performs optical tomography (LIBS) data analysis outside the electromagnetic orbital chamber. It is equipped with a scanning path control system to achieve two-dimensional planar scanning of the deposited layer on the electromagnetic orbital surface. An automatic focusing control system not only scans the depth direction of the deposited layer on the electromagnetic orbital surface but also detects and corrects the levelness of the pulsed laser output end face of the detection probe relative to the area near the current scanning point on the electromagnetic orbital deposited layer surface, and automatically focuses the fiber optic output lens group in the detection probe relative to the bottom of the ablation pit at the current scanning point. Under the control of the detection host, the detection probe enters the electromagnetic orbital chamber to acquire optical tomography (LIBS) data in real time, in situ, non-destructively, and rapidly.

The invention relates to the technical field of air pollution control, and discloses an accurate ammonia spraying intelligent control system for an SCR (Selective Catalytic Reduction) denitration system, which comprises a flue gas multi-mode sensing module, a flue gas control module and a control module, the sensor health management module is in communication connection with the smoke multi-mode sensing module; the digital twin flow field prediction module is in communication connection with the flue gas multi-mode sensing module and the sensor health management module; the reinforcement learning intelligent decision-making module is in communication connection with the digital twin flow field prediction module; the system further comprises a DCS integration and execution mechanism used for receiving the precise ammonia spraying instruction and driving an execution mechanism in the SCR system. According to the invention, optical tomography and multi-point rapid simultaneous measurement data are integrated through the flue gas multi-modal sensing module, and data fusion and optimization reconstruction are carried out by using an iterative algorithm and a deep learning model in the flue gas flow field dynamic reconstruction and multi-modal fusion unit, so that a solid data basis is provided for subsequent accurate control.

This invention belongs to the field of agricultural image processing technology and discloses a sensor distribution optimization method, a plant stem diameter measurement method, and a device for optical tomography of plant stems. The optimization method mainly involves determining the optimal detection range, and then measuring the plant stem diameter within this range. The specific steps are: 1. Acquiring the background light signal without placing the plant; 2. Acquiring the light signal from the plant stem; 3. Constructing a projection data matrix, obtaining the column vector of the projection data matrix through the background light signal and the plant stem light signal; 4. Performing image reconstruction to obtain a cross-sectional image of the plant stem; 5. Filtering and thresholding the cross-sectional image, calculating the total gray area, and then calculating the equivalent diameter of the plant stem using the total gray area. This method not only improves the light coverage density and distribution uniformity of the measurement area but also enhances measurement accuracy.

A system for imaging a target embedded in a scattering media includes: one or more light sources that are pulsed lights at one or more wavelengths in a range of visible to near-infrared; a detector, including a photodetector array with a time-gating function, configured to collect a scattered light after a gate start time; and a processor configured to determine an image of the target based on the scattered light.

A method and system for determining a location of artefacts and / or inclusions in a gemstone, mineral or sample thereof, the method comprising the steps of: surface mapping a gemstone, mineral or sample thereof to determine surface geometry associated with at least a portion of a surface of the gemstone, mineral or sample thereof; sub-surface mapping the gemstone, mineral or sample thereof using an optical beam that is directed at the surface along an optical beam path, wherein the optical beam is generated by an optical source using an optical tomography process; determining a surface normal at the surface at an intersection point between the optical beam path and the determined surface geometry; determining relative positioning between the surface normal and the optical beam path; and determining the location of artefacts and / or inclusions in the gemstone, mineral or sample thereof based on the sub-surface mapping step and the determined relative positioning.

The present application relates to a genetic algorithm-based optical imaging system sensor optimization configuration method.The present application includes taking the uniformity coefficient of the sensor sensitivity distribution as the optimization target, taking the angle position of the sensor structure light-emitting and light-sensing elements as the optimization object, and obtaining the optimal structure of the optical tomography sensor applicable to the fan-shaped laser through the genetic algorithm.Then, the angles of the light-emitting elements and the light-sensing elements are set according to the optimal sensor structure parameters, so that the optimized sensor is obtained.Finally, the imaging optimization is realized through the imaging system.The present application is not dependent on any specific actual distribution, is applicable to the case without prior information, and has stronger universality.The genetic algorithm is used to realize the optimization of the sensor structure, and the calculation amount of designing an optimal configuration structure with the minimum uniformity coefficient is reduced.

The invention relates to the technical field of optical tomography, and provides a combustion flow field tomography reconstruction method based on temperature zone division and spectral line selection, and the method comprises the steps: selecting a plurality of absorption spectral lines for target molecules in a to-be-detected combustion flow field in an absorption spectral line range of a set wave band; based on a linear inversion algorithm, rebuilding absorption coefficient distribution of each absorption spectral line, and preliminarily rebuilding temperature distribution; constructing a candidate spectral line combination set based on the plurality of selected absorption spectral lines; evaluating the temperature measurement uncertainty of different spectral line combinations in the candidate spectral line combination set in different temperature ranges; dividing temperature intervals based on temperature distribution, selecting an optimal spectral line combination for grids corresponding to the temperature intervals based on temperature measurement uncertainty, and reconstructing temperature and concentration distribution of the combustion flow field based on absorption coefficient distribution of the optimal spectral line combination. The temperature measurement spectral line combination with the optimal anti-noise and anti-interference capability is selected according to different temperature zones of the combustion flow field, and global accurate and stable chromatographic calculation is achieved.

The application discloses a kind of high-efficiency optical sectioning microscopic fluorescence imaging system and method.It includes: multi-wavelength beam combining laser module and single-mode optical fiber, collimating lens, first mirror, light splitting module, first optical path, second optical path, speckle generation module, fast switching module, second mirror, beam expander, third mirror, focusing lens, fluorescence module, tube lens, camera, objective lens, motorized displacement stage, condenser, illumination source and the like composition.For the current HiLo microscopic imaging speckle homogenization complex, uniform illumination and speckle illumination high-speed switching difficult, low light energy utilization efficiency and other technical problems;The application obtains the 2 images required for imaging by fast switching module and camera linkage efficiently;Compact structure design, effective utilization of system incident excitation light.The optical sectioning microscopic fluorescence imaging system of the application can realize the optical tomography of target sample efficiently and conveniently, and well expands the practical application range of HiLo in high-speed imaging.

The invention relates to the technical field of medical robots, in particular to an automatic skin disease diagnosis and treatment robot system based on a depth camera. The system comprises a depth camera, a subcutaneous tissue optical characteristic reconstruction module, a multi-mode skin disease diagnosis model, a self-adaptive treatment planning module and a treatment execution module. The depth camera synchronously collects a depth image and a color image of the target skin area; the optical characteristic reconstruction module reconstructs an optical characteristic spectrum of the subcutaneous tissue through a diffusion optical tomography algorithm based on the depth information; the diagnosis model adopts a visual Transform architecture to fuse surface image features and deep optical features; the treatment planning module calculates three-dimensional distribution of treatment energy according to the optical characteristic spectrum; and the treatment execution module controls the treatment device to perform targeted treatment. According to the invention, deep tissue quantitative analysis and precise treatment of skin diseases are realized.

A method to develop one or more morphometric classifiers to identify a tumor mutation burden (TMB). The method provides a non-invasive method of characterizing TMB that is responsive to a tumor in its early stages of development and irrespective of the tumor size. The method allows targeting cancer therapy to the specific characteristics of the cancer that the patient may have, allowing more efficient cancer management with far fewer side effects.

The present invention provides an optical tomography apparatus, an optical tomography method, and a program that can determine the location of acquisition of a tomographic image from an image captured of the surface of a target for measurement. [Solution] The optical tomography apparatus splits the light output from the light source into measurement light and reference light, irradiates the measurement object 11 while scanning with the measurement light, and generates a tomographic image based on the interference signal generated by the combination of the reflected light from the measurement object 11 and the reference light. The optical tomography apparatus includes a first mirror that reflects the reflected light of the measurement light from the deep part of the measurement object 11 in a first direction to be combined with the reference light, and also causes the measurement light to scan the measurement object 11 by rotating with a first axis r1 as the pivot axis, and an imaging unit 205 that images the surface of the measurement object using object light, which is visible light emitted from the surface of the measurement object 11. The first mirror 202 is fixed in a direction in which the object light is reflected towards the imaging unit 205 when the imaging unit 205 is in the imaging state.

The present disclosure relates to the technical field of optical tomography, and provides a combustion flow field tomographic reconstruction method based on temperature region division and spectral line selection, comprising: selecting a plurality of absorption spectral lines for a target molecule in a to-be-measured combustion flow field within an absorption spectral line range of a set waveband; reconstructing an absorption coefficient distribution of each absorption spectral line and preliminarily reconstructing a temperature distribution based on a linear inversion algorithm; constructing a candidate spectral line combination set based on the selected plurality of absorption spectral lines; evaluating a temperature measurement uncertainty of different spectral line combinations in the candidate spectral line combination set in different temperature ranges; dividing a temperature interval based on the temperature distribution, selecting an optimal spectral line combination for a grid corresponding to each temperature interval based on the temperature measurement uncertainty, and reconstructing a temperature and concentration distribution of the combustion flow field based on an absorption coefficient distribution of the optimal spectral line combination. The optimal temperature measurement spectral line combination with anti-noise and anti-interference capability is selected for the combustion flow field in different temperature regions, and global accurate and stable tomographic calculation is realized.

The invention provides an optical tomography apparatus which splits light output by a light source into measurement light and reference light, scans and irradiates a measurement object with the measurement light, and generates a tomographic image on the basis of an interference signal generated by combining reflected light of the measurement light at the measurement object with the reference light. A first reflector which reflects the reflected light of the measurement light of the deep part of the measurement object to a first direction combined with the reference light, and enables the measurement light to scan the measurement object through rotation with a first axis as a rotation axis; and an imaging unit that images the surface of the measurement object using object light, which is visible light radiated from the surface of the measurement object, and when the imaging unit is in an imaging state, the first mirror is fixed in a direction in which the object light is reflected to the imaging unit.

The invention discloses a multi-source online monitoring and error compensation additive manufacturing geometric tomography method, geometric tomography is realized through a geometric tomography system, the system comprises a molten pool optical tomography device and a powder bed optical tomography online monitoring device, and the method comprises the following steps: S1, collecting a single frame of molten pool optical image frame by frame, a powder bed image after powder spreading is collected after powder spreading of the scraper; s2, perspective transformation correction is carried out on the whole-layer molten pool light image and the powder bed image after powder laying; s3, segmenting a deposition area in the corrected molten pool light image, and obtaining a binarization mask image of a surface layer warping area and a binarization mask image of a drum edge area; s4, obtaining a compensation deposition area mask image through compensation calculation; and S5, contour point cloud of each layer of compensation deposition area is obtained, and a three-dimensional point cloud model of the additive manufacturing structure morphology is generated. According to the invention, geometric feature tomography and three-dimensional visualization of a tiny feature structure and a geometric deviation structure in an online mode can be effectively realized.