32 results about "Tissue optics" patented technology

A method for quality inspection of an etching paste material based on a spectral response difference, including: identifying a position of density mutation boundary through spectral collection and density gradient analysis. Applying a specific frequency beam to obtain the resonance response parameter, generating stress field reconstruction data. Performing a reverse optical tracking to obtain a defect formation path, generating degradation prediction data. Establishing a self-organizing optical monitoring grid, to form a hierarchical spectral fingerprint library. Constructing a multi-point linked defect blocking network, to form an interconnected optical energy field. Monitoring a cooperative response to obtain network stability data, Identifying abnormal position coordinates based on a material quality grade and the network stability data, obtaining the abnormal position coordinates. Performing a phase adjustment to obtain a phase difference spectral set, conducting a phase comparison marking on the abnormal position coordinates, completing the quality inspection of the etching paste material.

The invention discloses a method for acquiring grain orientation characteristics based on optical and height characteristics of an alloy etching structure. The method comprises the following steps: (1) acquiring grain orientation distribution and grain size of an alloy surface structure; (2) obtaining an etching structure on the surface of the alloy; (3) acquiring optical characteristics of the etched structure on the surface of the alloy; (4) obtaining height characteristics of an alloy surface etching structure; and (5) constructing a correlation model of structure grain orientation characteristics based on alloy surface optics and height characteristics, and realizing prediction. Aiming at the test of the alloy grain orientation, the optical and height characteristics of the alloy surface etching structure are synthesized, the measurement of the centimeter-level large sample size or full-area grain orientation of the alloy is easy to realize, and compared with the existing measurement aspect, the method is more efficient and convenient; and more comprehensive and reliable tissue information can be provided for alloy optimization and new material development, and the method has important significance for high-throughput characterization and intelligent manufacturing.

The invention relates to an OCT (Optical Coherence Tomography) navigation uterine cavity adhesion and dissection postoperative residual adhesion prediction method, which comprises the following steps of: acquiring an interference signal of an intraoperative uterine cavity wall area by utilizing OCT equipment, and identifying an adhesion fiber microstructure which is not completely broken so as to judge the existence of an optically invisible residual adhesion microbridge; applying low-frequency bioelectrical stimulation to the wounded area of the uterine cavity during the operation, and marking the wounded area as a tissue repair electrical activity silent area if no blood flow micro-reaction is continuously detected; oCT micro-deformation sequence analysis is carried out on the region after intraoperative dissection is completed, mutation breakpoints of tissue elastic distribution are identified, and the potential risk that traction after-tack occurs in the region is predicted; detecting whether a metabolic oxidation reaction residual zone exists in the operation area or not so as to judge local tissue repair activity decline and re-adhesion tendency; local micro-intervention stimulation is applied to the tissue area judged to be high in risk, OCT imaging is carried out again to detect the reversibility of tissue optical response, and if an image is still fractured and red shift is enhanced, it is judged that the area is the postoperative irreversible adhesion residual area.

The invention relates to a hypoperfusion oxyhemoglobin saturation detection method based on dynamic light compensation, which comprises the following steps of: constructing a combined characteristic relation based on multi-wavelength reflection intensity and fluctuation amplitude, and dynamically judging the optical sparseness of tissues, namely optical characterization of erythrocyte density in the tissues; reversely deducing the current perfusion degree through the morphological characteristics of the reflection waveform; establishing a perfusion optical index; analyzing the dynamic change trend of light reflection in a past period of time by adopting a time sequence modeling mode; an LED driving strategy is dynamically adjusted, and a light supplementing behavior similar to a physiological rhythm is formed in a step-by-step climbing mode, a pulse stimulation mode and a period maintaining mode; each light supplementing action is regarded as physiological stimulation; dynamic form similarity discrimination is introduced, whether tissue response is really caused by light supplement each time is quantified, and real physiological fluctuation and noise disturbance are distinguished; for low-response light supplement, the light supplement intensity is reduced in a feedback manner; on the contrary, key deformation features are extracted from high-response light supplement for signal reconstruction, and the signal recognition capability in the low-perfusion environment can be enhanced.

The invention provides a spectral response difference-based etching paste material quality detection method and system. The method comprises the following steps of: decomposing and identifying an internal density abrupt change boundary position of a material through multiband spectral chromatography; applying a light beam with a specific frequency to a sudden change boundary to perform resonance excitation to reconstruct stress field distribution, determining a stress concentration point, performing reverse optical tracking to form a defect path, and establishing a self-organizing optical monitoring grid; performing density self-adaptive adjustment on the grids, and forming a graded spectrum fingerprint database through differential spectrum excitation to generate a material state boundary recognition standard; phase change critical point detection is carried out based on an identification standard, and a pulse light beam is applied to excite surface deformation to construct a multi-point linkage defect blocking network; and performing defect analysis on the network to form an interconnected optical energy field, monitoring the energy field to determine an abnormal position, and performing phase comparison marking through a phase difference spectrum group to complete quality detection of the etching paste material, so that accurate identification and intelligent quality classification of internal defects of the material are realized.

A portable optical spectroscopy system may provide noninvasive imaging of human tissue. The system may comprise a multi-wavelength near-infrared emitter source including at least one multi-chip light source configured to sequentially emit light at multiple wavelengths. A local controller may be configured to control a light emission sequence at two or more wavelengths. A sensor may be aligned in reflectance geometry with the emitter sources and configured to detect diffusely reflected near infrared light from biological tissue. A remote processor may be configured to reconstruct two-dimensional images of tissue optical properties in real time. Sequential NIR illumination from at least one source may be aligned with the sensor detector. The multi-wavelength near-infrared emitter source may comprise wavelengths selected from 670 nm, 810 nm, and 950 nm corresponding to absorption characteristics of deoxyhemoglobin, oxyhemoglobin, water, and fat. The system may generate cross-sectional images displaying spatial distribution of tissue constituents.

Disclosed is a surgical device for electrocautery. The device includes: at least one energy transmission unit configured to transmit electric energy to a target tissue to cauterize the target tissue; an optical unit configured to irradiate light of a predetermined wavelength band to the target tissue and collect response light from the target tissue; and a control unit configured to determine tissue component information on the target tissue based on a measurement value for the response light and to control electric energy supplied to the target tissue through the energy transmission unit based on the tissue component information.

A non-invasive continuous blood glucose concentration (BGC) measurement method and apparatus based on optical coherence tomography angiography (OCTA) are provided. The method includes: performing continuous OCT scanning and imaging on a target tissue region; extracting, based on a depth attenuation characteristic of an OCT signal, a three-dimensional optical scattering coefficient of the target tissue region; generating a three-dimensional microvascular distribution of the target tissue region; accurately distinguishing a blood optical scattering coefficient (BOC) from a tissue optical scattering coefficient (TOC) based on the three-dimensional scattering coefficient and the three-dimensional microvascular distribution; and measuring reference BGCs at two time points through an electrochemical method; and combining the reference BGCs with the BOC and the TOC respectively, thereby achieving continuous measurement of a BGC and an interstitial fluid glucose concentration (IGC). The method and apparatus are based on OCTA to achieve accurate BGC measurement while simultaneously enabling IGC measurement.

A portable and cost-effective programmable scanning diffuse speckle contrast imaging (PS-DSCI) technique enables noncontact, fast and high-density imaging of deep tissue blood flow, blood oxygenation, and tissue optical properties. PS-DSCI incorporates a digital micromirror device (DMD) for programmable fast scanning of near-infrared lights (e.g., line shape scanning) at different wavelengths over a large region of interest (ROI). A high-resolution 2D camera captures intensity images at each scanning source position. Novel image processing algorithms are created to define the pixel / detection areas at varied distances from the illumination center for capturing diffused photons from the tissue at varied depths. Spatial laser speckle contrasts are calculated in the defined detector regions and then converted to blood flow images at different depths. Line-shape scanning enables high temporal resolution to detect low-frequency oscillations (<0.1 Hz) across different brain regions, thus allowing for the reconstruction of brain functional connectivity maps.

The invention discloses a traditional Chinese medicine tongue picture multispectral intelligent diagnosis system, and relates to the technical field of computer vision. Comprising a data acquisition and preprocessing interface, a self-adaptive spectrum super-resolution reconstruction module, a biological tissue optical inversion module, a multi-dimensional feature fusion analysis module, a traditional Chinese medicine syndrome deduction decision module and a result interpretation and visual interaction module, the system is deployed on a cloud server or a high-performance edge computing terminal, and is connected with a multispectral imaging module through a USB, GigE or wireless mode so as to access a multispectral acquisition device, so that integrated operation of multispectral acquisition and system diagnosis is realized. According to the invention, through introduction of the multispectral imaging technology, rich spectral information far beyond a common visible light image can be obtained from the tongue body, a data basis is provided for subsequent inversion of deep physiological and biochemical indexes, and the problem that traditional tongue diagnosis cannot deeply explore the microscopic physiological state of the tongue body is solved.

The present application relates to the field of medical devices, in particular to an intelligent intraocular lens implant navigation system and method with adaptive optical calibration, comprising: a microscope module for collecting intraocular real-time image data; an adaptive optical system module connected with the microscope module for real-time evaluation of intraocular tissue optical aberration distribution and correction; a three-dimensional deep learning motion compensation module for predicting eye movement and compensating for micro-motion interference; a registration algorithm module for establishing spatial registration between OCT and intraocular imaging systems; an augmented reality projection module for superimposing registration guide lines on surgical microscope imaging; an intelligent intraocular imaging system for identifying intraocular tissue structure and instrument position, through multi-modal fusion perception, deep learning intelligent analysis, adaptive optical calibration and augmented reality guidance, precise implantation of intraocular lenses is achieved, and practical application shows that the lens implantation position accuracy can be improved to ±0.1mm.

The invention relates to the technical field of portrait acquisition and comparison, and discloses a portrait acquisition and comparison method and system for frontier inspection, and the method comprises the steps: obtaining an original intensity image in a preset polarization direction, and obtaining an original intensity image based on a Stokes vector principle and a two-color reflection model; separating the collected image into a specular reflection component representing surface texture and a diffuse reflection component representing subcutaneous tissue characteristics; spatial frequency domain energy distribution of the two components is calculated, Boltzmann distribution is used for weighting and determining an overlapping characteristic value of a frequency domain of a diffusion mirror surface, and a light scattering scale parameter of the current skin is inversed according to the overlapping characteristic value; constructing a tissue optical characteristic filter, modulating the diffusion component in a frequency domain so as to map the diffusion component to a preset standard light scattering scale, and combining the mirror component subjected to energy whitening equalization to synthesize a normalized face image; and generating a binary final verification result by calculating the feature vector cosine similarity of the normalized image and the certificate reference image and combining an abnormal deviation penalty term.

The present application relates to a low perfusion blood oxygen saturation detection method based on dynamic light compensation, a combined feature relationship based on multi-wavelength reflection intensity and fluctuation amplitude is constructed, the optical sparsity of tissue, that is, the optical representation of the density of red blood cells in the tissue, is dynamically judged; the current perfusion degree is deduced through the morphological characteristics of the reflection waveform; a perfusion optical index is established; the time series modeling method is used to analyze the change trend of the light reflection dynamics in the past period of time; the LED driving strategy is dynamically adjusted to form a light compensation behavior similar to physiological rhythm in three modes of step-by-step climbing, pulse stimulation and cycle maintenance; each light compensation action is regarded as a physiological stimulation; the dynamic morphological similarity discrimination is introduced to quantify whether each light compensation truly causes tissue response, and to distinguish real physiological fluctuations from noise disturbances; for low-response light compensation, the light compensation intensity is feedbackly reduced; otherwise, for high-response light compensation, the key deformation characteristics are extracted for signal reconstruction, which can enhance the signal recognition ability in a low perfusion environment.

The invention discloses a light control method and system for photodynamic therapy, and belongs to the technical field of medical equipment control. The method comprises the steps of setting initial power of an excitation light source and starting treatment; collecting a total fluorescence emission spectrum and a diffuse reflection spectrum of the treatment area in real time; based on LED driving current and junction temperature monitored in real time, calling a dynamic normalized spectrum decoupling model, and accurately separating fluorescence intensity of a photosensitizer and a light product from total fluorescence; meanwhile, tissue absorption and scattering coefficients are inversed in real time based on a diffuse reflection spectrum; and taking the separated fluorescence intensity, the inverted tissue optical parameters, the real-time temperature and the oxyhemoglobin saturation as state input, generating a current optimal power adjustment instruction through a pre-trained reinforcement learning agent, and coupling a heat-light-oxygen cooperative constraint strategy to dynamically adjust the output power of an excitation light source. According to the invention, through deep fusion and intelligent decision of multi-physical field information, accurate and adaptive closed-loop control of light in the photodynamic therapy process is realized.

This invention relates to a method for statistical gating of multiple scattering components and extraction of tissue optical parameters using frequency-domain OCT. The method includes: performing multiple consecutive samplings at a single sampling location within an imaging region using frequency-domain OCT; constructing a matrix using the sampled k-space data and calculating its covariance matrix as a random matrix description; modeling this description as a low-rank perturbation of a Wishart random matrix; statistically gating the ballistic component and multiple scattering components based on the statistical characteristics of the low-rank perturbation of the Wishart random matrix, reconstructing the ballistic signal matrix and the multiple scattering component matrix respectively; and calculating the tissue absorption coefficient and tissue anisotropy parameters using inverse Fourier transform and the extended Huygens-Fresnel formula, based on the ballistic component information in the ballistic signal matrix and the multiple scattering component information in the multiple scattering component matrix. Compared with existing technologies, this invention can extract multiple scattering components in frequency-domain OCT and obtain the tissue absorption coefficient and tissue anisotropy parameters.

The invention discloses a skin erythema optical phantom and a preparation method thereof, and relates to the technical field of biomedical optical technology and skin erythema detection. The skin erythema optical phantom comprises the following components: a red dye, a black dye, a yellow dye, a scattering medium, a solidification medium and a preservative. The difference between the skin erythema optical phantom prepared by the invention and the tissue optical parameters (such as mu a and mu's) of human skin is lt; 5%; the diffuse reflection spectrum contact ratio gt with human skin erythema at the wave band of 500-600nm; 90%; the differences with L *, a * and b * values of human skin erythema in the Lab color space are all lt; and 10%. The skin erythema optical phantom can be used as a reference standard for calibration of erythema detection equipment and comparison calibration of erythema indexes.

The invention discloses an inflammatory disease detection method for monitoring hypoxia characteristics of an organ-like chip disease model based on an endoscope, which is applied to screening and prediction of inflammatory diseases and aims to solve the problem that related disease diagnosis indexes for reflecting biochemical parameters under the endoscope and used for screening and prediction of early inflammatory diseases are lacked in the prior art. The method comprises the following steps: firstly, constructing an in-vitro organ-like chip model of inflammatory diseases based on an organ-like culture technology and a microfluidic regulation system, and simulating an in-vivo tissue microenvironment and hypoxia heterogeneity; secondly, on the basis of an endoscope imaging system, full-life-cycle, real-time, dynamic, label-free and low-damage hypoxia characteristic monitoring is carried out on the organ-like chip disease model; then, fusing cross-scale multi-source information such as biological image morphological characteristics, tissue optical hypoxia characteristics and cell morphology and pathological characteristics of tissue pathological detection to form a comprehensive data set, and constructing a correlation model between the hypoxia characteristics and disease occurrence, development and outcome; and finally, based on the established correlation model, training a comprehensive data set, and developing an intelligent endoscopic detection algorithm for inflammatory diseases based on hypoxia feature monitoring of an organ-like chip disease model.

A method for quality inspection of an etching paste material based on a spectral response difference, including: identifying a position of density mutation boundary through spectral collection and density gradient analysis. Applying a specific frequency beam to obtain the resonance response parameter, generating stress field reconstruction data. Performing a reverse optical tracking to obtain a defect formation path, generating degradation prediction data. Establishing a self-organizing optical monitoring grid, to form a hierarchical spectral fingerprint library. Constructing a multi-point linked defect blocking network, to form an interconnected optical energy field. Monitoring a cooperative response to obtain network stability data, Identifying abnormal position coordinates based on a material quality grade and the network stability data, obtaining the abnormal position coordinates. Performing a phase adjustment to obtain a phase difference spectral set, conducting a phase comparison marking on the abnormal position coordinates, completing the quality inspection of the etching paste material.

The invention discloses a blood pressure and blood fat remote real-time monitoring system and device based on edge calculation, and relates to the technical field of medical health monitoring. The information acquisition and processing module is used for acquiring photon dynamic observation data of subcutaneous tissues of a user through a time domain resolution multispectral photon meter; and on the edge side, on the basis of a parameterized general biological tissue optical model and a biological-physical reverse solver, a user personal health digital twinborn model is generated through a reverse optimization process, and real-time physiological parameters of the user are solved. According to the method, the time domain resolution multispectral photon meter is adopted to collect multidimensional photon dynamic observation data, and the biological-physical reverse solver is utilized to suppress noise through model comparison, so that motion artifacts are effectively resisted, and the accuracy of the data is improved; by executing the first reverse optimization process, the personal health digital twinborn model is generated for each user, the influence of individual differences such as skin color and body weight on the monitoring precision is reduced, and the authenticity of the monitoring result is improved.

The invention discloses an output energy control method and system for an intense pulsed light therapeutic apparatus, and particularly relates to the technical field of medical beauty equipment, and the method comprises the steps: building a tissue optical characteristic baseline through multi-wavelength detection light, and carrying out the personalized setting of initial parameters; dynamic changes of tissue optical characteristics are monitored in real time in treatment, and thermal relaxation time is adaptively adjusted based on preorder pulse energy and a temperature change rate; energy adjustment factors are calculated according to optical parameter changes, and pulse energy density, interval and waveform parameters are intelligently optimized; a pulse sequence cooperative control model is established, and multiple safety protection is realized through thermal damage probability integration and spectral feature monitoring. The technical problems that traditional equipment is unstable in energy output, depends on artificial experience and lacks real-time dynamic adjustment capacity are solved, precise and personalized energy control is achieved, and treatment safety and effectiveness are remarkably improved.

The invention belongs to the technical field of impact toughness evaluation, and particularly relates to a low alloy steel impact energy intelligent prediction method based on transfer learning, which comprises the following steps: step 1, selecting an impact energy prediction position of a material, step 2, shooting a microstructure optical microscope image of a target position, and carrying out an impact toughness test. The method comprises the following steps of: 1, acquiring image data and impact energy data, 3, sorting the image data and the impact energy data, and dividing training and testing data sets, 4, building a transfer learning model, and completing model parameter adjustment and optimization selection, and 5, inputting an optical microscope image at any position, and realizing impact energy prediction. According to the low alloy steel impact energy intelligent prediction method based on transfer learning, the impact energy value prediction result can be obtained only by shooting the light microscope image of the concerned position and inputting the light microscope image as the prediction model, the manpower time cost and possible statistical errors caused by manual statistics of microstructure parameters are avoided, and intelligent impact energy prediction is achieved.

A portable optical spectroscopy system may provide noninvasive imaging of human tissue. The system may comprise a multi-wavelength near-infrared emitter source including at least one multi-chip light source configured to sequentially emit light at multiple wavelengths. A local controller may be configured to control a light emission sequence at two or more wavelengths. A sensor may be aligned in reflectance geometry with the emitter sources and configured to detect diffusely reflected near infrared light from biological tissue. A remote processor may be configured to reconstruct two-dimensional images of tissue optical properties in real time. Sequential NIR illumination from at least one source may be aligned with the sensor detector. The multi-wavelength near-infrared emitter source may comprise wavelengths selected from 670 nm, 810 nm, and 950 nm corresponding to absorption characteristics of deoxyhemoglobin, oxyhemoglobin, water, and fat. The system may generate cross-sectional images displaying spatial distribution of tissue constituents.

1. The name of this design product: Portable tissue optical imaging diagnostic instrument. 2. Purpose of the product with this design: used for detecting the content and distribution of melanin in skin tissue and assisting in the diagnosis of vitiligo. 3. The key point of the design of this product lies in its shape. 4. The picture or photo that best illustrates the design points: Stereoscopic drawing 1.

A kind of laser physiotherapy equipment control method, equipment, program product and storage medium, it relates to medical instrument technical field.The method is by obtaining the working mode and tissue optical parameter of laser physiotherapy equipment, determines initial light beam parameter based on working mode, and determines initial output intensity and output limit condition according to tissue optical parameter, acquires feedback data, according to initial light beam parameter and initial output intensity, feedback data is fused and calculated, and target output parameter is obtained;According to target output parameter and feedback data, determine the light path adjustment amount, and adjust the laser light path according to the light path adjustment amount;According to the feedback data and target output parameter after adjustment, determine the target output power corresponding to each preset wavelength laser;According to target output parameter, target output power and output limit condition, determine output control parameter, and control laser physiotherapy equipment to output laser according to the output control parameter, improve the working effect of laser physiotherapy equipment.

This invention discloses a computationally adaptive aberration correction imaging method for deep tissue based on upconversion nanoparticle guide stars. A near-infrared fluorescence imaging system is constructed using rare-earth upconversion nanoparticles as guide stars. Fluorescence distortion images of deep tissue samples are acquired through near-infrared excitation, and imaging aberrations are parameterized based on Zernike polynomials. Aberration coefficients are reconstructed using a deep learning model incorporating physical prior constraints. Digital wavefront compensation is performed based on the reconstructed aberration information to achieve deep tissue aberration correction and obtain high-resolution imaging results. This invention eliminates the need for complex optical hardware such as wavefront sensors or deformable mirrors, and can stably achieve aberration estimation and compensation even in 360 μm deep tissue conditions. Compared with traditional aberration correction methods, the correction effect is improved by more than 30%, enabling rapid image correction and high-precision positioning. It solves the problems of weak guide star signals, low aberration correction efficiency, and high system cost in deep tissue imaging, and is applicable to deep tissue optical imaging in fields such as clinical diagnosis, biological cell observation, and drug development.

The application relates to a kind of heart tissue intraoperative imaging methods based on laser radar statistical gating, comprising: using laser radar single point continuous scanning heart region setting position, wherein, reflected light intensity changes periodically with heartbeat;Whether the imaging trigger condition is reached is judged according to the reflected light intensity, if it is judged that yes, scanning is carried out using laser radar to imaging area, and scanning data is acquired;According to scanning data, construct two-dimensional matrix, extract single scattering component and multiple scattering component from it using statistical gating mode, and calculate to obtain tissue optical parameter.Compared with prior art, the application uses laser radar to scan imaging, can meet the signal acquisition requirement of live heart imaging, and proposes statistical gating mechanism, can realize the statistical gating of multiple scattering component in laser radar signal, and calculate to obtain tissue optical parameter, is beneficial to timely and accurately obtain the physiological state and damage degree of live myocardial tissue.

The application discloses a blood pressure and blood lipid remote real-time monitoring system and device based on edge computing and relates to the technical field of medical health monitoring. The system comprises an information acquisition and processing module: a time-domain resolution multispectral photon counter is used to acquire photon dynamic observation data of subcutaneous tissue of a user; and on the edge side, a parameterized general biological tissue optical model and a biological-physical inverse solver are used to generate a user personal health digital twin model through an inverse optimization process and to solve real-time physiological parameters of the user. The application uses a time-domain resolution multispectral photon counter to acquire multi-dimensional photon dynamic observation data, uses a biological-physical inverse solver to suppress noise through model comparison, effectively resists motion artifacts, and improves the accuracy of data; by executing a first inverse optimization process, a personal health digital twin model is generated for each user, the influence of individual differences such as skin color and weight on the monitoring accuracy is reduced, and the authenticity of the monitoring result is improved.

The wearable frequency-domain near-infrared light muscle oxygen sensor comprises a high-frequency modulation laser light source driving circuit used for generating a modulation laser light source; the optical detection module is used for receiving the optical signal scattered by the muscular tissue and converting the optical signal into an electric signal; the signal demodulation and data processing module is used for demodulating and processing the electric signal and extracting tissue optical information; and the data transmission module is used for transmitting the processed data to an upper computer. According to the invention, the FD-NIRS detection capability of more than 40 channels is integrated in a compact portable device creatively, the size of the product is only about 140 mm * 80 mm * 80 mm, and the wearable performance is excellent. According to the compact design, power consumption and cost are reduced to the maximum extent while high spatial resolution is guaranteed, long-time wearing and real-time data acquisition can be achieved in scenes such as exercise training monitoring and rehabilitation evaluation, and user experience is improved.

A portable optical spectroscopy system may provide noninvasive imaging of human tissue. The system may comprise a multi-wavelength near-infrared emitter source including at least one multi-chip light source configured to sequentially emit light at multiple wavelengths. A local controller may be configured to control a light emission sequence at two or more wavelengths. A sensor may be aligned in reflectance geometry with the emitter sources and configured to detect diffusely reflected near infrared light from biological tissue. A remote processor may be configured to reconstruct two-dimensional images of tissue optical properties in real time. Sequential NIR illumination from at least one source may be aligned with the sensor detector. The multi-wavelength near-infrared emitter source may comprise wavelengths selected from 670 nm, 810 nm, and 950 nm corresponding to absorption characteristics of deoxyhemoglobin, oxyhemoglobin, water, and fat. The system may generate cross-sectional images displaying spatial distribution of tissue constituents.