1150 results about "Fluorescent imaging" patented technology

A federated distributed computational system enables secure oncological therapy optimization through multi-expert integration and advanced uncertainty quantification. The system implements a multi-expert integration framework that coordinates domain-specific knowledge through token-space communication for precision oncological treatment, while maintaining secure cross-institutional data exchange. The architecture coordinates multi-scale spatiotemporal synchronization across computational nodes, with each node containing local processing capabilities for fluorescence-guided imaging, uncertainty quantification, and expert knowledge integration. Through a distributed graph architecture, the system enables advanced fluorescence imaging with wavelength-specific targeting, multi-level uncertainty estimation combining epistemic and aleatoric approaches, and multi-scale tensor-based integration with adaptive dimensionality control. The system implements light cone search and planning for adaptive treatment strategy optimization, enabling medical institutions and research organizations to collaborate on complex oncological therapy projects while maintaining strict data privacy controls.

The invention relates to the technical field of medical image processing and tumor treatment, and provides a tumor image boundary identification method and system fused with a fluorescence boundary, and the method comprises the steps: collecting a tumor dynamic fluorescence image sequence and breathing waveform data through a fluorescence imaging device; performing multi-scale noise suppression processing on the image sequence to generate a preprocessed image without artifacts; extracting fluorescence intensity distribution characteristics through a multi-layer characteristic weighted fusion network and generating an intensity distribution matrix; constructing a motion compensation model according to the breathing waveform data, and correcting the boundary displacement of the intensity distribution matrix; fusing the corrected fluorescence features and the tumor tissue texture features to generate an initial tumor boundary contour; iterative topological optimization is carried out on the initial boundary, and boundary discontinuity is eliminated; and mapping the optimized boundary to a space coordinate system of the laser treatment equipment, generating a boundary mapping model and updating the boundary mapping model in real time. The precision and safety of laser treatment can be improved, and damage to normal tissue is reduced.

The invention provides a fluorescence imaging method and device based on light source intensity adjustment and a storage medium, and the method comprises the steps: in a PDD fluorescence mode, when a blue light source is turned on, after blue light is reflected by an observation tissue, filtering a spectrum of a green fluorescence wave band generated by excitation of riboflavin through a notch filter; in the photodynamic white light image mode, red light, green light and blue light emitted by the red light source, the green light source and the blue light source are adjusted through the light compensation module according to preset light power, so that the light is reflected by observation tissue and then passes through the notch filter to be white light, and the light compensation module controls the light power output by the red light source and the light power output by the blue light source to be consistent. The green light output power is higher than the light power of the red light or blue light. By combining the notch filter and the light compensation module, the problem that in the PDD fluorescence imaging process, green fluorescence generated by excitation of riboflavin affects the contrast ratio of PDD fluorescence imaging is solved, and meanwhile color rendition of traditional white light imaging can be guaranteed.

The invention provides a calcium imaging neural signal extraction method and product based on self-supervised pre-training, and relates to the technical field of artificial intelligence. Based on a pre-training data set containing a large amount of unlabeled two-photon calcium fluorescence imaging data, a pre-training decoding network and a corresponding pre-training task are self-supervised, and a pre-trained space-time coding network is trained by taking minimization of a pre-training loss function as a target; the method comprises the following steps of: firstly, establishing an encoder and decoder network, establishing fine-tuning data with accurate space-time marked neuron calcium signal positions through simulation, simultaneously performing fine-tuning on the encoder and decoder network by taking minimization of a fine-tuning loss function as a target, and checking the algorithm extraction precision based on various actual imaging data to obtain a calcium imaging signal extraction algorithm network with strong generalization performance. Therefore, a calcium signal extraction model which can be generalized in various imaging conditions and model biological brain regions can be obtained through training without manual labeling, a high-accuracy neural signal extraction result is obtained, the application difficulty that a deep learning model lacks data generalization ability is overcome, and the accuracy of a neural signal extraction result is improved. Calcium imaging neural activity analysis based on self-supervised pre-training and wide in application is achieved.

The invention discloses a multi-fluorescence imaging device capable of adjusting visual field area and optical tomography, which comprises a multi-wavelength light source, the multi-wavelength light source comprises a wavelength variable light source or a light source array, and the wavelength variable light source and the light source array are independent and can realize multi-wavelength output. The optical fibers are mounted on the multi-wavelength light source and transmit light according to different wavelengths, the optical fibers are circularly placed at certain intervals, and the diameter of the optical fibers is changed according to applied voltage and applied temperature to form an annular magnetic disk. The wavelength of the exciting light can be freely adjusted by utilizing a multi-wavelength light source or realizing the exciting light with variable wavelength, a plurality of contrast agents are excited to obtain a multi-wavelength fluorescence image, the characteristics of the plurality of contrast agents can be simultaneously observed, and the universal fluorescence imaging device is widely applied to multi-antigen analysis and treatment. The method can be used for measuring lesion light cross-sectional images and has the advantage of analyzing lesion cross-sectional structures in real time.

The invention discloses a fluorescent composite nano material as well as a preparation method and application thereof, and belongs to the technical field of fluorescent materials. The fluorescent composite nano-material provided by the invention comprises carbon quantum dots with carboxyl modified surfaces and fluorescent nano-particles with amino modified surfaces, wherein the mass ratio of the carbon quantum dots to the fluorescent nano-particles is (0.8-3): 1; the carbon quantum dots of which the surfaces are modified with carboxyl groups are connected with the fluorescent nanoparticles of which the surfaces are modified with amino groups through amido bonds formed by dehydration condensation of carboxyl groups and amino groups; the molecular formula of the fluorescent nanoparticles is Cs2NaYCl6: Yb < 3 + > / Eu < 3 + >, the molar concentration of doped Yb < 3 + > is 15-25%, and the molar concentration of doped Eu < 3 + > is 8-12%. The fluorescent composite nanomaterial provided by the invention has the advantages of uniform particle size and high fluorescence emission intensity, has good fluorescence stability, and can be applied to the fields of humidity detection, fluorescence imaging and the like.

The invention provides a fluorescence imaging method and device based on light source proportion adjustment and a storage medium, and the method comprises the steps: in a photodynamic diagnosis PDD fluorescence mode, when a blue light source is turned on, after blue light is reflected by tissues, filtering the spectrum of a green fluorescence wave band generated by excitation of riboflavin through a notch filter, the interference of green fluorescence on PDD fluorescence contrast is reduced; in the photodynamic white light image mode, red light, green light and blue light are controlled to be imaged in a stroboscopic mode through the light compensation module, and the proportion of the light power of the red light, the green light and the blue light is controlled, so that the red light, the green light and the blue light are reflected by observation tissue, penetrate through the notch filter and then are synthesized into white light. By combining the notch filter and the light compensation module, the problem that in the PDD fluorescence imaging process, green fluorescence generated by excitation of riboflavin affects the contrast ratio of PDD fluorescence imaging is solved, and meanwhile color rendition of traditional white light imaging can be guaranteed.

The invention discloses a full-automatic intelligent multifunctional high-order nonlinear fluorescence dynamics testing method and device, and relates to the field of nonlinear optics and nano photonics. An optical testing device composed of an exciting light generation module, an automatic power regulation module, an exciting light modulation module, a sample scanning module, a data acquisition and analysis module and an intelligent control module is established, and under the excitation of incident laser, based on the overall coordination of the intelligent control module, the optical testing device is established. Other modules are driven to complete the dynamic response test of a nonlinear fluorescence sample, and full-automatic intelligent, multifunctional, high-precision, simple, efficient, low-cost and universal fluorescence dynamic test analysis is realized. The problems that traditional manual operation wastes time and labor and the testing precision is low are solved. In addition, the multifunctional integration of the fluorescence response curve, the fluorescence rise time, the fluorescence lifetime and the fluorescence imaging effectively improves the test efficiency and the application scene, and greatly reduces the system cost.

The invention discloses a dual-mechanism antibacterial photosensitizer as well as a preparation method and application thereof, and relates to the technical field of biomedical photoelectric functional materials. The invention relates to a triphenylamine derivative, which can realize fluorescence imaging of bacterial or fungal infection by utilizing fluorescence characteristics, can generate active oxygen under illumination to play a photodynamic therapy role, is suitable for preparing photodynamic therapy preparations and developing antibacterial materials, and can also be applied to the fields of environment and public health and tumor treatment. The problems that an existing photosensitizer is insufficient in broad spectrum, different in fungus drug resistance mechanism, limited in single treatment effect and the like can be effectively solved, and the photosensitizer has wide application prospects.

The invention discloses a UNET supervised network slice HE virtual staining method and system for pathological analysis, and belongs to the technical field of artificial intelligence digital pathological analysis. Global scanning imaging is performed on a pathological slice to obtain an HE scanning image and a fluorescence confocal scanning image, and a UNET supervised network data set is established; a UNET supervised virtual dyeing network model is constructed; training and verifying the UNET supervised virtual dyeing network model by using the UNET supervised network data set; and carrying out HE virtual staining on the fluorescence imaging pathological section image by using the trained UNET supervised virtual staining network model. The method has the remarkable advantages in the aspects of dyeing precision, dyeing efficiency and robustness, and automatic and rapid virtual dyeing of different types of biological tissue sections can be achieved without accurate image registration.

The invention relates to a structural design, synthesis and application of a biomass carbon dot modified poly L-cysteine-S-S-carboxylic acid amphiphilic polypeptide. The invention provides a structural design, synthesis and application of poly (L-cysteine-S-S-carboxylic acid) amphiphilic polypeptide (P-L-cys) modified by biomass carbon dots (CDs). Comprising synthesis of P-L-cys which contains hydrophobic groups, provides hydrophilic and functionalized carboxyl and provides reduction response by disulfide bonds, synthesis of CDs and CDs modified P-L-cys (CDs (at) P-L-cys), and the macroscopic performance change of the polypeptide is explored from regulation factors of a polypeptide secondary structure and a self-assembly nanostructure assembly mechanism. The P-L-cys and the CDs (at) P-L-cys prepared by the invention have functionalization, fluorescence imaging and dual-response drug release and have particle sizes suitable for drug delivery and enrichment, and the CDs also provide a photo-thermal and photodynamic synergistic treatment effect and have good application prospects in the fields of drug delivery, cancer resistance and the like.

Disclosed are systems and methods for continuously detecting, and optionally classifying, abnormal perfusion patterns in tissue by means of fluorescence imaging. A computer implemented method for detecting (and / or identifying) one or more areas having an abnormal perfusion pattern in tissue of a subject, for example during a medical procedure, includes: continuously acquiring fluorescence images of the tissue, wherein the fluorescence images are associated with a fluorescent output signal correlated with an input signal defined by a series of boluses of at least one fluorescent imaging agent, and wherein the series of boluses is administered with a predefined and / or controlled duration between subsequent boluses, analyzing the fluorescence images, identifying at least one tissue area with normal perfusion, defining a normal perfusion pattern (in an intensity domain and) in a time domain, and detecting, in the fluorescence images, possible tissue areas with abnormal (non-normal) perfusion pattern.

The invention relates to an exterior mirror system and method for fluorescence imaging, and relates to the technical field of image processing, the system can detect fluorescence under a white light operation condition in a tumor excision process, and imaging in a dark or dim operating room is not needed; white light in the fluorescent light is separated, so that a clear fluorescent light image is presented; in addition, fluorescence images can be displayed in a 3D mode, and development is more visual. According to the invention, the technical problems of dark fluorescence image, poor definition and complicated operation in the developing process in the prior art are solved.

The invention discloses an intelligent endoscope system with a multi-mode imaging function, and relates to the technical field of medical equipment, and the intelligent endoscope system comprises an imaging module which comprises a white light imaging subunit, a fluorescence imaging subunit and an infrared thermal imaging subunit; the data preprocessing module comprises noise suppression, SIFT registration and normalization; the image fusion module is used for decomposing four layers in a Laplacian pyramid, and reconstructing after feature weighting; the intelligent analysis module is used for extracting multiple types of features, performing CNN-Transform model reasoning and performing historical case verification; the display control module is used for 4K display, AR labeling and touch operation; and the data storage module is used for AES-256 encryption, DICOM conversion and three-level permission. The diagnosis accuracy is improved through multi-modal fusion, lesions are analyzed and efficiently recognized, operation risks are reduced through operation navigation, safety is guaranteed through data double backup, the system is suitable for multi-cavity diagnosis and treatment, and clinical precise diagnosis and safe operation are assisted.

A system for determining a bacterial load of a target is provided. The system includes an adaptor for configuring a mobile communication device for tissue imaging and a mobile communication device. The adaptor includes a housing configured to be removably coupled to a mobile communication device and, an excitation light source for fluorescent imaging. The excitation light source is configured to emit light in one of ultraviolet, visible, near-infrared, and infrared ranges.

The invention provides an aza-BODIPY molecule with NIR-II fluorescence emission and I-type photodynamic activity and a preparation method thereof. The aza-BODIPY molecule has good light absorption in a near-infrared (NIR) region, the emission peak of the aza-BODIPY molecule is prolonged to a near-infrared second region (NIR-II), and the aza-BODIPY molecule shows an ultrahigh NIR-II fluorescence quantum yield of 13%. Meanwhile, the photosensitizer prepared by adopting aza-BODIPY molecules can effectively generate I-type active oxygen species, namely superoxide anion free radicals, under the excitation of 808nm laser. On the basis, high-resolution tumor fluorescence imaging can be realized by utilizing NIR-II fluorescence of the aza-fluorine boron fluorescent sensitizer, and the aza-fluorine boron fluorescent sensitizer is used for accurate and efficient NIR-II fluorescence imaging mediated I-type photodynamic therapy of deep tumor tissues.

A system for determining a bacterial load of a target is provided. The system includes an adaptor for configuring a mobile communication device for tissue imaging and a mobile communication device. The adaptor includes a housing configured to be removably coupled to a mobile communication device and, an excitation light source for fluorescent imaging. The excitation light source is configured to emit light in one of ultraviolet, visible, near-infrared, and infrared ranges.

The invention discloses a recurrence-resistant cell strain for colorectal cancer large segmentation radiotherapy and application, and relates to the technical field of cell biology. The colorectal cancer large segmentation radiotherapy recurrence-resistant cell strain is preserved in the China Center for Type Culture Collection on January 2, 2025, the preservation address is Wuhan University, Wuhan, China, and the preservation number is CCTCC NO: C202533. By constructing the colorectal cancer large segmentation radiotherapy recurrence-resistant cell strain, a new biological material is provided for studying the radiotherapy recurrence-resistant colorectal cancer. The cell strain is screened in a mouse body with a sound immune system, has better physiological correlation, and is beneficial to research on the influence of an immune microenvironment on tumor cell radiotherapy resistance and the remodeling effect of radiotherapy resistant cells on the immune microenvironment. The cell strain can also monitor tumor recurrence after radiotherapy in real time through fluorescence imaging.

The invention discloses an optical detection device and a sample analyzer, in the optical detection device, a bright / dark field illumination assembly is used for emitting an illumination light beam, and a fluorescence excitation assembly is used for emitting an excitation light beam; the bearing table is used for bearing a to-be-detected sample; the infinite objective lens and the barrel lens are used for imaging a to-be-detected sample in a bright field to form a bright field imaging light beam, imaging the to-be-detected sample in a dark field to form a dark field imaging light beam, and performing microscopic imaging on fluorescent particles in the to-be-detected sample to form a fluorescent imaging light beam; the imaging receiving assembly is used for receiving the bright field imaging light beam, the dark field imaging light beam and the fluorescence imaging light beam. The optical detection device is an infinite microscopic optical system, can perform bright / dark field detection on the to-be-detected sample, can perform fluorescence detection on the to-be-detected sample, is compact in structure, high in sharing rate of all optical elements, saves optical element materials, and is low in cost.

The invention provides a multi-modal image fusion endoscope operation target positioning device and method, and the method comprises the steps: calibrating internal and external parameters of a binocular camera and a fluorescence camera, and obtaining a pose conversion matrix between the fluorescence camera and the binocular camera; using a U-Net network model to identify and track the position of the fluorescent mark point in the fluorescent image in real time, and obtaining the two-dimensional image coordinate of the fluorescent mark point; processing a left image and a right image of the binocular camera by using a region-based local stereo matching method in binocular stereo imaging to obtain a point cloud image of a target space; and obtaining three-dimensional pose information of the fluorescent mark point by combining the two-dimensional image coordinate of the fluorescent mark point and the point cloud image of the target space. The binocular stereoscopic vision and the fluorescence imaging technology are combined, the three-dimensional pose and depth information of the fluorescence mark point is obtained by registering the information between the fluorescence camera and the binocular camera, more accurate and real-time vision assistance is provided for an operation, and the safety and efficiency of the operation are improved.

The invention discloses an ANA detection image-text report intelligent generation method and system, and relates to the technical field of immunodetection, the system uses different fluorescent markers to mark ANA, signal sensitivity is enhanced, and detection accuracy is ensured. Then, collecting fluorescence signals of different wavelengths by adopting a fluorescence microscope and a multi-wavelength excitation light source, and obtaining dynamic change data of reaction intensity by combining a time-resolved fluorescence imaging technology to generate a multi-channel imaging data set; thirdly, noise removal, signal enhancement and image alignment are carried out through an image preprocessing technology, and data consistency is ensured; based on a multi-channel data set, a convolutional neural network is used for training and testing an initial model, an intelligent detection model is constructed, a fluorescence reaction mode is extracted, finally, a detailed ANA detection report is automatically generated by calculating a comprehensive scoring coefficient and comparing the comprehensive scoring coefficient with a preset threshold value, and an accurate immunodiagnosis basis is provided for doctors.

The invention discloses a preparation method of an RNA targeted photosensitizer and an application of the RNA targeted photosensitizer in anti-tumor treatment, and belongs to the technical field of fine chemical engineering. The photosensitizer is modified on the basis of a fluorescent molecule parent, and the RNA targeted photosensitizer is constructed. The photosensitizer disclosed by the invention can be self-assembled into nanoparticles in an aqueous solution, shows good RNA targeting, effectively generates reactive oxygen species through I-type and II-type mechanisms, and shows excellent performance in the aspects of long-term fluorescence imaging in tumor cells and anti-tumor treatment in normal-oxygen and hypoxic environments; the fluorescence of the photosensitizer Se-cy is enhanced by about 230 times after RNA is added, and the fluorescence duration can be kept as long as 40 hours in in-vitro cells; and the fluorescent label can be kept for 4 days in vivo, shows excellent fluorescent durability, and has a remarkable anti-tumor effect on tumor-bearing mice.

A device for fluorescence-based imaging and monitoring of a target is provided. The device includes a light source emitting light for illuminating the target, the emitted light including at least one wavelength or wavelength band causing at least one biomarker associated with the target to fluoresce, and a light detector for detecting the fluorescence.

The invention discloses a preparation method and application of a granzyme B response near-infrared two-region ratiometric fluorescent probe (DCGA). The DCGA combines the NIR-II dual-emission fluorescence characteristic of rare earth ions with a ratio-type signal response mode, the sensitivity and signal stability of in-vivo fluorescence imaging are greatly improved, ultralow or enhanced F1060nm fluorescence signals are respectively shown before and after interaction with granzyme B (GzmB), F1525nm fluorescence signals are almost kept unchanged, and the DCGA can be used for detecting the in-vivo fluorescence imaging of the granzyme B (GzmB). Therefore, the self-calibration ratio fluorescence imaging GzmB activity change is realized. The DCGA is applied to tumor treatment of immunotherapy drugs, and responders and non-responders of immunotherapy can be distinguished in a non-invasive early stage through ratio fluorescence signals of the DCGA. Therefore, the fluorescent probe can be used as an effective GzmB active NIR-II ratio fluorescence imaging tool, and is expected to provide powerful support for immunotherapy research, precision medicine and personalized diagnosis and treatment.

A system for determining a bacterial load of a target is provided. The system includes an adaptor for configuring a mobile communication device for tissue imaging and a mobile communication device. The adaptor includes a housing configured to be removably coupled to a mobile communication device and, an excitation light source for fluorescent imaging. The excitation light source is configured to emit light in one of ultraviolet, visible, near-infrared, and infrared ranges.

The present invention relates to the technical field of hydrogen leak detection in hydrogen refueling stations, and provides a hydrogen leak detection device and method that integrates multiple technologies. The technical solution includes: an infrared thermal imager for preliminary monitoring of potential leak hotspots; a laser spectrometer for high-precision leak positioning; a nanosensor that continuously monitors hydrogen concentration and sends out an alarm signal; an acoustic sensor array that determines the precise location of the leak source; a gas fluorescence imaging device that assists in locating the leak source; a mass flowmeter that quickly identifies flow anomalies to determine whether there is a hydrogen leak; and an alarm and control system that receives alarm signals and performs corresponding control operations. Through the coordinated work of these devices, the safety and reliability of the hydrogen refueling station can be effectively improved. The present invention realizes real-time monitoring and rapid response to hydrogen leaks, significantly reduces the risk of leaks, and ensures the safe operation of the hydrogen refueling station.

The invention discloses a near-infrared fluorescent probe DCM-MBS for detecting ONOO <-> as well as a preparation method and application of the near-infrared fluorescent probe DCM-MBS, and belongs to the technical field of peroxynitroso ion detection. The probe DCM-MBS is a water-soluble probe, the detection method is simple, ONOO <-> response is rapid, selectivity is good, specificity is high, detection sensitivity is high, interference of other biological molecules, active substances and the background of the probe can be effectively avoided, repeatability, accuracy and reliability of a detection result are ensured, and the detection method is suitable for large-scale popularization and application. Further, the requirement of real-time monitoring of the rapidly-changed ONOO <-> level in a living body is met; the color change is obvious and easy to observe, and qualitative in-situ real-time detection of ONOO <-> can be realized by naked eyes; the fluorescent probe has very excellent biocompatibility, can realize excellent fluorescence imaging in various cells and living mouse bodies, and does not have obvious toxic or side effects; the synthesis method is simple and efficient, raw materials are low in cost and easy to obtain, large-scale industrial production is facilitated, and wide market application prospects are achieved.

The invention provides a benzobis (thiadiazole) near-infrared two-region fluorescent dye molecule and a preparation method thereof, and the preparation method comprises the following steps: by taking a benzobis (thiadiazole) derivative as a raw material, introducing 3, 4-ethylenedioxythiophene through a Stille cross-coupling reaction; the preparation method comprises the following steps: carrying out bromination with N-bromosuccinimide, introducing a cyanated dibenzocarbazole derivative through a Suzuki cross-coupling reaction, and finally carrying out reduction and cyclization reactions to synthesize the end cyano-functionalized near-infrared two-region fluorescent small molecular dye. The receptor-donor-receptor-donor-receptor (A '-D-A-D-A') structure near-infrared two-region fluorescence molecule disclosed by the invention has the properties of long absorption wavelength, high fluorescence quantum yield, high fluorescence brightness and the like, and has a wide application prospect in the field of near-infrared two-region fluorescence imaging.

The invention discloses a rod-like erbium-doped rare earth-based in-vivo fluorescent probe as well as a preparation method and application thereof, and belongs to the technical field of synthesis of nano materials. The rod-like erbium-doped rare earth-based in-vivo fluorescent probe is NaYF4: Yb, Er (at) NaYF4: Yb of a rod-like core-shell structure, in the NaYF4: Yb and Er-coated NaYF4: Yb, NaYF4 is selected as a matrix, Yb < 3 + > is selected as a sensitizing agent, and Er < 3 + > is selected as an activating agent. The invention is applied to fluorescence imaging, and has the characteristics of excellent optical performance and capability of realizing high-resolution imaging of deep tissues.

The present application provides an automatic focusing method for a fluorescence imaging device, including: S1, obtain a relationship function curve Z-Fv; S2, Gaussian fitting is performed on the relationship function curve Z-Fv, to obtain a standard Gaussian function f(x); S3, the object lens is arranged at three different travel coordinates, to obtain three groups of coordinate-clarity data (Z, Fv); S4, any two groups of the data are taken from the three groups of the coordinate-clarity data (Z, Fv) obtained in S3 and perform the Gaussian fitting with a standard deviation σ, to obtain a Gaussian function f1(x); and S5, an average value μ1 of the Gaussian function f1(x) is calculated, as a preferred travel coordinate Z′ for this time of the focusing object lens. The present application solves problems of large focusing clarity error and slow focusing speed of the fluorescence imaging device in existing technologies.