944 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 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 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 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 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.

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.

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.

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 ratiometric fluorescence sensing system and a preparation method and application thereof, and the preparation method comprises the following steps: respectively preparing a silicon oxide-based aggregation-induced emission material and a copper-doped carbon dot material, and mixing the silicon oxide-based aggregation-induced emission material and the copper-doped carbon dot material with an ascorbic acid-2-phosphoric acid material to construct the ratiometric fluorescence sensing system. The fluorescent probe is applied to ferric ion detection, in-vitro detection of biomarkers or fluorescence imaging. The technical scheme provided by the invention has good stability, accuracy and practical application potential.

The invention discloses an ether chain modified rhodamine fluorescent dye, an ether chain modified rhodamine fluorescent dye probe and a preparation method and application thereof, through modification of an ether chain, the water solubility of the rhodamine dye is improved, the aggregation quenching effect is reduced, meanwhile, the intramolecular torsional charge transfer (TICT) is reduced through the electron withdrawing effect of oxygen atoms, and the fluorescence sensitivity is improved. Finally, the quantum yield of the rhodamine dye is greatly improved. The quantum yield of ether chain modified oxygen rhodamine water is increased from 0.31 to 0.70, and the quantum yield of silicon-based rhodamine water is increased from 0.19 to 0.41. The rhodamine dye disclosed by the invention has the characteristics of high brightness, easiness in functional derivation and the like, and has application prospects in the fields of fluorescent probes, fluorescent labels, super-resolution fluorescence imaging and the like.

The invention belongs to the technical field of near-infrared organic dye synthesis, and particularly discloses a cyanine dye with J aggregation characteristic, J aggregation nanoparticles, and preparation methods and applications of the cyanine dye and the J aggregation nanoparticles. The cyanine dye is 1-ethyl-2-(2-(2-(-3-(2-(1-ethyl-3, 3-dimethyl-1, 3-dihydro-2H-benzo [g] indole-2-subunit) ethylidene)-2-(2, 2, 2-trifluoro-N-(2-methylbenzyl) acetamide) cyclopent-1-ene-1-yl) vinyl)-3, 3-dimethyl-3H-benzo [g] indoleiodised salt, and the structural formula of the cyanine dye is shown in the description. The preparation method is simple, the J aggregation nanoparticles can be prepared by utilizing the unique property of J aggregation, the J aggregation nanoparticles have high light stability and have strong fluorescence emission in a near-infrared second region, and the material prepared by the invention can be used as a contrast agent and is applied to the field of near-infrared second region fluorescence imaging.

The invention discloses a YOLO-Drop-based 3D printing droplet microfluidic immunoassay method, which organically integrates a high-precision microfluidic chip preparation technology, a droplet-level immunoreaction system and a fluorescence imaging acquisition and deep learning detection algorithm. And full-chain closed-loop processing from droplet generation, fluorescence signal acquisition, image recognition, result statistics to concentration quantitative analysis is realized. Through deep combination of chip physical parameters and model input features, the method not only significantly improves the accuracy and stability of droplet identification and concentration quantification, but also enhances the robustness of the algorithm under complex sample conditions through multi-scale feature fusion and a signal dual screening mechanism. Meanwhile, the optimized YOLO-Drop model supports embedded efficient reasoning, so that the whole analysis process has the characteristics of real-time performance and high throughput, and the method is suitable for rapid quantitative detection of various biomarkers.

The invention discloses a nanoparticle scattered light confocal imaging device and method. The device comprises a laser unit, a first pinhole, a beam splitter turntable, a scanning focusing unit, an electric objective table, a first detection imaging unit, a second pinhole, a light splitting unit and a second detection imaging unit. The method does not need to mark nano particles, and can synchronously collect unmarked nano particles and fluorescence-labeled biomolecules; in-situ imaging can be realized, and the distribution position and content of nano-particles in living cells can be directly observed; the imaging resolution ratio is high, single nanoparticle imaging can be carried out, and fluorescence imaging can also be carried out at the biomolecule level.

Devices, systems, and methods are provided for in vivo fluorescence imaging. Disclosed herein is an implantable miniature fluorescence imager on a chip having a custom imaging array with angle selective gratings, fiber optics, or microcollimators for image deblurring, and optical filters that can be tuned to image fluorescence from multiple fluorophores simultaneously. Power is supplied by an on-chip power source or transmitted to the chip from an external transducer such as an ultrasound transducer, electromagnetic transducer, inductive transducer, or radiofrequency transducer. Wireless communication may be provided by electromagnetic or ultrasound links to the device. The function of a fluorescence microscope is provided in a millimeter-scale device that can be readily implanted in tissue and used to image fluorescently labeled cells in vivo. The small size of the fluorescence imager makes possible sustained in vivo imaging with real-time monitoring of multiple cell types within Shifting the dynamic diseased tissue or a tumor.

The invention discloses a reactive compensation equipment fault automatic early warning system based on an intelligent algorithm, which belongs to the technical field of intelligent power grids and comprises a fault data acquisition module, a feature processing module, a fault diagnosis and evaluation module and a visualization module. Matlab software, Simulink software, a configurable point fast Fourier transform algorithm, a fluorescence imaging technology, a capacitive detection technology and a related intelligent algorithm are combined, reactive power compensation equipment fault analysis is carried out from three angles of a lightning arrester, a capacitor and a reactor, and the fault of the reactive power compensation equipment is analyzed in a chart form. And the visual output of the output result of the reactive power compensation equipment fault diagnosis model is realized. According to the invention, intelligent and precise diagnosis and visual early warning of reactive power compensation equipment faults are realized by comprehensively collecting multi-dimensional data of the lightning arrester, the capacitor, the reactor and overall compensation.

The invention relates to the technical field of optical microscopic imaging, and discloses a fluorescence imaging system and method. The system comprises a multi-color light source module used for emitting exciting light with different wavelengths, and the exciting light with different wavelengths is used for marking different components in a sample to be detected; the apochromatic illumination module is connected with the multi-color light source module and used for carrying out light beam processing on the exciting light based on a preset illumination mode to generate a target illumination light beam; the multi-channel imaging module is connected with the apochromatic illumination module and is used for collecting fluorescence signals emitted after the target illumination light beam irradiates the to-be-detected sample and separating the fluorescence signals according to the fluorescence spectrum of each component to obtain a plurality of imaging channels; and the image processing module is connected with the multi-channel imaging module and is used for receiving the imaging data from the plurality of imaging channels and fusing the imaging data to obtain a target fluorescence image. By implementing the technical scheme provided by the invention, efficient synchronous imaging of different components in a multicolor fluorescence labeled sample is realized.

The invention belongs to the technical field of biomedical functional dyes and probes, and relates to a fluorescent probe, in particular to a cyclodextrin-based near-infrared fluorescent probe, which is a conjugate formed by coating a fluorescent molecule with cyclodextrin. According to the near-infrared fluorescent probe disclosed by the invention, cyclodextrin is nested on a carbon chain of a fluorescent molecule, so that the water solubility, histocompatibility and safety are improved, the fluorescence lifetime is prolonged, the light stability is improved, and rapid transmission and response of ureters, lymphatic vessels and lymph nodes in vivo are realized; the method can be used for NIR-I and NIR-II imaging; a near-infrared fluorescence probe with targeting property can be formed by marking various tumor targeting molecules, so that accurate targeting fluorescence imaging of different types of tumors such as urogenital tumors, head and neck cancers, breast cancers and cervical cancers and metastatic lymph nodes in NIR-I and NIR-II windows is realized, and the near-infrared fluorescence probe can be applied to fluorescence imaging navigation in clinical operations.

The invention relates to the technical field of quantum sensing and optical instruments, and discloses an integrated scanning confocal microscope for diamond NV color center quantum sensing, which comprises a control module, an integrated circuit module, an integrated laser module and an integrated light path module, the control module is used for exciting a diamond NV color center, the integrated light path module realizes two-dimensional scanning of a laser beam on a sample focal plane through a galvanometer, an objective lens is used for collecting NV color center fluorescence, meanwhile, a single-photon counter and a camera are arranged, confocal detection and wide-field microscopic imaging are realized, and the integrated circuit module receives an instruction of the control module. The microscope can realize confocal scanning fluorescence imaging, optical detection magnetic resonance spectrum measurement and NV color center spin coherent control experiments, such as Rabian oscillation, Rahm, Haln echo and spin relaxation experiments, and provides comprehensive experimental ability for diamond NV color center quantum sensing.

The invention discloses a precise liquid treatment system and method based on a multi-channel liquid separation valve and gas replacement, and belongs to the technical field of biomedical detection equipment. The system comprises a multi-channel liquid distribution valve and an intelligent control system, the liquid distribution valve is provided with a plurality of channels which are respectively connected with four groups of coloring agent bottles, sheath liquid bottles, waste liquid bottles and gas bottles; a liquid level detection sensor is arranged between the liquid distribution valve and the peristaltic pump, and an outlet of the peristaltic pump is communicated with the dyeing pool. The method comprises the steps of cancer cell acquisition, fixed permeation treatment, system pre-filling, multiple fluorescent staining and fluorescent imaging. High-precision distribution of micro-liquid is realized through cooperative control of liquid separation valve channel switching and inert gas replacement, and high-precision and high-repeatability distribution of micro-upgrading liquid can be realized; a gas isolation mechanism significantly reduces the risk of cross contamination, multi-channel parallel processing improves the detection efficiency, and the device is suitable for circulating tumor cell multi-staining, flow analysis and other biomedical scenes needing high-precision liquid 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.

Fluorescence imaging system designs are described that provide larger fields-of-view, increased spatial resolution, improved modulation transfer and image quality, higher spatial sampling frequency, faster transitions between image capture when repositioning the sample plane to capture a series of images (e.g., of different fields-of-view), and improved imaging system duty cycle, and thus enable higher throughput image acquisition and analysis for genomics and other imaging applications.

Systems, catheter and methods for treating Atrial Fibrillation (AF) are provided, which are configure to illuminate a heart tissue having a lesion site; obtain a mitochondrial nicotinamide adenine dinucleotide hydrogen (NADH) fluorescence intensity from the illuminated heart tissue along a first line across the lesion site; create a 2-dimensional (2D) map of the depth of the lesion site along the first line based on the NADH fluorescence intensity; and determine a depth of the lesion site at a selected point along the first line from the 2D map, wherein a lower NADH fluorescence intensity corresponds to a greater depth in the lesion site and a higher NADH fluorescence intensity corresponds to an unablated tissue. The process may be repeated to create a 3 dimensional map of the depth of the lesion.

The invention discloses an electrochemical microscopic imaging analysis method based on a fluorescence signal, which comprises the following steps of: constructing a fluorescence response electrochemical signal instrument by combining electrochemistry with a fluorescence microscope, and observing the redox potential of K3 [Fe (CN) 6] by taking a terpyridyl ruthenium (Ru (bpy) 32 +) / potassium ferricyanide (K3 [Fe (CN) 6]) fluorescence system as a research object. Influences of electrochemical behaviors on fluorescence signals are deeply explored, and the relationship between fluorescence signal changes and electric signal changes is revealed. According to the present invention, the combination of the electrochemical technology and the fluorescence signal is achieved, the disadvantage of the poor spatial-temporal resolution of the electrochemiluminescence is made up, the new dimension capable of being regulated and controlled by the electrical parameter is provided for the fluorescence imaging, and the Faraday current and the non-Faraday current can be completely reflected by the fluorescence signal. Therefore, the method has wide application value in the aspects of exploring the conductivity of the nano material and the like.