200 results about "Autofluorescence" patented technology

The invention discloses a reversible background-free hydrogel nanosensor for acetone detection and an intelligent sensing platform, and relates to the technical field of biosensors. The hydrogel nanosensor consists of a hydrogel matrix and an upconversion nanoprobe, and the upconversion nanoprobe comprises upconversion nanoparticles (UCNPs), hydroxylamine sulfate and thymol blue (TB). The invention adopts hydroxylamine sulfate as a specific recognition unit of acetone to construct a reversible luminescent hydrogel probe for acetone detection, and the probe can be reused in multiple detections, thereby reducing the cost of a single detection. In addition, by adopting near-infrared light as an excitation light source, the autofluorescence interference of the hydrogel matrix is ​​effectively avoided, thereby improving the detection accuracy.

The invention relates to an infectious bacterium detection method and system based on double effects of a reflection spectrum and autofluorescence, and belongs to the field of biomedical detection. The method comprises the following steps: acquiring hyperspectral images of different samples under different light sources; performing data preprocessing on the collected sample hyperspectral image, realizing pixel-level alignment of the dual-effect image based on feature matching and image registration, and constructing a data set; the method comprises the following steps: constructing a wound infection bacterium detection model based on double effects of a reflection spectrum and autofluorescence, and comprising a double-branch feature extraction module which comprises a reflection branch and a fluorescence branch which are respectively used for extracting reflection hyperspectral image features and fluorescence hyperspectral image features; the redundant feature screening module screens the features extracted by the reflection branch and the fluorescence branch through a channel attention mechanism; and the feature fusion module adopts a cross-branch cross attention mechanism to fuse the features of the double branches. According to the method, learning is carried out from two physicochemical characteristics, and the effectiveness and adaptability of the technology are improved.

The invention relates to the technical field of crack image analysis, in particular to a building crack width measuring method based on image analysis, which comprises the following steps of: acquiring an autofluorescence attenuation image of a building surface under ultraviolet excitation, and generating a crack response coefficient matrix according to a material aging degree; driving micro-area pulse thermal imaging based on the crack response coefficient matrix, and extracting a heat conduction abnormal boundary as a crack physical edge; surface attachment interference is eliminated through an edge acoustic impedance matching model, and the real width value of the crack is calculated under a material intrinsic coordinate system. According to the method, the normal width of the crack is measured through uniform point selection in the main axis direction, the measured value is subjected to weighted fusion in combination with the local acoustic impedance matching weight, the obtained width result can better reflect the actual structural integrity and elastic continuity of the crack, geometric quantities are provided, and the local damage degree is reflected; the method is suitable for subsequent structure analysis and safety evaluation.

The invention relates to the technical field of tumor detection, and discloses a tumor detection method and system and computer equipment, and the method comprises the following steps: obtaining autofluorescence decay data of a target biological tissue, and extracting fluorescence intensity and fluorescence lifetime data from the autofluorescence decay data; performing data fusion on the fluorescence lifetime data and the fluorescence intensity data of the target biological tissue to obtain dual-channel fusion data; and inputting the dual-channel fusion data into a tumor detection model pre-trained based on a deep learning network model, outputting the prediction probability of each pixel corresponding to different categories, taking the category with the highest probability value as the tumor detection result of each pixel, and obtaining the distribution positions of tumors and blood vessels in the target biological tissue. According to the method, the fluorescence lifetime data and the fluorescence intensity data are fused and then input into the tumor detection model, so that the model can analyze tissue characteristics from richer and more comprehensive dimensions, the distribution positions of tumors and blood vessels in target biological tissues can be more accurately positioned, and the detection accuracy and the recognition speed are improved.

The invention belongs to the technical field of microbiological detection, and discloses a composite probe for detecting salmonella enteritidis and a preparation method. The composite probe for detecting the salmonella enteritidis comprises magnetic nanoparticles FeO, wherein the surface of the magnetic nanoparticles FeO is modified with an aptamer apt which is specifically combined with the salmonella enteritidis; the surface of the long afterglow nano particle PLNPs is modified with a DNA (Deoxyribose Nucleic Acid) sequence cDNA (Complementary Deoxyribonucleic Acid) complementary with the aptamer; the aptamer apt and the complementary DNA sequence cDNA are subjected to hybridization to form a composite probe structure FeO-SEapt (at) PLNPs-cDNA (complementary deoxyribonucleic acid). The long afterglow luminescence characteristic of PLNPs (ZnGaO: Cr) is utilized, and an excitation light source is stopped before detection, so that signal acquisition completely avoids autofluorescence of a sample matrix, background fluorescence interference is thoroughly eliminated, and the signal-to-noise ratio is remarkably improved.

The invention discloses a double-gating optical detection method and system. The method comprises the following steps: generating an acquisition signal through a signal triggering module; controlling a camera module to acquire first fluorescence information in a first time gating and acquire second fluorescence information in a second time gating according to the acquisition signal; and the signal processing module is controlled to calculate and process the first fluorescence information and the second fluorescence information to obtain a ratio image. First fluorescence information is collected through first time gating, interference of autofluorescence of biological tissue on short-life fluorescence of probe molecules is avoided, then second fluorescence information is collected through second time gating, and then ratio calculation is performed according to the first fluorescence information and the second fluorescence information to obtain a ratio image. Therefore, fluorescence signals of the probe molecule and the reference molecule are distinguished, the accuracy of optical imaging in quantitative detection is improved, and the method can be widely applied to the technical field of detection.

A system for acquiring data regarding a wound in tissue comprises at least one excitation light source configured to directly illuminate a wound with excitation light; a spectral filtering mechanism configured to permit passage of optical signals responsive to illumination of the wound and having at least one wavelength corresponding to bacterial, fungal, and / or other microorganism autofluorescence and / or bacterial, fungal, viral, and / or microbial fluorescence, the spectral filtering mechanism including a plurality of selectable filters respectively corresponding to different discrete spectral bandwidths; an optical sensor configured to detect the spectrally filtered signals; and a processor configured to receive the detected, filtered signals and to identify a fluorescent signature of bacteria in the wound based at least in part on the detected, filtered signals and to output data regarding the bacterial, fungal, viral, and / or microbial fluorescent signature.

A device for measuring intrinsic autofluorescence of molecules present in a biological sample wherein the device includes: a) a light-sheet, virtual light-sheet or light line delivery pathway module including a laser generator capable of generating ultrashort pulses with a duration between 1 microsecond and 1 attosecond, and optical elements shaping the laser light into a light sheet, virtual light-sheet or light-line; b) an imaging chamber including an imaging dish inside of which the biological sample is placed, a translational stage, an illumination objective and a collection objective both immersed in an immersion liquid in a sealed immersion chamber, wherein both objectives are positioned below the imaging dish, wherein thes immersion chamber is placed inside an incubation chamber, allowing environmental control; and c) a fluorescence detection pathway including optical elements, light-splitting elements such as diffractive elements or dichroic mirrors, an array detector, and a device control and signal processing unit.

A deep learning-based digital staining method and system are disclosed that enables the creation of digitally / virtually-stained microscopic images from label or stain-free samples based on autofluorescence images acquired using a fluorescent microscope. The system and method have particular applicability for the creation of digitally / virtually-stained whole slide images (WSIs) of unlabeled / unstained tissue samples that are analyzes by a histopathologist. The methods bypass the standard histochemical staining process, saving time and cost. This method is based on deep learning, and uses, in one embodiment, a convolutional neural network trained using a generative adversarial network model to transform fluorescence images of an unlabeled sample into an image that is equivalent to the brightfield image of the chemically stained-version of the same sample. This label-free digital staining method eliminates cumbersome and costly histochemical staining procedures and significantly simplifies tissue preparation in pathology and histology fields.

A fluorescence lifetime detection system and a detection method. The fluorescence lifetime detection system includes: a labeling unit for providing quantum dots and for labeling a detection object with the quantum dots; a light emitting unit for providing excitation light, the excitation light being projected onto the detection object labeled with the quantum dots, and the quantum dots being capable of generating fluorescence; a photodetector for detecting the fluorescence generated by the quantum dots and collecting fluorescence signals; and a time-correlated single photon counting unit for obtaining time-based fluorescence lifetime data based on the fluorescence signals. The quantum dots can exhibit different fluorescence lifetimes according to the different microenvironments of the detection object itself. Thus, by detecting the fluorescence generated by the quantum dots, the microenvironment of the detection object can be detected according to the fluorescence lifetime of the quantum dots. Moreover, compared with the autofluorescence of the detection object, the fluorescence lifetime of the fluorescence generated by the quantum dots is longer, and the fluorescence signal obtained by detecting the fluorescence generated by the quantum dots is stronger, which can reduce the detection difficulty and improve the detection accuracy.

Methods of obtaining a stained image of a biological sample using a single channel label -free fluorescence lifetime image of the sample comprising a fluorescence intensity image and associated fluorescence lifetime image as described. The methods comprise obtaining a single channel composite autofluorescence intensity and lifetime image from the single channel label -free fluorescence lifetime image, and providing the single channel composite autofluorescence intensity and lifetime image as input to a deep learning model that has been trained to take as input a single channel composite autofluorescence intensity and lifetime image and provide as output a corresponding stained image. Related methods, systems and products are also described.

Techniques for implementing image normalization for multispectral fluorescence microscopy and virtual staining are disclosed. In an example method, a computing device receives, from an imaging device of a first imaging device type, a first autofluorescence image of a first tissue sample, the first autofluorescence image including one or more imaging channels. The computing device determines one or more normalization parameters for a first channel of the one or more imaging channels, the one or more normalization parameters for the first channel based on a first relationship between the first imaging device type and a second imaging device type, the second imaging device type being different from the first imaging device type. The computing device applies the one or more normalization parameters for the first channel to the first channel of the first autofluorescence image. The computing device outputs the normalized first channel of the first autofluorescence image.

The invention provides a construction method of a plant tissue space transcriptome sequencing library, which comprises the following steps: fixing and embedding plant tissues to obtain embedded blocks; performing autofluorescence detection and tissue permeabilization treatment on part of the embedded blocks, and determining an autofluorescence threshold value and target tissue permeabilization time; slicing, pasting and fixing the remaining embedding blocks, and performing microscope fluorescence scanning detection and tissue permeabilization treatment on the tissue-containing chip according to an autofluorescence threshold value and target tissue permeabilization time to obtain a permeabilized tissue chip; and carrying out reverse transcription, tissue removal, cDNA release, recovery and amplification on the permeabilized tissue chip to obtain a cDNA amplification product. The plant tissue transcript constructed by the construction method is not easy to diffuse and high in capture rate, high-quality in-situ capture time-space group data can be obtained, the accuracy and the credibility are high, the sequencing accuracy is ensured, and the application value is high.

A system and method for performing virtual birefringence imaging and virtual staining (e.g., Congo red) of label-free human tissue is disclosed to show that a single trained neural network can rapidly transform autofluorescence images of label-free tissue into brightfield and polarized microscopy images, matching their histochemically-stained versions. Blind testing with quantitative metrics and pathologist evaluations on cardiac tissue showed that the virtually stained polarization and brightfield images highlight amyloid patterns in a consistent manner, mitigating challenges due to variations in chemical staining quality and manual imaging processes in the clinical workflow.

A device for determining the presence of a characteristic of a sample includes a light source for emitting pulsed excitation radiation, a detection device for detecting an autofluorescence radiation emitted by the sample, and a computer-based evaluation device. The detection device is configured to detect the autofluorescence radiation of the sample in a time-resolved manner at different wavelengths by means of time-correlated single photon counting and to provide the evaluation device with two-dimensional data with a wavelength dimension and a time dimenion. The evaluation device is configured to classify the provided data into classes by means of a classifier. The evaluation device is configured to identify specific wavelengths to be prioritized during the classification on the basis of features formed in the time dimension of the data.

Devices, systems, and methods are provided for imaging cholesteatoma, e.g., using an endoscope including a light source configured to deliver visible light at one or more narrowband wavelengths distally from the endoscope selected to cause autofluorescence in target tissue, a camera coupled to the imaging element to acquire image signals of locations beyond the distal end, and one or more filters configured to remove wavelengths of light in the image signals acquired by the camera including the one or more narrowband wavelengths of visible light.

A system for acquiring data regarding a wound in tissue comprises at least one excitation light source configured to directly illuminate a wound with excitation light; a spectral filtering mechanism configured to permit passage of optical signals responsive to illumination of the wound and having at least one wavelength corresponding to bacterial, fungal, and / or other microorganism autofluorescence and / or bacterial, fungal, viral, and / or microbial fluorescence, the spectral filtering mechanism including a plurality of selectable filters respectively corresponding to different discrete spectral bandwidths; an optical sensor configured to detect the spectrally filtered signals; and a processor configured to receive the detected, filtered signals and to identify a fluorescent signature of bacteria in the wound based at least in part on the detected, filtered signals and to output data regarding the bacterial, fungal, viral, and / or microbial fluorescent signature.

A computer-implemented method (530), system (100, 201) and computer readable medium for generating a slide-free histological image in the form of a reconstructed ultraviolet-based autofluorescence microscopy (UV-AutoM) image from a plurality of speckle-illuminated low-resolution images. A computer implemented method (1150), system (100, 201) and computer readable medium for generating a slide-free histological image in the form of a pseudo-hematoxylin and cosin (H&E) stained image (1120) from a grayscale input image such as a UV-AutoM image or a ultraviolet-based photoacoustic microscopy (UV-PAM) image (1110).

A computer-implemented method for processing an image, comprising: receiving at least one image of an unsliced sample; and processing at least the image by a neural network device for performing digital staining to obtain a digitally stained histological image of the unsliced sample. The image of the unsliced sample is obtained by an imaging system having an excitation light source that provides light to cause one or more substances, such as one or more photoluminescent substances, in the unsliced sample to emit light in order to image the sample. The digitally stained histological image generally corresponds to or substantially corresponds to an image of the unsliced sample that has been chemically stained with one or more chemical stains. The unsliced sample may be an unstained biological sample with an endogenous fluorophore, and the image may be an autofluorescence image of the unstained biological sample.

The invention discloses a difunctional near-infrared fluorescent probe as well as a synthesis method and application thereof. The structural formula of the fluorescent probe is shown as a formula (I). The fluorescent probe DTPD provided by the invention can be used for fluorescent quantitative detection of hypochlorous acid and viscosity, and the fluorescent probe can realize detection of hypochlorous acid with high selectivity in an aqueous solution and is not interfered by other coexisting substances. Besides, the near-infrared fluorescent probe provided by the invention has relatively strong organism penetrability in a near-infrared region, can also reduce the interference of autofluorescence of organisms, and has a good cell imaging effect. And # imgabs0 #.

The invention discloses a virtual dyeing verification method for autofluorescence and HE dyeing image registration. A marking paper module, a slice buckle module, an image acquisition module, an image registration module, a virtual dyeing module and a verification output module are included. According to the virtual dyeing verification method for autofluorescence and HE dyeing image registration, high-precision marking paper is introduced to serve as a registration reference, a deep learning model and an image processing algorithm are combined, and precise registration and virtual dyeing verification of two modal images are achieved. The scheme aims at solving the problem of registration errors caused by tissue deformation or dyeing difference in a traditional dyeing technology, it is ensured that the virtual dyeing result is highly consistent with a real dyeing image in space, and a reliable basis is provided for pathological diagnosis.

A method for non-invasively monitoring fluorescent tracers with background separation correction is disclosed, particularly a method for monitoring time-varying fluorescence emitted from a fluorescent agent within a diffusely reflecting medium having time-varying optical properties. The method comprises providing at least two measurements obtained from a patient before and after administration of the fluorescent agent, the measurements comprising a Flr adjacent to the medium detected by a filtered light detector during illumination of the medium with light of an excitation wavelength. meas signal, and at least one DR signal, the DR signal is selected from: #imgabs0#DR em and DR em,filtered The method further includes identifying a post-balanced portion of the measurement data set and assigning each Flr within the post-balanced portion of the measurement data set meas Signal conversion to IF agent signal, the IF agent The signal represents the intensity of the detected fluorescence emitted only by the fluorescent agent in the medium. The disclosed method includes eliminating the effects of leakage of excitation level light and meas Eliminate the influence of autofluorescence in the signal.

This invention discloses a near-infrared long-afterglow nanocomposite, its preparation, and its application in uric acid detection, belonging to the technical field of testing or analyzing materials by measuring their chemical or physical properties. The nanocomposite comprises a near-infrared long-afterglow luminescent center and an outer layer of organosilicon-doped mesoporous silicon containing tetrasulfide bonds. Under near-infrared light excitation, this nanocomposite exhibits excellent afterglow luminescence enhancement response to hydrogen peroxide. Since the product of uric acid decomposition by uricase is hydrogen peroxide, this composite enables highly sensitive and rapid detection of uric acid in blood. The composite provided by this invention has uniform particle size and high stability, effectively eliminating autofluorescence interference from biological components and improving detection accuracy.

The application discloses an aggregation-induced emission microsphere with colorimetric-fluorescent double signals and a preparation method and application thereof. The aggregation-induced emission microsphere comprises carboxyl polystyrene microspheres and aggregation-induced emission dyes embedded in the carboxyl polystyrene microspheres; and the structural formula of the aggregation-induced emission dyes is as follows: The aggregation-induced emission microsphere has colorimetric-fluorescent double signals, is red under natural light, has strong absorption at 600 nm, and shows high light-emitting efficiency at 725 nm, effectively avoids the interference of biological autofluorescence, reduces background interference, has good light stability and light bleaching resistance, and has high molar extinction coefficient, so that the aggregation-induced emission microsphere has colorimetric and fluorescent double signal output capabilities. In addition, the preparation process of the aggregation-induced emission microsphere has high reproducibility, has the potential for large-scale synthesis, and meets the needs of industrial batch production.

The present invention discloses a plant tissue section redyeing method, which relates to the field of biotechnology. The method comprises the following steps: (1) preparing plant tissue sections; (2) observing the plant tissue sections for lignin autofluorescence; (3) subjecting the plant tissue sections observed in step (2) to fluorescent staining for cellulose; and (4) staining the plant tissue sections observed in step (3) with a brightfield dye. The present invention rationally arranges the dyes for use based on whether they are washable. By staining the same sample multiple times, the method is simple and quick, while avoiding errors caused by sample differences.

Systems, instruments, and methods are provided that measure contractility of tissue samples in a parallel and repeatable format based on measurements of optical signals emitted by the tissue samples, e.g., autofluorescence. The tissue samples are imaged during respective contraction periods, capturing the optical signals. In some embodiments, from the images, signal amplitude changes of the optical signals in a region of interest during the contraction period are determined, from which contraction force changes are determined. In some embodiments, from the images, signal amplitude profiles across the region of interest are determined, from which edge translations of fiducial markers and contraction forces are determined.

The present application relates to the technical field of medical image processing, and particularly relates to a combined narrowband and fluorescence imaging method and system for bronchoscopy lesion detection. The method provided by the present application realizes selection and extraction of features with discriminative ability in narrowband imaging images and autofluorescence imaging images based on deep learning, and realizes fusion of advantages of different imaging technologies for lesion detection through decision fusion, thereby improving the speed and accuracy of lesion recognition. Meanwhile, the method provided by the present application can better adapt to different scenes and lesion characteristics, has better generalization ability, improves the specificity and sensitivity of lesion detection, and is beneficial to improving the diagnostic accuracy and efficiency.

The invention discloses a method for detecting temperature in a plant body and a temperature-sensitive probe, and the method comprises the following steps: injecting the temperature-sensitive probe into the plant body to obtain a plant body containing the temperature-sensitive probe. And the temperature-sensitive probe is excited, so that the temperature-sensitive probe emits a light-emitting signal. Light-emitting signals are acquired in a delayed mode, and the temperature in the plant is determined according to the light-emitting signals acquired in the delayed mode. Wherein the time delay is smaller than the luminescence life of the temperature-sensitive probe and larger than the luminescence life of autofluorescence of the plant body. According to the invention, the temperature-sensitive probe is input into the plant body to detect the fluorescence signal, so that the nondestructive detection of the temperature in the plant is realized. Through delayed detection, the influence of autofluorescence of plants is eliminated.

Methods and systems described herein detect autofluorescence of a sample. These methods and systems obviate the need for addition of fluorophores to samples to create IR absorption.

The invention discloses a preparation method of a magnetically-driven diatom cell micron robot based on natural diatom shells and a photodynamic therapy method of the magnetically-driven diatom cell micron robot. The method comprises the following steps: firstly, centrifugally enriching a diatom suspension, treating the diatom suspension in a 0.1 M HCl darkroom for 4 hours, removing surface calcium and exposing a porous structure; and carrying out shaking table resonance with positively charged Fe3O4 nanoparticles (300 [mu] g / mL) for 1.5 h, uniformly modifying the magnetic particles on the surface of the shell through electrostatic adsorption, centrifuging, washing, and freeze-drying at-80 DEG C to obtain the Mag-Diatom. The prepared Mag-Diatom not only retains the autofluorescence of natural chlorophyll in diatom and the capability of generating active oxygen through laser triggering, but also can realize directional control and rapid separation in an external magnetic field due to superparamagnetic response of Fe3O4 modification. The invention provides a controllable and directional micro-nano robot PDT platform which has good biocompatibility and a wide clinical application prospect.