160 results about "Mass spectrometry imaging" patented technology

The invention belongs to the field of mass spectrum imaging, and particularly provides an image segmentation method for a mass spectrum imaging image of an ESI source, and the method comprises the steps: (S1) dividing the mass spectrum imaging image into a plurality of mass spectrum imaging channels according to a mass-to-charge ratio; (S2) selecting a mass spectrum imaging channel where target ions are located, and preprocessing each pixel; (S3) carrying out preliminary segmentation on the spectrogram data; (S4) performing interval division on the mass spectrum data of the channel where the target ions of each pixel are located, calculating the lower area of each interval, selecting the central mass-to-charge ratio of each interval as the abscissa of the intensity value of each interval, and setting the intensity value of the interval with the ratio of the central mass-to-charge ratio to the highest intensity value lower than a set value as 0; (S5) analyzing, training and optimizing the transformed mass spectrum data; and (S6) the optimal combination model obtained in the step (S5) is used for classification of other pixel points of the mass spectrum imaging image, and an image segmentation result is obtained. The method has the advantages of accurate segmentation and the like, and is applied to mass spectrum imaging of the ESI source.

The invention discloses a mass spectrum imaging space super-resolution reconstruction method and system based on a label propagation network, and the method comprises the steps: carrying out the preprocessing of MSI data, and obtaining the low-dimensional representation of the MSI data; representing the low dimension with the Hamp; e, registering the dyed image; for the Hamp; e, performing spatial segmentation on the dyed image to obtain a plurality of image blocks, and constructing a label propagation network for each image block; taking the MSI data as a label of a matched node in the network, propagating the MSI data along the network, and updating the label of the network node at the same time; and fusing the node labels with the statistics-based features, constructing a regression model to calculate the features of each superpixel, and realizing the spatial super-resolution reconstruction of the MSI. According to the invention, the Hamp is fused in the MSI; the method comprises the following steps: according to structural information of an E image, realizing global multi-modal registration through local affine transformation registration, and performing Hamp; and the E dyeing microscopic image is replaced by a high-resolution medical image of other modals, so that mass spectrum imaging super-resolution reconstruction driven by other modals can be realized, and the MSI spatial resolution is improved.

The invention relates to the technical field of pesticide residue detection, provides a fruit juice processing pesticide residue and residual quantity detection method and system, and solves the problems that a test result is greatly influenced by environmental factors, the operation is complicated, the sensitivity is low and the like. The method comprises the following steps: arranging a mass spectrum imaging device to collect a raw material image, and screening to obtain an area image with pesticide residues; extracting mass spectrum characteristics of the image, and calculating to obtain pesticide residues; the detection result is judged, if pesticide residues exist, position information and an area image are displayed on visual equipment, and a qualified rate report of the pesticide residues is output; if the pesticide residue does not exist, the detection is continued. According to the invention, the monitoring comprehensiveness is improved, the visualization and integration of data are realized, the pesticide residue is quantitatively evaluated, the pesticide residue problem can be quickly responded and processed, and the product safety is guaranteed.

The invention relates to the technical field of mass spectrum imaging, in particular to a non-targeted cascade mass spectrum imaging method and device, and the method comprises the steps: obtaining a second-level mass spectrum of each pixel point, and carrying out the spectrum peak recognition and peak extraction, so as to obtain a first intensity matrix, and performing first-order deconvolution calculation to obtain a plurality of parent ion secondary mass spectrums and a corresponding relation between the parent ion secondary mass spectrums and fragment ions, generating a second intensity matrix in combination with adjacent pixel molecule composition information, performing second-order deconvolution calculation to obtain relative ion intensity of characteristic fragments generated by each parent ion in each pixel, and generating a multi-target mass spectrum imaging result. Therefore, the problems that in related technologies, mass spectrum imaging cannot be combined with a chromatographic separation technology generally, so that the analysis dimension is limited, and the data analysis difficulty is increased; the problems that the complexity and the cost of an instrument are increased, the application scene is limited and the stability and the usability are influenced due to the fact that data do not depend on acquisition and spectrum diagram deconvolution depends on a molecular composition modulation technology are solved.

The invention provides a tissue high-resolution mass spectrum imaging technology based on light-driven expansion hydrogel, and belongs to the field of mass spectrum imaging. The technology comprises preparation of light-driven hydrogel, preparation of a light-driven gelation biological sample, digestion and expansion of the gelation biological sample and mass spectrum imaging of the expanded gelation biological sample. The gelation process of the light-driven expansion hydrogel is not inhibited by oxygen, the gelation time is short (only 3 minutes), the gel thickness can be controlled by controlling the addition amount of a gel monomer solution, and the adaptability to a mass spectrum imaging technology is higher; according to the method, 6 times of linear expansion of the hydrogel is successfully realized, and spatial distribution characterization of lipid in liver lobules is realized under the spatial resolution of 100 microns. The method is low in cost and simple and convenient to operate, and has a wide application prospect in popularization of a high-resolution mass spectrum imaging technology at a biological tissue molecule level.

The invention belongs to the technical field of analysis and testing, and discloses an MALDI (matrix-assisted laser desorption ionization) mass spectrum imaging probe for quantifying amino acid and a method for quantifying the amino acid. The probe is simple to synthesize and can quickly and efficiently react with an amino compound, and a product is stable and strong in ionization. The detection method comprises the steps of probe characterization, standard curve making and Q-MSI strategy, and absolute quantification of amino acid is realized by adopting an isotope labeling internal standard method and combining MALDI mass spectrum imaging. According to the method, parameters such as probe spraying, incubation and matrix spraying are optimized, so that the problem that spatial distribution information is lost in tissue homogenization in the prior art is solved, spatial distribution and content difference information of amino acid can be obtained, the sensitivity is improved by several times compared with that of self-detection of amino acid, and the method has good linearity and practicability and is suitable for popularization and application. The quantitative mass spectrum imaging strategy can also be popularized and used for quantitative analysis of other endogenous compounds.

Systems and methods are disclosed for determining the spatial distributions of radionuclides in tissue samples via mass spectrometry imaging. After administration of a radiopharmaceutical that contains a radionuclide, a mass spectrometry imaging system, such as an imaging mass cytometer or a multiplexed ion beam imaging system, is employed to interrogate a tissue sample to obtain a dataset. The radiopharmaceutical includes, or generates via radioactive decay of the radionuclide, a metal isotope detectable by the mass spectrometry imaging system. The dataset is processed to determine a spatial distribution of the metal isotope within the tissue sample, thereby characterizing the spatial distribution of the radionuclide delivered within the tissue sample. The tissue sample may be stained with a biomarker reagent that includes an additional metal isotope attached to a biomarker ligand, enabling the spatially multiplexed and co-registered analysis. The present methods can be adapted to infer and assess localization of non-radioactive pharmaceuticals.

The invention discloses a method for researching the specific distribution of a multi-component complex system in animal tissues based on mass spectrum imaging and multivariate statistical analysis, which comprises the following steps: treating the multi-component complex system, performing animal administration for a certain time, killing the animal, taking the animal tissues, slicing the animal tissues, and taking out the sliced animal tissues; and performing mass spectrum imaging analysis and multivariate statistical analysis to obtain a specific distribution result of the multi-component complex system in the animal tissue. On the basis of a frozen section technology and a mass spectrum imaging technology, a DESI-MSI analysis method of the whole mouse tissue section is established, and in-situ distribution characteristics of the active ingredients of the Anefortia divaricata on the brain tissue section are disclosed by combining multivariate statistical analysis.

The invention discloses a tissue slice high-resolution mass spectrum imaging method and system based on multi-modal data fusion, and belongs to the technical field of mass spectrum imaging and biomedical detection. The method comprises the steps of multi-modal data acquisition, data preprocessing, feature extraction, multi-modal data fusion and high-resolution imaging reconstruction. High-resolution mass spectrum data and high-stability auxiliary modal data are synchronously collected, after preprocessing and feature extraction, feature weights are dynamically distributed and fused by using a fusion model based on an attention mechanism, and then a high-resolution and high-sensitivity imaging result is output through an imaging reconstruction model of a U-Net improved architecture. On the premise that the spatial resolution is not reduced and the sample is not damaged, the mass spectrum signal intensity is effectively enhanced, the low-abundance biomarker recognition capability is improved, the imaging efficiency is high, the adaptability is high, and the method is suitable for biomedical research and clinical diagnosis scenes.

The invention relates to the technical field of traditional Chinese medicine analysis, and discloses a codonopsis pilosula root traditional Chinese medicine in-blood pharmacodynamic substance mass spectrometry imaging method and application thereof, and the method comprises the following steps: S1, pharmacodynamic research and serum drug chemical analysis of codonopsis pilosula treatment diseases: (1) establishment of an animal model: taking a spleen deficiency model as an example, (2) serum drug chemical analysis, and (3) establishment of an animal model: taking a spleen deficiency model as an example; and S2, researching the distribution of the blood-entering components in the traditional Chinese medicine. Differential distribution of various medicinal effect substances in different tissues of the plant is accurately identified and positioned by utilizing a mass spectrum imaging technology, and deep mass spectrum imaging analysis is quickly performed on the tissues of the target micro-region, so that the type and content information of the components entering the blood is obtained; according to the technology, space metabonomics is added, and the whole action mechanism of the codonopsis pilosula for treating diseases is explored, including codonopsis pilosula pharmacodynamics research and searching of pharmacodynamic substance components and spatial distribution of the pharmacodynamic substance components in codonopsis pilosula roots.

The invention provides a transdermal absorption partition identification method based on mass spectrum imaging. The invention also provides a mass spectrum imaging-based cosmetic functional component transdermal absorption analysis method. The invention provides a mass spectrum imaging-based cosmetic functional component transdermal absorption analysis method and application. The invention relates to a novel method for high-precision and high-specificity positioning analysis of functional components, functional component metabolites and skin endogenous components in cosmetics in complex skin tissues and application of the novel method based on a transdermal experiment method for simulating cosmetic in-vitro transdermal on the basis of human in-vitro skin and a mass spectrum imaging technology. And a reliable technical platform is provided for research on a cosmetic transdermal absorption mechanism.

The invention discloses a preparation method and application of a peptide specific quality nanoprobe. The nanoprobe is prepared by uniformly mixing mass tag molecules, functional polypeptide and a chloroauric acid solution and adding a sodium hydroxide solution through a simple one-pot method. The synthesized mass nanoprobe is specifically recognized and combined with target protein on cells or tissues through a peptide chain, and mass-to-charge ratio signals of mass tag molecules corresponding to different nanoprobes are detected through laser desorption ionization-time-of-flight mass spectrometry (LDI-TOFMS) ionization; the mass spectrum imaging analysis on the relative expression quantity of various proteins on different types of cancer cells and tumor tissue slices is realized. The probe has the characteristics of simple preparation, specific recognition, low background, high resolution and the like, and is easy to popularize to the detection of various proteins on the surfaces of other biological samples.

The invention relates to the technical field of physiological monitoring, in particular to a hepatocellular carcinoma treatment effect analysis system and method based on metabolism comprehensive analysis, and the method comprises the steps: obtaining the evolution condition of hepatocellular carcinoma, the composition condition of drugs and the composition condition of metabolites; drug absorption and transformation analysis is carried out based on the composition condition of the drug and the marking condition of the composition condition of the metabolite, future drug transformation component prediction is carried out based on the drug absorption and transformation analysis result and the evolution condition of the corresponding hepatocellular carcinoma, and drug treatment effect early warning is carried out based on the future drug transformation component prediction. The first-pass effect is corrected through mass spectrum imaging and enzyme activity, the inhibition effect of the tumor microenvironment on drug transformation is quantified, prediction is dynamically adjusted through the future tumor anomaly score ratio, and the accuracy of the time of drug replacement is improved.

The invention discloses an in-situ derivatization mass spectrometry imaging method, which belongs to the technical field of mass spectrometry imaging detection, and comprises the following steps: preparing a sample slice and attaching the sample slice to a conductive glass slide; the method comprises the following steps: dissolving a derivatization reagent and a catalyst in a volatile organic solvent to prepare a derivatization reagent system solution, and spraying the derivatization reagent system solution on the surface of the tissue slice for derivatization reaction; coating a matrix on the surface of the derivatization slice, and identifying and analyzing by using an MALDI-MSI method; the structure of the derivatization reagent is shown in the specification. The derivatization reagent can perform mild and rapid in-situ derivatization on trace carbonyl-containing compounds in biological tissues, significantly improve the mass spectrum signal response of target compound molecules and significantly inhibit the delocalization (diffusion) phenomenon of analytes, and the MALDI-MSI technology is adopted to analyze the derivatized tissue slices. High-spatial-resolution in-situ visualization characterization of trace carbonyl-containing compounds in biological tissue slices is realized, and the problems in the prior art are effectively solved.

The invention discloses an MALDI-MSI method for visually analyzing distribution of active ingredients of rhizoma smilacis glabrae in tissues in a rat body. The space metabolism distribution characteristics of the rhizoma smilacis glabrae bioactive components in a rat body are analyzed by utilizing an MALDI-MSI mass spectrum imaging technology, 9-aminoacridine is creatively used as a matrix based on the characteristics of the rhizoma smilacis glabrae active components, and the concentration of the 9-aminoacridine matrix and MALDI mass spectrum parameters are optimized, so that the sensitivity of the rhizoma smilacis glabrae bioactive components is improved. The ion inhibition effect of the matrix on the glabrous greenbrier rhizome active component is eliminated, the signal response of the glabrous greenbrier rhizome active component is obviously enhanced, the mass spectrum imaging quality level is improved, and the in-situ visual detection of the glabrous greenbrier rhizome active component in different tissues and organs of rats is successfully realized.

The present invention relates to a mass spectrometry imaging detection method for metrafenone on the surface of wheat leaves, which comprises the following steps: S1, providing a wheat leaf with metrafenone attached to the surface; S2, applying a matrix to the surface of the wheat leaf by a sublimation method; S3, setting the spraying thickness to 0.7 μm-1.5 μm, the laser spot diameter and the laser intensity to (40 μm-75 μm, 56.4%-71.0%) and the imaging step length to (30 μm-50 μm, 30 μm-50 μm) for MALDI-MSI analysis. According to the mass spectrometry imaging detection method for metrafenone on the surface of wheat leaves of the present invention, the interference of the matrix to the target object can be effectively avoided by limiting the coating method and the instrument parameters, and the imaging heat map is made clear and intuitive by optimizing the instrument parameters.

The invention relates to the technical field of data processing, in particular to a full-automatic processing method and system for MSI offline data, and the method comprises the steps: reading in an imzml file; each metabolite to be analyzed is constructed into a list, mass spectrum imaging data of a spatial site is stored in each element of the list, and the overall mass-to-charge ratio offset is calculated; obtaining the overall spatial distribution of each metabolite in the current tissue based on the overall mass-to-charge ratio offset, and drawing a spatial distribution image of each metabolite; filtering the spatial distribution images of all metabolites based on a preset denoising condition, and performing back-fishing processing on the removed signals; and segmenting the effective metabolite image to obtain a tissue area map. According to the method, the automatic realization of signal intensity extraction, noise removal, effective signal salvage and tissue region division can be carried out on the MSI offline data in sequence.

The invention relates to a method for performing MALDI mass spectrum imaging detection and HE staining on a medical tissue slice. The method comprises the following steps: S1, performing matrix spraying on the medical tissue slice, and performing MALDI mass spectrum imaging detection; s2, cleaning the medical tissue slice subjected to MALDI mass spectrum imaging detection by using a cleaning agent; s3, carrying out HE staining on the cleaned medical tissue slice; the cleaning agent in the step S2 comprises ethanol gel and a mixed solvent composed of acetone and tetrahydrofurfuryl alcohol diethyl ether; the volume ratio of acetone to tetrahydrofurfuryl alcohol ether in the mixed solvent is (1.85-4): 1; the ethanol gel is prepared from the following raw materials: ethanol, acetonitrile, PEG-400 and an ammonium formate aqueous solution. The method for performing MALDI mass spectrum imaging detection and HE staining on the medical tissue slice can ensure that the tissue is complete and free of matrix interference during HE staining.

The present invention discloses an automatic electrospray spraying device and method for preparing samples for mass spectrometry imaging, wherein the automatic electrospray spraying device for preparing samples for mass spectrometry imaging includes: a spray capillary; an injection mechanism whose outlet end is connected to the inlet end of the spray capillary; a high-voltage power supply electrically connected to the spray capillary; and a robotic arm for driving the movement of the spray capillary. This solution generates micron-sized droplets through the electrospray principle to achieve derivatization reagent and matrix spraying. Compared with the original technology, it has an order of magnitude improvement in droplet fineness, ensuring that the derivatization reaction does not destroy the in-situ information, and ensuring that the grain size of the matrix crystal is small and evenly distributed, ensuring the quality of mass spectrometry imaging. In addition, this solution also uses a robotic arm to operate the spraying process, making the spraying process more flexible and efficient, and can automatically absorb and replace reagents, realizing fully automatic multi-reagent spraying sample preparation, such as superimposed spraying of derivatization reagent and matrix.

The invention relates to the technical field of biomedicine, in particular to an ELS-induced depression-like behavior rat whole-brain tissue lipid space metabolism analysis method which comprises the following steps: firstly, constructing an ELS-induced depression-like behavior rat model, and determining a depression model group by adopting a depression-like behavior test; then, taking a conventionally fed rat as a control group, respectively carrying out 2D scanning on the control group and the depression model group based on a mass spectrum space omics technology, constructing a 2D brain lipid map, and carrying out whole-brain 3D reconstruction to obtain brain tissue lipid mass spectrum imaging data; and finally, carrying out metabolic heterogeneity analysis on brain tissue lipid mass spectrum imaging data. The method provided by the invention aims to provide technical and data atlas support for research on a lipid metabolism disorder molecular mechanism of occurrence and development of early-stage negative stress induced depression from an animal model level, and meanwhile, the application range of a mass spectrum space omics technology is expanded.

The invention discloses a mass spectrometer and an imaging method thereof, the mass spectrometer comprises a sample introduction system, an ion source, a mass analyzer and a detector, the sample introduction system comprises a target plate for placing a sample to be detected, the ion source comprises an excitation system and an image pickup system, and the image pickup system comprises a lens assembly and an imaging assembly; the lens assembly is located between the target plate and the imaging assembly, an included angle is formed between the target plate and the extending face of the imaging assembly, the extending face of the target plate, the extending face of the lens assembly and the extending face of the imaging assembly intersect on the same straight line, and the lens assembly is movably arranged between the target plate and the imaging assembly. Therefore, the Gremer's law is applied to the mass spectrometer, the technical prejudice of an existing mass spectrometer on the design of an ion source camera system is broken through, the mass spectrometer is simpler in structure and more reasonable in spatial layout, high-precision mass spectrum imaging can be achieved, the central point and the boundary point on the target plate can be clearly imaged, the imaging definition is improved, and imaging is completed.

The application discloses a kind of matrix spraying parameter optimization method and system for mass spectrometry imaging, it is related to deep learning technical field, including: the optical image of the surface of tissue section is collected, is evenly divided into multiple grid units arranged according to row and column, optical reflectivity value is extracted, and optical reflectivity distribution diagram is constituted;Pretreatment is carried out and the hydrophilic-hydrophobic index of each grid unit is calculated;Spraying parameter prediction model outputs nozzle moving speed prediction value;Adjacent grid units in the same row and the difference of nozzle moving speed prediction value are within the preset tolerance range, and the grid units are merged into the same spraying area, the average value of the nozzle moving speed prediction value of all grid units is used as initial optimized nozzle moving speed;Optimized nozzle moving speed is obtained by correction, and the surface of tissue section is differentially sprayed with matrix solution.The technical problem that the present application solves is that the surface of the tissue is different in hydrophilic-hydrophobic, which leads to uneven spraying and low spatial resolution consistency of mass spectrometry imaging.

The invention provides a mass spectrum imaging method for visually analyzing in-vivo and in-vitro spatial distribution of bioactive components in phyllanthus emblica and olive by optimizing instrument parameters and screening a matrix to avoid interference of the matrix to a target compound. According to the established mass spectrum imaging method, on the basis of obtaining a high-resolution morphological image, the in-vitro spatial distribution difference of 36 components in fresh phyllanthus emblica and olives is efficiently and visually analyzed, and the main components comprise phenolic acids, tannins, flavonoids, carboxylic acids, saccharides, terpenoids, sterols and the like. Meanwhile, spatial distribution differences of the 36 components, including heart, liver, spleen, lung and kidney, in various organs of a mouse body are analyzed. The difference of the same bioactive substances in the phyllanthus emblica and the olive is researched from a brand new perspective, the difference distribution of the presented same compounds verifies that the combined action of the same bioactive substances from different sources in vivo can show different pharmacological meanings, and an innovative thought is provided for distinguishing the phyllanthus emblica and the olive in clinical medication.

The invention relates to the technical field of life science, and provides a space metabonomics data analysis method, device and equipment and a storage medium, and the method comprises the steps: determining the theoretical mass-to-charge ratio of each reference metabolite through reference metabolite in different mass-to-charge ratio numerical ranges; for each reference metabolite, acquiring data according to a mass spectrum imaging technology to determine an actually measured mass-to-charge ratio, and calculating a mass-to-charge ratio deviation according to a difference value between the theoretical mass-to-charge ratio and the actually measured mass-to-charge ratio; setting a mass-to-charge ratio tolerance range according to the mass-to-charge ratio deviations of the plurality of reference metabolites; according to the mass-to-charge ratio tolerance range, determining the matching relationship between the actually measured mass-to-charge ratio of the sample and the metabolite; a reference metabolite and a standardized theoretical mass-to-charge ratio are introduced, the adaptive mass-to-charge ratio tolerance range is determined, and the metabolite with the theoretical mass-to-charge ratio of which the difference value with the actually measured mass-to-charge ratio of the sample is within the mass-to-charge ratio tolerance range is determined as the metabolite matched with the actually measured mass-to-charge ratio of the sample, so that the identification, evaluation and calibration of mass drift of mass spectrum data are improved, and the accuracy of mass drift detection is improved. And accurate matching of metabolites is realized.

The application relates to a method for rapidly locating and semi-quantitatively analyzing new organic pollutants in zebrafish in vivo by mass spectrometry imaging. The method comprises the following steps: obtaining a whole zebrafish sample after exposure and water flushing; preparing a whole fish frozen section after embedding and freezing by sodium carboxymethyl cellulose (CMC); analyzing the tissue section by using desorption electrospray ionization mass spectrometry imaging (DESI-MSI); simultaneously adding standard samples with a series of concentrations on a blank glass slide, establishing a standard curve based on the average ion intensity; extracting the average ion intensity of a region of interest (ROI) in the tissue section, substituting the average ion intensity into the standard curve to calculate the concentration of the detected substance in the region, and completing semi-quantitative analysis. The application can rapidly and directly locate the distribution of new organic pollutants in different tissues of zebrafish, realize semi-quantitative evaluation of the local concentration of the tissues, and is suitable for ecological toxicology research and risk prediction of new organic pollutants.

The invention relates to the technical field of biomass spectrometry, and discloses a biomass spectrometry imaging sampling device which comprises a working table, supporting frames are arranged on the periphery of the upper portion of the working table, every two of the four supporting frames are symmetrical, a top plate is arranged above the four supporting frames, and a hydraulic cylinder is arranged at the bottom of the top plate; a rear circular containing disc and a front circular containing disc are arranged at the bottom of the hydraulic cylinder. According to the invention, the hydraulic cylinder at the bottom of the top plate can be flexibly lifted and adjusted and is matched with the synchronous linkage of the rear circular placing disc, the front circular placing disc and the circular mounting column, so that the accurate displacement of the imaging assembly is realized; the circular placing cylinder is matched with the circular moving rod in an inserting manner, and the friction reduction design of the circumferential balls is combined, so that the movement is smooth, the initial position distance is stable, and the detection deviation is avoided; and meanwhile, a rectangular notch in the bottom of a rectangular fixed block is matched with a rectangular rotating block, the effect of a rotating rod and a placement plate is matched, it is ensured that the imaging assembly always faces the surface of the sample, and the consistency of the detection distance can be ensured during multi-point detection.

The invention discloses a method for preparing a mass spectrum imaging sample and an embedding medium, and the method comprises the following steps: sample embedding: picking a plant tissue to be detected as a sample, and embedding the sample to be detected by using the embedding medium; when the complete sample form is not needed, clamping and fixing the to-be-detected sample by adopting a clamp, then putting the to-be-detected sample and the clamp into an embedding box, and adding an embedding medium until the to-be-detected sample is completely immersed in the embedding medium; when a complete sample form is needed, fixing the to-be-detected sample by adopting a sample preparation box, and then adding an embedding medium until the to-be-detected sample is completely immersed in the embedding medium; gradient freezing: freezing the embedded sample twice at different temperatures; and slicing. By means of the method, rapid preparation of mass spectrum imaging samples of different plant tissue samples can be achieved, and preparation of detection plane mass spectrum imaging samples of different layer cells, different tissue areas and different specific angles of different plant tissues can also be achieved.

The invention belongs to the technical field of biological analysis, and relates to a method for performing mass spectrum imaging analysis on lung tissues and application. In order to solve the problem that the structural integrity is difficult to maintain in the lung tissue freezing and slicing process, a liquid shaping agent is adopted to conduct internal perfusion on fresh lung tissue, the airway and the pulmonary alveoli are filled, and the shaping agent supports the lung tissue to maintain the natural state in the subsequent operation after being solidified at low temperature. The prepared lung tissue frozen section can be used for mass spectrum imaging analysis and research.

Immunohistochemistry (INC) and in situ hybridization (ISH) methods are used for the targeted detection and localization of biomolecules (e.g., proteins and miRNAs) in tissues or cells, for research applications and clinical applications such as those of pathologists (e.g., biomarker analysis of resected tumors or tumor biopsies). These methods include mass spectrometry imaging (MSI) as a mode for detecting and localizing biomolecules in tissues or cells. The methods employ optically cleavable mass-tagged reagents linked to probes such as antibodies and nucleic acids and used to enable multiplexed immunohistochemistry and in situ hybridization, with MSI as the detection / readout mode. The methods also include multi-omics MSI procedures in which MSI of optically cleavable mass-tagged probes is combined with other MSI modes, such as direct label-free MSI of endogenous biomolecules from biological samples (e.g., tissues).