147 results about "Fluorescent staining" patented technology

The invention provides a method for measuring and calculating the article position of continuous silver ore with the particle size of 0.037 mm or above, and belongs to the technical field of mineral grade detection. The silver grade in the sample is measured and calculated through screening; leaching and measuring the content of silver monomers and continuous silver minerals, and reselecting to obtain a heavy sand product; carrying out fluorescent dyeing on the heavy sand product, and selecting monomer silver minerals; analyzing the color of the silver mineral through point scanning data of a scanning electron microscope, melting the monomer silver mineral to obtain the volume of the monomer silver mineral, and calculating the content of the monomer silver mineral; and carrying out conversion to obtain the continuous silver ore article position with the size of more than 0.037 mm. According to the method, the target mineral is rapidly and accurately obtained by adopting density medium reselection and fluorescent dye tracing; introducing a scanning electron microscope to measure and calculate the actual density of the silver mineral to replace the theoretical density, smelting the silver mineral in a mold, and carrying out volume measurement and calculation to obtain the actual metal amount closer to the actual silver mineral; measuring and calculating errors caused by impurities and irregular shapes of mineral particles are reduced; and the calculated grade of the silver mineral is more accurate.

The invention provides a single bacterium drug sensitivity detection method and system, and relates to the technical field of drug sensitivity detection.The single bacterium drug sensitivity detection method comprises the steps that a cultured to-be-tested strain is subjected to fluorescent staining and then mixed with an antibiotic solution, and a mixed solution is obtained; continuing the strain to be tested in the mixed solution through a structured light illumination microscope to obtain an original imaging sequence; reconstructing and preprocessing each original imaging sequence to obtain a processed imaging sequence, and then cutting out a single bacterium to be tested from each processed image in the processed imaging sequence to obtain a plurality of region-of-interest sequences; and inputting each region-of-interest sequence into a pre-trained evaluation model to obtain a detection result including drug resistance or susceptibility. The method has the beneficial effects that the method focuses on the early change of a subcellular structure before bacterial division, so that the detection time is greatly shortened; imaging acquisition and image processing and cutting are carried out on the single bacterium level, and the survival (drug resistance prompting) state and the non-survival (susceptibility prompting) state of single bacteria can be rapidly distinguished.

The invention discloses an assay system with multiple detection modes and a related method. The measurement system with multiple detection modes comprises a sample stage; the optical module is used for scanning a sample to be detected and at least has a sequencing mode and a fluorescent staining mode; a driving circuit selectively coupled to mode parameters corresponding to an operation mode of the optical module, the mode parameters including at least a first mode control parameter corresponding to the sequencing mode and a second mode control parameter corresponding to the fluorescent staining mode; the mode switching circuit is coupled to the driving circuit so as to control the driving circuit based on the sample to be detected; and the mode switching circuit associates different mode parameters to the driving circuit based on the type of the sample to be detected. According to the invention, multi-mode switching of the detection system is realized, and multiple detection functions are realized on the same platform.

The invention relates to an AI-based M-ROSE medical image pathogen detection method and device, and the method comprises the following steps: combining fluorescence microscopic imaging, an AI model and a computer vision technology to realize automatic analysis of fungus detection and mycobacterium tuberculosis detection, and comprises the following steps: constructing a medical image fungus fluorescence image classification method based on deep learning; carrying out fluorescence staining on a fungus sample, carrying out automatic scanning identification, and carrying out automatic identification and classification through an AI model; a medical image tubercle bacillus detection method based on deep learning is constructed, a tubercle bacillus sample is subjected to acid-fast staining or auramine O staining and then enters an automatic scanning recognition system, and whether tubercle bacillus exists or not is automatically judged in combination with a target detection model; and obtaining an automatic identification result, and judging whether fungus types exist in the sample or not or whether tubercle bacillus exists in the sample. The detection sensitivity, the automation degree and the clinical applicability can be improved.

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.

The invention relates to a bronchoalveolar lavage fluid rapid detection method based on a fluorescent staining technology and a corresponding detection device, and aims to improve the detection efficiency of alveolar lavage and sampling screening. The detection device comprises an endoscope assembly, a lavage fluid supply module, a recovery module and a control module. Wherein the recovery module is internally provided with an assembly used for adding a fluorescent coloring agent into the recovery liquid, the fluorescent coloring agent is injected into the recovery liquid in the recovery process of the lavage fluid according to needs, and an electromagnetic drive stirring mechanism is combined, so that dynamic and uniform mixing of the dyeing liquid and the lavage fluid is achieved. The control module automatically adjusts the injection amount, the mixing speed and the stirring duration of the coloring agent according to preset parameters or real-time detection data, and the dyeing reaction time in the operation process is remarkably saved.

The invention discloses application of 4-isopropyltoluene to improvement of depression-like behaviors of mice. An experiment adopts a chronic constraint stress method to construct a depression model, through behavioral detection such as a sucrose preference test, a tail suspension test and a novel inhibition ingestion test, and in combination with molecular biology means such as immunofluorescent staining and Western blot, the anti-depression effect and potential mechanism of 4-isopropyltoluene are systematically evaluated, and the anti-depression effect and potential mechanism of 4-isopropyltoluene are evaluated. Results show that 4-isopropyltoluene plays a significant anti-depression role by inhibiting neuroinflammation, enhancing glial cell support function and activating AKT signal pathway, and has the potential of being developed into a novel anti-depression candidate drug.

The present invention discloses a compound dye for fluorescent staining of cells in complex matrices. The compound dye comprises, based on a total volume of 100 mL, a buffer system having a pH of 6.0 to 8.0; a fluorescent dye, wherein the fluorescent dye is 2× to 40× Sybr Gold or 2 to 80 mg of propidium iodide; 0.1 to 10 mL of Triton X-100; 0 to 24 mL of glycerol; 0 to 800 mg of EDTA-disodium; and a polyamide-amine dendrimer. The two preferred compound fluorescent dye formulas of the present invention can both achieve efficient staining of cells in complex matrices and accurate counting of their number, and the dye has excellent fluorescence color development ability. Compared with other dyes, the compound dye has a fast staining rate (staining can be achieved within 30 seconds), stable staining, and is not prone to fluorescence quenching under long-term illumination.

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.

The invention discloses a multi-immunofluorescence staining cell target detection method and device based on environmental information fusion. The method comprises the following steps: 1) constructing an image detection framework combined with environmental information fusion; 2) detecting network anchor point adjustment and positioning; 3) accurately positioning a feature map and generating cells in a classified manner; and 4) performing feature accurate positioning target detection based on environmental information guidance. According to the method, target category image target detection based on environment information conversion is realized through a feature vector accurate positioning form based on environment information of a DAPI image.

The invention belongs to the technical field of biology, and discloses a preparation method of an intestinal plexus patch, which comprises the following steps: killing an intestinal tract donor, fixing intestinal tissue segments of duodenum, jejunum, ileum or colon by using paraformaldehyde, and dehydrating to obtain dehydrated intestinal tissue segments; washing the dehydrated intestinal tissue section and removing mesentery, fat and Pari's lymph nodes attached to the jejunum, cutting an intestinal mass of about 4-6mm perpendicular to the intestinal tissue section, flatly laying the intestinal mass on a glass slide, dropwise adding a PBS (Phosphate Buffer Solution) of Triton X-100, fixing the intestinal mass by using a smooth surface of a pair of tweezers, stripping muscle tissues along the annular muscle direction, and drying the intestinal mass in a drying oven. The intestinal slices with intermuscular nerve plexus are obtained; finally, the intestinal piece with the intermuscular nerve plexus is cleaned, then fluorescent staining and piece sealing are conducted, and the mouse intestinal nerve plexus patch is obtained. The preparation method of the mouse intestinal nerve plexus patch has the advantages of being convenient, rapid and the like.

The application provides a method for measuring and calculating the grade of silver minerals above 0.037 mm, and belongs to the technical field of mineral grade detection. The application measures and calculates the silver grade in the sample through screening; measures and calculates the content of silver monomer and silver minerals by leaching, and obtains heavy sand products by gravity separation; the heavy sand products are dyed by fluorescence, and monomer silver minerals are selected; the color of the silver minerals is analyzed by scanning electron microscope point scanning data, and the volume of the monomer silver minerals is obtained by melting, so that the content is calculated; the grade of silver minerals above 0.037 mm is obtained by conversion. The application adopts density medium gravity separation and fluorescent dye tracing to quickly and accurately obtain the target minerals; the actual density of the silver minerals is measured and calculated by introducing a scanning electron microscope instead of the theoretical density, the silver minerals are smelted in a mold, the volume is measured and calculated, and the real metal amount of the silver minerals is obtained, which is closer to the actual value; the calculation error caused by impurities and irregular shape of the mineral particles is reduced; and the calculated grade of the silver minerals is more accurate.

The utility model discloses an AIE vaginal secretion dual fluorescent staining solution preparation sampling tube, which relates to the field of gynecological pathogen detection, and comprises a sampling tube body, pressing holes are arranged below two sides of the sampling tube body, and shielding components are arranged on two sides inside the sampling tube body. By arranging the shielding assembly, when the negative pressure ball needs to be pressed through the pressing hole, a worker pulls a pull rope through a pull ring, the pull rope pulls a sliding block to move upwards, the sliding block moves upwards to extrude a spring, so that the spring is stressed and compressed, meanwhile, a baffle is driven to move upwards, the baffle moves into the containing cavity, and at the moment, the baffle does not shield the pressing hole any more; a worker can press the negative pressure ball through the pressing hole, when the negative pressure ball does not need to be pressed, the pull ring is loosened, the spring is stretched to push the sliding block to move downwards to reset, the baffle is driven to move to reset, the baffle shields the pressing hole, and the situation that the sealing plug is moved out of the suction pipe when the negative pressure ball is pressed by fingers in the sampling pipe taking process is avoided.

The present invention pertains to a cancer cell identification method and a cancer cell identification system capable of identifying cancer cells via CTC detection by using an unstained image, and simply and highly accurately identifying and classifying cancer cells. The present invention comprises a CGAN 12 that performs image generation learning for generating a fluorescence estimation image 18 obtained by learning, in pairs, a fluorescence-stained image 8, which is obtained by fluorescently staining an inspection cell 2 via antibodies, and an unstained image 16 thereof, and then estimating the fluorescence-stained image 8 from the unstained image 16. The present invention also comprises a CNN 14 that performs image identification learning for receiving input of the unstained image 16 and the fluorescence estimation image 18 corresponding thereto as one set of cell information, performing machine-learning in advance as to whether the unstained image 16 is a cancer cell by using the fluorescence-stained image 8 of the inspection cell 2, and identifying whether the input unstained image 16 is a cancer cell. The CGAN 12 generates the fluorescence estimation image 18 from the unstained image 16, and the CNN 14 identifies whether the unstained image 16 obtained by imaging an inspected cell in blood is a cancer cell from the fluorescence estimation image 18 on the basis of the image identification learning, and then classifies the cell.

The present invention provides a method for measuring the thickness of a fluorescently stained thin film by in-situ coupling of interference and fluorescence in-situ. Aiming at the problems that the interference fringe method is not applicable to the measurement of film thickness above the micron scale and the fluorescence method has poor sensitivity in measuring film thickness below the micron scale, the present invention takes into account the respective advantages of the two methods and uses the two methods based on the same optical path to measure the thickness of the thin film at the same position, realizing the mutual coupling of the fluorescence method and the optical interference method in-situ. That is, the calibration relationship of the fluorescence method can be corrected by the film thickness calculated by the optical interference method, so as to improve the sensitivity of the fluorescence method in measuring the film thickness below the micron scale and expand the effective range of the fluorescence method.

The invention discloses a method and device for identifying helicobacter pylori based on artificial intelligence fluorescence imaging, and relates to the technical field of artificial intelligence medical detection. Comprising the following steps: S1, carrying out slide preparation treatment on a cytological sample or a tissue slice sample, and processing the slide preparation through an immunofluorescent staining reagent to obtain a helicobacter pylori fluorescent staining picture; s2, outputting and obtaining a helicobacter pylori picture with a rectangular frame identifier through a helicobacter pylori identifier neural network model; and S3, according to the coordinate information of the rectangular frame, obtaining the coordinate information of the helicobacter pylori in the fluorescent staining picture, and splicing the helicobacter pylori pictures to obtain a spliced picture. According to the method, the helicobacter pylori is marked automatically through the helicobacter pylori identification neural network model, the problems of subjectivity and time consumption of traditional manual microscopic examination are avoided, meanwhile, the positions of thalli are accurately marked, positive probability data are output, and then the detection efficiency is improved.

The invention provides application of a rice OsABI3 gene in reduction of rice cadmium accumulation, and relates to the technical field of gene engineering. The nucleotide sequence of the gene is shown as SEQ ID NO.1. The application comprises the following steps: directionally editing the OsABI3 gene by using a CRISPR / Cas9 technology, constructing a recombinant vector, transforming the recombinant vector into a rice callus by using an agrobacterium-mediated method, and screening to obtain a mutant plant. The rice OsABI3 gene is cloned and analyzed for the first time, the nucleotide sequence of the gene is disclosed, a new perspective is provided for illuminating an unknown molecular mechanism of rice for regulating and controlling Cd transportation, and the invention also proves that the OsABI3 gene has the capability of regulating and controlling Cd accumulation of rice; and tissue anatomy and fluorescent staining experiments prove that the OsABI3 has the capability of limiting radial transportation of Cd ions in a root system.

The present invention discloses a method for screening grafting affinity rootstocks using a spectral method and a fluorescent probe. The method comprises the following steps: first, the rootstock and the scion cut surface are tightly fitted together and then a grafting clamp is clamped thereon to perform graft healing period management. Before measurement, the bottom of a hole plate of a grafted seedling is immersed in a fluorescein disodium salt solution, the grafted seedlings are fluorescently stained after grafting, and then a 365nm ultraviolet lamp is used to obliquely illuminate the surface of the junction between the grafted seedling rootstock and the scion. A micro-fiber spectrometer is used to receive the fluorescence reflection spectrum at the junction between the grafted seedling rootstock and the scion, the spectral data is processed, and the relative fluorescence intensity of the scion healing part in the scion area at a wavelength of 525nm is calculated to determine whether the scion and the rootstock are effectively connected, thereby determining the grafting affinity of the melon rootstock.

The present application relates to the field of plant biotechnology, and particularly relates to a fluorescence staining method for pollen germination of Dendrobium nobile Lindl, which comprises five steps: collecting Dendrobium nobile Lindl flowers with a stigma, removing extra parts such as sepals and only keeping the stigma, trimming the two sides of the stigma into a horizontal shape, placing it into a pre-cooled fixing solution for fixation, and then dehydrating it with gradient alcohol; cutting the dehydrated stigma along the middle line of the stigma with a scalpel; placing the cut sample into a softener for treatment to soften the tissue; transferring the transparent sample into a staining solution containing fluorescent dye for staining in dark conditions; after the completion of staining, taking out the sample, fixing it on a glass slide, covering it with a cover glass, and observing the pollen germination of the Dendrobium nobile Lindl stigma under a fluorescence microscope. The method can clearly and accurately observe the pollen germination of the Dendrobium nobile Lindl stigma, and provides strong technical support for the related research of Dendrobium nobile Lindl and other plant materials with large stigmas.

1. The name of the design product: full-automatic microscopic image scanning analyzer. 2. The use of the design product: for observing the fluorescence of samples such as cells and cell tissues dyed with fluorescent dye, obtaining images, and performing image analysis. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The invention discloses a mitochondrial targeting pyridinium cyanine photosensitizer compound, a preparation method, a compound and application thereof, and the pyridinium cyanine photosensitizer compound is generated through organic reaction by taking N-methyl-N-hydroxyethyl naphthylamine as an electron donor, pyridinium cyanine as an electron acceptor and double bonds as pi bridge connection. After the pyridycyanine photosensitizer compound is self-assembled and combined with HSA, specific fluorescent staining of mitochondria is achieved, active oxygen is efficiently generated under white light irradiation and directly acts on the mitochondria, and the cancer cell killing efficiency is improved. The preparation method is simple and efficient, and the prepared photosensitizer compound has a good photodynamic therapy effect and biological safety and has a good application prospect.

The invention discloses application of a multi-fungus fluorescent staining solution in preparation of a kit for rapidly identifying survival / drug resistance of fungi, and belongs to the technical field of biological detection. The kit can be used for identifying the death and activity of fungi and high-precision rapid drug resistance identification while specific fungi staining is carried out; a fluorescence brightening agent is adopted to mark fungal components in a sample, and the fungal form is clearly observed under a fluorescence microscope. The nucleic acid fluorescent dye capable of selectively permeating and damaging the cell membrane displays the dead and living state of fungi on the basis of fungus dyeing, and the fluorescent dye permeates into cells and is combined with nucleic acid to emit fluorescence. Metabolic reactive dyes of the cells are used for carrying out rapid drug resistance identification on fungi subjected to drug action. The method can simultaneously realize fungal death and activity identification and rapid drug resistance detection, and is simple and convenient to operate, high in detection speed and accurate in result. The kit is suitable for rapid auxiliary diagnosis and treatment of clinical fungal infection. When the multi-fungus fluorescent staining solution is used for preparing the drug sensitivity detection kit, the detection time of the kit is only 1-2 hours.

The invention relates to the technical field of animal blood cell detection and analysis, in particular to a method for an animal blood cell analyzer to recognize platelet aggregation, which comprises the following steps: after the animal blood cell analyzer performs pretreatment and fluorescent staining on a blood sample in a white blood cell DIFF channel, acquiring three signals of blood cells through laser flow cytometry; two scatter diagrams are drawn according to the three signals, platelet aggregation particles are identified in a certain area range in the two scatter diagrams, when the number exceeds a threshold value, an alarm is given, and normal leukocytes cannot fall in the area. The good alarm function of the instrument provides more accurate prompts for clinical diagnosis, and clinical appropriate microscopic examination of platelets is facilitated. The cost is saved, extra testing is not needed, and the alarm function can be achieved in the leukocyte DIFF channel in the blood routine testing mode. The platelet aggregation region is identified, the influence of platelet aggregation on the total number of leukocytes is eliminated, and the leukocyte value is more accurate.

The present invention discloses a method for testing the adhesion of jellyfish nematocysts and its application. The method comprises the following steps: isolating nematocysts: subjecting a jellyfish suspension to density gradient centrifugation using Percoll centrifuge to obtain nematocysts; preparing a coating: applying different coating materials to the center of a culture dish to form a smooth coating; adhering nematocysts: dropping the separated nematocysts onto the center of the coating and covering it with a coverslip for a predetermined period of time; staining: removing the coverslip, adding acridine orange as a dye, covering it with a coverslip to allow the dye to spread, and staining for a predetermined period of time; and image processing: photographing the sample using an inverted fluorescence microscope and processing the image using image processing software to obtain the fluorescently stained area. The method uses acridine orange for staining, resulting in specific staining, clear images, and easy identification of nematocysts. The results can be digitized. This method is rapid, simple to use, and highly operational, making it easy to screen for jellyfish sting protective coatings.

The invention belongs to the technical field of environmental analysis instruments and intelligent detection, and discloses a water sample micro-plastic detection device based on fluorescent staining and an AI algorithm, an integrated micro-fluidic chip is adopted to replace a traditional pretreatment process, and online digestion and fluorescence labeling of a water sample are automatically completed through a sequential injection analysis flow path; the configured high-sensitivity fluorescence imaging module can capture feature images of the micro-plastics; a built-in lightweight multi-scale feature fusion network model can identify and count micro-plastic targets, output quantity, particle size distribution and morphological parameters in real time. According to the invention, full-process automation from sample input to result output is realized, the problems of tedious pretreatment, high manual dependency and difficulty in on-site rapid quantification in the prior art are solved, and an efficient technical means is provided for water environment micro-plastic pollution monitoring.

The present invention discloses an optimization method for microscopic counting of free viruses in farmland soil, which belongs to the field of biological test technology. The method conducts experiments from several aspects, including instrument selection, parameter setting, soil sample usage, and key influencing factors of microscopic observation in soil virus extraction experiments, analyzes the effects of the ratio of farmland soil samples to virus extracts, different oscillating instruments and parameter settings, and anti-fluorescence quenchers and anti-fading solutions on soil virus extraction efficiency and microscopic counting in microscopic observation, and optimizes the process of microscopic counting of free viruses in farmland soil based on the analysis results. The present invention can start from the instrument selection and parameter setting, soil sample usage, and key influencing factors in microscopic observation in soil virus extraction, and propose an operating procedure suitable for fluorescent staining-microscopic counting of farmland soil viruses, which can provide a feasible technical reference for subsequent quantitative analysis of soil viruses and research on infection modes.

The application discloses a method for constructing a cell membrane fusion model induced by a novel coronavirus-like particle, and belongs to the technical field of biology. The method comprises the following steps: constructing a virus-like particle containing a SARS-CoV-2 spike protein gene and an RNA packaging sequence PS9, using HEK-293T cells as packaging cells, co-expressing structural proteins M, E, N and S protein, and realizing assembly of VLPs without replication ability. Subsequently, the VLPs are used to infect immortalized type II alveolar epithelial cells, S protein expression is induced and cell-cell membrane fusion is mediated without the need of BSL-3 laboratory conditions. The formation of fused giant cells can be directly observed through ZO-1 protein immunofluorescence staining, the model is stable, has high biological safety, and is repeatable in vitro. The application overcomes the safety risk of live virus infection and the authenticity problem of a transient transfection model, can be used for research on a SARS-CoV-2 virus membrane fusion mechanism, and has a good application prospect.

The invention relates to an application of glycyrrhizic acid-curcumin micelles in preparation of a medicine for treating deafness caused by gentamicin, and in the application, the glycyrrhizic acid-curcumin micelles are prepared from the following raw material medicines in percentage by weight: 66-89% of ammonium glycyrrhizinate and 11-34% of curcumin. According to the application, the glycyrrhizic acid-curcumin micelle can obviously improve hearing function impairment caused by drugs and obviously increase the fluorescent staining area of hair cells, and the effect of treating deafness caused by gentamicin is obvious.

The invention belongs to the technical field of fiber materials, and particularly relates to a sequential bidirectional drainage-cooling integrated material with a sandwich structure as well as a preparation method and application of the sequential bidirectional drainage-cooling integrated material. The material is composed of an upper hydrophobic antibacterial drainage layer capable of guiding liquid in one direction, a middle hydrophilic cooling layer and a lower hydrophobic antibacterial drainage layer capable of guiding liquid in one direction. According to the invention, the sequential bidirectional liquid guiding-cooling integrated material with a sandwich structure is successfully prepared through an electrohydrodynamic atomization technology; the liquid guiding performance of the upper hydrophobic antibacterial drainage layer and the lower hydrophobic antibacterial drainage layer is clearly observed by means of fluorescent dyeing in combination with a static contact angle measuring instrument. The material disclosed by the invention not only can guide away liquid between finger seams, chelidonium and abdominal folds, but also shows an obvious cooling effect, and the skin temperature can be reduced by 6.7 DEG C to the minimum extent. Meanwhile, vertical guide and separation of wound exudate are achieved, the excessive edema symptom of wound tissue is effectively relieved, and wound healing is achieved through antibiosis, anti-inflammation, vascularization promotion and collagen deposition promotion.

The invention relates to the field of microbiological detection, and discloses a sample culture-free efficient identification kit and a detection process, the sample culture-free efficient identification kit comprises a staining reagent, a scattering calibration and inhibition reagent, a quality control reagent and consumables, the staining reagent is a multi-target fluorescent chromosome system, and the scattering calibration and inhibition reagent is a scattering calibration and inhibition reagent. The scattering calibration and inhibition reagent is used for double-scattering signal calibration and scattering noise inhibition, the quality control reagent is used for validity verification of a detection result, and the consumable is used for adaptive imaging detection. Through cooperative adaptation of a staining reagent, a scattering calibration and inhibition reagent, a quality control reagent and consumables, microorganism multi-target specific marking can be realized by means of a multi-target fluorescent chromosome system without depending on microorganism culture, and scattering signal interference is eliminated by combining the scattering calibration and inhibition reagent so as to guarantee the accuracy of detection signals. The validity of a detection result is verified through a quality control reagent, so that rapid identification and characterization of microorganisms in a complex sample matrix are realized.