39 results about "Quantitative fluorescence" patented technology

The invention relates to the technical field of biomedical analysis instruments, and discloses a DNA quantitative fluorometer calibration system based on artificial intelligence optimization, which comprises a data acquisition module for acquiring a dynamic fluorescence characteristic spectrum for representing the whole process of fluorescence reaction; and an intelligent calibration and diagnosis core model in the data processing unit analyzes the spectrogram by using a long short-term memory network and an attention mechanism so as to generate a multi-dimensional diagnosis result containing predicted concentration, confidence score and interference early warning. According to the method, the dynamic fluorescence characteristic spectrum of the standard substance is used as a scene anchor point, the preset global basic model is finely adjusted, and the special session model is generated, so that the real-time self-adaptive calibration of the change of the instrument and the reagent is realized. According to the method, the defects that a traditional method depends on an end point value, is easily interfered and is static in calibration are overcome, and the accuracy, reliability and long-term stability of a DNA quantitative result are remarkably improved.

The invention relates to the technical field of water quality detection, and provides a fluorescence detection test paper visualization system and method based on deep learning, and the method comprises the steps: detecting a fluorescence detection test paper image obtained through shooting through a target detection network, and obtaining a test paper main body region, a colorimetric block region and a test paper key angular point coordinate; performing homographic perspective transformation on the main body area of the test paper according to the key angular point coordinates of the test paper, generating a test paper standard view after perspective correction, performing color space standardization correction, generating a mixed deep learning model, and outputting a fluorescence intensity concentration predicted value of the target detection area; generating an interpretable thermodynamic diagram based on the intermediate features of the mixed deep learning model; according to the method, shooting deviation is eliminated through multi-stage image correction, the fluorescence intensity is accurately quantified by fusing CNN and Transform models, the result credibility is improved in combination with a thermodynamic diagram, and the detection automation is comprehensively improved.

The application discloses a method for identifying the dispersion mode of oil and gas through a cap layer, and relates to the technical field of oil and gas reservoirs. The technical scheme is as follows: selecting a rock sample, carrying out particle fluorescence testing, and obtaining a parameter QGF-E representing the content of hydrocarbon adsorbed on the outside of a mineral particle and a parameter QGF-index representing the content of hydrocarbon in the inside of the mineral particle; identifying the dispersion mode of oil and gas through the cap layer according to the relationship between QGF-E and QGF-index, wherein if QGF-E is positively correlated with QGF-index, it indicates that the dispersion mode of oil and gas through the cap layer is slow percolation; and if QGF-index basically remains unchanged with the increase of QGF-E, it indicates that the dispersion mode of oil and gas through the cap layer is episodic rupture. The analysis and testing data obtained through the quantitative fluorescence testing of the cap layer are used to distinguish the dispersion mode of oil and gas through the cap layer by using the quantitative fluorescence data of the cap layer, so that the dispersion mode of oil and gas through the cap layer can be accurately identified, and the problems of randomness and multiple solutions in the prior art can be effectively avoided.

The present application belongs to the technical field of petroleum geological exploration and analysis, and particularly relates to a single-period oil inclusion composition analysis method based on crude oil inclusions. The present application combines fluorescence microscopic observation and quantitative fluorescence analysis methods, can accurately determine the diameter of oil inclusions, determine the appropriate grinding mesh, and identify the period of oil inclusions in the microscopic observation stage, and provides clear basis for the subsequent experimental process. The analysis of the present application covers the differential processing method of oil inclusions in calcite and quartz minerals, can efficiently and completely perform group composition pretreatment on oil inclusion-containing particles, is convenient to operate, has good reproducibility, and provides reliable technical support for revealing the oil and gas charging history and restoring the reservoir forming process. The present application adopts a crushing device equipped with a low-cost, large-capacity closed zirconium oxide grinding tank, realizes synchronous crushing of multiple samples on the basis of optimizing experimental equipment, and significantly improves the sample processing flux and experimental efficiency.

The invention discloses a crude oil Re-Os dating sample screening method based on a quantitative fluorescence spectrum, and belongs to the technical field of oil and gas accumulation process characterization of deep petroliferous basins in petroleum and natural gas geological exploration. According to the technical scheme, the method comprises the following steps: comparing quantitative fluorescence main peak wavelength lambda max data of the oil inclusion in a crude oil sample and a reservoir rock sample of the same well, and if the fluorescence main peak wavelength lambda max of the crude oil sample can be matched with a certain peak value in a statistical histogram of the fluorescence main peak wavelength lambda max of the oil inclusion of the reservoir rock sample, keeping the fluorescence main peak wavelength lambda max; if the main fluorescence peak wavelength lambda max of the crude oil sample cannot be matched with any peak value in the statistical histogram of the main fluorescence peak wavelength lambda max of the oil inclusion of the reservoir rock sample, the crude oil sample is screened out, and the crude oil sample subjected to secondary screening is obtained. The method is applied to the aspect of crude oil Re-Os dating sample screening, and the problem that in the prior art, systems of Re-Os isotope dating sample screening methods suitable for the multi-stage filling mixed background are not enough is solved.

The application discloses a PCR device with controllable amplification speed and a construction method and application thereof. First, a glue powder is uniformly mixed and dissolved; second, the mixed solution is uniformly mixed with DNA polymerase; and finally, the reaction is heated to form glue. The application is universal in ordinary PCR and real-time quantitative fluorescent PCR and does not change the original device. When the application is applied to real-time quantitative fluorescent PCR, the amplification speed is monitored, the CT value is finally calibrated, and the detection accuracy is improved. When the application is applied to ordinary PCR, the amplification speed is regulated, the cycle period of reaching the amplification platform is prolonged, and the sensitivity of detecting and analyzing the initial template concentration based on the final amplification DNA concentration is improved.

A method is provided to simultaneously identify and quantify critical structure attributes (CSAs) in proteoforms or proteoform families that includes the steps of:1. injecting a sample into a reagent stream of one or more detection enhanced molecular recognition reagents;2. incubating the combined sample:reagent(s) during migration through an analytical platform the causes molecular recognition reagent(s) to be sequestered by a specific critical structure attribute (CSA) in the analyte to form a luminon (An:*Sas) complex;3. using a sequestron selector in the reagent stream to overtake the luminon complex in a down-stream size exclusion chromatography (SEC) column to achieve mixing and formation of an Nc˜Pas:An:*Sas, Pas:An:*Sas, or *Pas:An:*Sas sequestome complex;4. resolving this sequestome complex from any unbound affinity selector(s) such as *Sas or *Pas, and non-analytes in the SEC column;5. transporting the resolved sequestome complex into a flow-through detection means that detects and quantifies CSAs in fluorescent labeled *Sas or *Pas bearing luminon or sequestome complex to generate data for the construction of critical structure attribute ratio plots as a function of elapsed fermentation time.

The invention belongs to the technical field of animal pathogen molecular biology, and particularly relates to a dual quantitative fluorescent primer probe composition, a kit and an identification method for identifying hog cholera virus. Aiming at the current popular strains covering 3 genotypes, 11 gene subtypes and the like of the hog cholera gene, the invention selects 5UTR and NS3 gene sequences of hog cholera virus to design and synthesize specific primers and probes aiming at the two fragments; the specific primer has no non-specific amplification on African swine fever virus, pseudorabies virus, porcine reproductive and respiratory syndrome virus, porcine circovirus type II, porcine epidemic diarrhea and bovine viral diarrhea. The invention establishes a method for identifying the classical swine fever virus wild strain and the vaccine strain and develops a kit convenient for diagnosis, and the kit and the identification method can simultaneously identify the classical swine fever virus wild strain and the vaccine strain, have the characteristics of high sensitivity, strong specificity, good repeatability and good stability, and have extremely strong application prospects.

The invention relates to the technical field of oil exploration, in particular to a three-dimensional quantitative fluorescent logging method which comprises the following steps: acquiring and preprocessing solid samples (well wall coring, well drilling coring and rock debris) and liquid samples (drilling fluid additives and drilling fluid), and acquiring fluorescence data after mathematical statistics; and combining the fluorescence data to calculate the oil concentration and the contrast level, judging the property of the crude oil and calculating the oiliness index, finally identifying the property of the reservoir fluid according to the oiliness index and the contrast level parameter, and determining whether the reservoir fluid is a gas layer, an oil layer, a same oil-water layer, a water layer or a dry layer by means of a two-dimensional interpretation chart and the like. According to the invention, the technical effect of effectively and accurately identifying the reservoir fluid properties in geological exploration is achieved.

The application discloses a kind of liver disease treatment gene target and drug.The liver function and liver tissue of Ndufa7 gene knockout mouse are detected and analyzed by the present application, and it is found that knockout Ndufa7 gene will cause abnormal liver function of mouse, liver tissue is damaged, and it is found that the expression of Ndufa7 gene can be induced by real-time quantitative fluorescence PCR to induce the occurrence of non-alcoholic fatty liver disease, and Ndufa7 gene can be used as liver disease treatment gene target to develop liver disease treatment drug.In addition, the present application finds that the survival rate of cell under the stimulation of oleic acid can be improved by overexpressing Ndufa7 gene in cell, and oleic acid is a common reagent for inducing non-alcoholic fatty liver cell model, i.e.overexpression Ndufa7 gene can prevent or improve liver disease, and can be used as liver disease treatment drug.The present application fully proves that Ndufa7 is involved in the occurrence of liver disease, and is beneficial to the development of drug for preventing, improving or treating liver disease.

The present application relates to the technical field of oil reservoir engineering, and is a method for calculating oil saturation of a horizontal section of a pilot hole converted into a horizontal well, which comprises: obtaining equivalent oil contents of light oil, medium oil and heavy oil in a horizontal section of a pilot hole converted into a horizontal well; determining an oiliness index of the horizontal section; and calculating the oil saturation of the horizontal section according to the equivalent oil contents of the light oil, the medium oil and the heavy oil and the oiliness index. The present application obtains the equivalent oil contents of the light oil, the medium oil and the heavy oil and the oiliness index of the horizontal section based on quantitative fluorescence logging technology, determines the oil saturation of the horizontal section, realizes fast and accurate acquisition of the oil saturation distribution of the horizontal section of the horizontal well, and provides a scientific basis for oilfield exploration and development and selection of fractured well sections.

The present invention relates to a Fiber1 gene-based quantitative fluorescence detection method for fowl aviadenoviruses, belonging to the technical field of animal medical tests. The method uses designed primers and probes in combination with a specific reaction system and reaction conditions to detect fowl aviadenoviruses. The method is fast and effective, and has excellent detection sensitivity. By means of the method, fowl aviadenovirus detection and monitoring can be performed periodically, which helps to formulate effective prevention, control and eradication measures in a timely manner, so as to block large-area outbreaks of Angara disease in fowls, thus laying a foundation for prevention, control and eradication of Angara disease in fowls.

The invention discloses a calibration method of a nucleic acid quantitative fluorometer, which adopts a methylene blue aqueous solution with stable chemical property as a standard substance to replace a biological nucleic acid reagent, and verifies the optical performance of the nucleic acid quantitative fluorometer by constructing a linear response relationship of a chemical standard substance. The method comprises the following steps: preparing a methylene blue mother solution and a gradient calibration solution, and carrying out light-shielding standing and thermodynamic stabilization treatment; collecting a fluorescence signal by using a nucleic acid quantitative fluorometer to construct a standard curve; selecting a verification sample for reverse measurement, and calculating an indication error, a channel range and measurement repeatability; and finally, judging whether the calibration result is qualified or not through hierarchical logic including linear validity verification and metrological characteristic subentry verification. The problems that an existing RNA kit is high in calibration cost, poor in linearity and unstable in result are solved, and the method has the advantages of being low in cost, easy and convenient to operate, high in result confidence coefficient and the like.

The invention discloses a method for detecting ligustrazine by using a fluorescent probe, the probe is a Tb-EDTA complex, and is formed by coordination of Tb < 3 + > and ethylenediamine tetraacetic acid; based on a fluorescent quantitative analysis method, the probe is used as a recognition element, and the ligustrazine content in a liquor sample is detected. The probe is formed by coordination of Tb < 3 + > and EDTA (ethylene diamine tetraacetic acid), and a charge transfer (LMCT) process from a ligand to metal is regulated and controlled by utilizing a specific coordination effect between ligustrazine (TMP) and a Tb < 3 + > center, so that fluorescence quenching at 548 nm and new fluorescence peak enhancement at 650 nm of the probe are caused, and ratio type response is formed. The probe is simple to prepare and good in stability, and has a wide linear detection range (0.1-40 [mu] mol / L), a low detection limit (0.038 [mu] mol / L) and excellent selectivity on TMP. The probe is successfully applied to quantitative detection of TMP in complex actual samples such as soy sauce type white spirit, sake and urine, the recovery rate is high, repeatability is good, and a new powerful tool is provided for food flavor analysis and biological medicine monitoring.

The invention belongs to the technical field of petroleum geological exploration and analysis, and particularly relates to a single-stage oil inclusion component analysis method based on a crude oil inclusion. According to the present invention, with the combination of the fluorescence microscopic observation and the quantitative fluorescence analysis, the diameter of the oil inclusion can be accurately determined in the microscopic observation stage, the suitable grinding mesh number can be determined, the stage of the oil inclusion can be identified, and the clear basis can be provided for the subsequent experiment process; according to the differential treatment method for analyzing the oil inclusion in the calcite and quartz minerals, group component pretreatment can be efficiently and completely carried out on the oil-containing inclusion particles, operation is convenient and fast, reproducibility is good, and reliable technical support is provided for revealing the oil and gas filling history and recovering the reservoir forming process. By adopting the crushing device which is low in cost and high in capacity and is sealed with the zirconium oxide grinding tank, synchronous crushing of a plurality of samples is realized on the basis of optimizing experimental equipment, and the sample treatment flux and the experimental efficiency are remarkably improved.

The embodiment of the invention provides an oil and gas display method and device, electronic equipment and a storage medium. According to the method, influence degree analysis is carried out by utilizing a gas logging result, a three-dimensional quantitative fluorescence analysis result and a fluorescent drop illumination image, and a judgment standard under the condition that a stratum is displayed and not displayed is established, so that the accuracy of oil and gas display under the condition of synthetic base drilling fluid is ensured; according to the method, the technical problem that in the prior art, due to the influence of synthetic base drilling fluid, the accuracy of oil and gas display on a drilling site is low is solved, quality improvement, speed increase and efficiency improvement of engineering are facilitated, and the requirements of exploration and development are better met.

This invention provides a fluorescence detection device, comprising: a sample tube support and a fluorescence detection structure. The sample tube support is capable of supporting multiple linearly arranged sample tubes to be tested. The fluorescence detection structure includes at least one set for quantitative fluorescence detection of the substance to be tested in the sample tubes. Compared with the prior art, this invention has the following advantages: by setting up a fluorescence detection structure, detection is performed based on the principle of fluorescence excitation within the substance, avoiding the influence of interfering substances contained in the substance in the traditional ultraviolet absorbance method, resulting in more accurate detection results and higher detection sensitivity, thus filling the gaps in the ultraviolet absorbance method.

The application discloses a kind of illumination light field correction method and system for quantitative fluorescence resonance energy transfer microscopic imaging, its method includes the following steps: S1, establishing image non-uniformity correction model;S2, dark field signal distribution function is determined;S3, background signal distribution function and background correction coefficient are determined;S4, foreground signal distribution function and foreground correction coefficient are determined;S5, steps S2-S4 are repeated to obtain the dark field, background and foreground signal distribution function of FRET three channels and background and foreground correction coefficient;S6, based on image non-uniformity correction model, the non-uniformity of live cell FRET three channel fluorescence image is corrected using the signal distribution function and correction coefficient determined.The application does not need to repeat preparation reference sample, only needs to be determined once to be able to effectively correct the illumination non-uniformity in microscopic imaging system, and the ratio between FRET three channel image gray can be kept, so that while greatly improving the amount of data in single frame large field of view image, the accuracy of quantitative FRET measurement is guaranteed.

This invention provides a synergist that enhances the toxicity of pesticides against the oriental fruit fly (Bactrocera dorsalis). This synergist downregulates the expression levels of the oriental fruit fly genes CPAP3-5, CPLCG-4, or RR1-52, thereby increasing the toxicity of insecticides to the oriental fruit fly. Transcriptomic and quantitative fluorescence methods revealed that downregulating the expression of these genes in the oriental fruit fly significantly enhances the toxicity of insecticides. Therefore, downregulating the expression of key epidermal protein genes in the insect's body wall, thereby promoting the effectiveness of insecticides, can effectively reduce the amount of chemical pesticides used, lower pesticide residues and environmental pressure, aligning with the development direction of green agriculture.

This invention provides a quantitative fluorescence detection method and kit for miRNA based on CRISPR-Cas13a trans-cleavage. The detection method involves forming a double-stranded complex between the target miRNA and a specific crRNA, activating the trans-nuclease activity of the Cas13a protein, non-specifically cleaving a fluorescently labeled RNA reporter molecule, and releasing a fluorescent signal. Quantitative detection of miRNA is achieved by real-time monitoring of fluorescence intensity and combining it with a standard curve. This detection method eliminates the need for reverse transcription and PCR amplification, completing the detection within 20 to 40 minutes at a constant temperature of 37°C; the detection sensitivity reaches 0.1 fM, with a linear range of 0.1 fM–100 pM; it can distinguish single-base differences; and it is suitable for detecting various trace samples such as plasma, tissue, and cells. This invention provides a new technical solution for rapid and accurate miRNA detection, with broad application prospects in early tumor diagnosis and treatment monitoring.

The invention discloses a single-molecule fluorescence image denoising and quantifying method based on adaptive deep learning (ADeL-SM), and aims to solve the problems that the signal-to-noise ratio of an image is low in a single-molecule imaging process, quantitative information is damaged by a traditional denoising method and the like. According to the method, on the premise that external training data is not needed, a pseudo training pair is constructed through image sequence time averaging, a fluorescence intensity keeping mechanism and a self-feedback optimization strategy are introduced based on a neural network of an improved U-Net structure, a deep neural network model is trained, and image denoising enhancement is achieved. According to the method, the signal-to-noise ratio and positioning precision of the single-molecule image can be remarkably improved, quantitative information of fluorescence intensity is reserved, and the method is suitable for various single-molecule imaging platforms and biological research scenes and can be widely applied to biological quantitative imaging tasks such as membrane protein positioning, aggregation recognition and trajectory analysis.

A method is provided to simultaneously identify and quantify critical structure attributes (CSAs) in proteoforms or proteoform families that includes the steps of:1. injecting a sample into a reagent stream of one or more detection enhanced molecular recognition reagents;2. incubating the combined sample:reagent(s) during migration through an analytical platform the causes molecular recognition reagent(s) to be sequestered by a specific critical structure attribute (CSA) in the analyte to form a luminon (An:*Sas) complex;3. using a sequestron selector in the reagent stream to overtake the luminon complex in a down-stream size exclusion chromatography (SEC) column to achieve mixing and formation of an Nc˜Pas:An:*Sas, Pas:An:*Sas, or *Pas:An:*Sas sequestome complex;4. resolving this sequestome complex from any unbound affinity selector(s) such as *Sas or *Pas, and non-analytes in the SEC column;5. transporting the resolved sequestome complex into a flow-through detection means that detects and quantifies CSAs in fluorescent labeled *Sas or *Pas bearing luminon or sequestome complex to generate data for the construction of critical structure attribute ratio plots as a function of elapsed fermentation time.

The invention discloses a dual fluorescent quantitative PCR (Polymerase Chain Reaction) detection method for an infectious bursal disease virus strain, and belongs to the technical field of strain detection. The invention establishes a dual fluorescent quantitative PCR (Polymerase Chain Reaction) detection method capable of identifying the Lx strain and the Lx Mut422 strain of the infectious bursal disease through one-time PCR. Comprising the following steps: designing a specific primer and a fluorescence labeling probe according to a specific gene sequence of the infectious bursal disease virus; preparing a PCR (Polymerase Chain Reaction) amplification reaction system, and carrying out fluorescent quantitative PCR amplification by taking the RNA of the sample to be detected as a template; and detecting a fluorescence signal of an amplification product, and specifically detecting the Lx strain and the Lx Mut422 strain of the infectious bursal disease. According to the detection method provided by the invention, high sensitivity of a PCR technology and accuracy of a fluorescent quantitative technology are combined, and rapid and accurate identification of the Lx strain and the Lx Mut422 strain of the infectious bursal disease can be realized.

The invention relates to the field of biological medicine, and discloses a tsRNA biomarker for diagnosing chronic graft versus host disease and application of the tsRNA biomarker, the tsRNA biomarker is used for preparing a product for diagnosing chronic graft versus host disease, the tsRNA biomarker is tsRNA-Ala, the sequence of the tsRNA biomarker is shown as SEQ ID NO.1, the product can be a real-time quantitative fluorescence PCR detection kit, and the tsRNA biomarker can be used for diagnosing chronic graft versus host disease. The kit comprises a primer pair for detecting tsRNA-Ala in serum, and the sequence of the primer pair is as shown in SEQ ID NO.2 and SEQ ID NO.3. By accurately detecting the change of the tsRNA expression profile, the molecular mechanism of diseases can be disclosed more comprehensively, so that a scientific basis is provided for the preparation of clinical diagnosis products.

This invention relates to the field of oil and gas logging technology, and provides a three-dimensional quantitative fluorescence method for evaluating reservoir oil and gas in oil-based logging. The method comprises the following steps: Step S1, taking cuttings samples from the target formation of the oil well under oil-based drilling fluid conditions, and cleaning and drying the samples; Step S2, weighing 0.01g to 0.05g of cuttings samples, and using a three-dimensional fluorescence spectrometer to detect and analyze the samples, collecting spectra and detection data; Step S3, inputting the excitation wavelength, emission wavelength, and corresponding oil content data of the main peaks of the background and reservoir cuttings into a three-dimensional coordinate space to obtain a three-dimensional fluorescence data projection map of the background and reservoir cuttings. This invention establishes a three-dimensional quantitative fluorescence method for evaluating reservoir oil and gas contaminated by oil-based drilling fluid, reducing the impact of oil-based drilling fluid on oil and gas evaluation from the source of analysis. The method is convenient and effective, enriching the interpretation means of oil-based logging.

A method of the present disclosure, among others, involves illuminating a tissue sample with light across both a visible wavelength range and a near-infrared wavelength range, wherein the tissue sample has been administered with at least one fluorescent agent; acquiring a snapshot image of the tissue sample, wherein pixels of the snapshot image capture different 2D views of the tissue sample at a same time along with multiple wavelengths of light incident on a respective sensor pixel; creating a hyperspectral image cube of the tissue sample from the snapshot image; performing spectrally-resolved quantitative fluorescence measurements on the hyperspectral image cube; analyzing the spectrally-resolved quantitative fluorescence measurements to detect a presence of at least one fluorescent agent in the tissue sample; and / or identifying an optical fingerprint of an abnormal region of the tissue sample based on the detected at least one fluorescent agent in the tissue sample.

Disclosed herein are devices, systems, related methods, computing devices, and computer-readable media relating to cell sorting by embedding using a real-time cell sorter. For example, in some embodiments, a method may include receiving first cell sorter data. A first cell sorter data meter may include cell sorter data including microscope data, hyperspectral imaging data, multispectral data, high dimensional vector data, or one or more combinations thereof. In some embodiments, the cell sorter data may include quantitative fluorescence data representative of one or more antibodies bound per cell, antibody binding capacity (ABC), equivalent soluble fluorescent dye molecules (MESF), one or more other fluorescent quantitative indicators, or one or more combinations thereof. In some embodiments, the quantitative fluorescence data comprises one or more fluorescence signals: one or more fluorescent proteins, one or more fluorescent dyes, one or more fluorescently labeled antibodies, or one or more combinations thereof.

The invention relates to the technical field of biochemical analysis, and discloses a DNA quantitative fluorometer intelligent calibration method based on real-time data feedback, and the method comprises the following steps: obtaining initial calibration parameters; entering a self-adaptive measurement stage, before each unknown sample is measured, evaluating the instantaneous drift rate of the system based on the collected data, if the rate exceeds a preset threshold value, introducing a measurement delay time before the measurement is executed, and recording an accurate timestamp and temperature for each measurement; after all the samples are measured, entering a global post-processing stage, and performing global parameter optimization on a system drift model considering time and temperature effects at the same time by using all the data points; and finally, calculating an exclusive dynamic correction parameter for each sample based on the optimized model, and solving the final correction concentration. According to the invention, composite drift caused by photobleaching and heat effect can be effectively compensated, and the accuracy and reliability of continuous quantitative analysis of multiple samples are remarkably improved.

The invention provides a drug screening method and device based on a blood-brain barrier injury model and a medium, and the method comprises the steps: collecting experimental metadata and biological sample measurement data of the blood-brain barrier injury model, the experimental metadata comprises an identifier of a candidate drug, an animal identifier, a body weight, an Evans blue injection volume, circulation time, perfusion time and a sampling position, and the biological sample measurement data comprises a brain tissue weight and a fluorescence intensity measurement value; converting the biological sample measurement data into a quantitative index of blood brain barrier leakage, wherein the quantitative index is the Evans blue leakage amount per gram of brain tissue; and generating a prediction effect of the candidate drugs according to experimental metadata and the quantitative indexes. The blood-brain barrier leakage can be rapidly and accurately evaluated through Evans blue staining and fluorescent quantitative technologies.