14 results about "Mean fluorescence intensity" patented technology

The embodiment of the invention relates to the technical field of drug detection, in particular to an anti-CD38 antibody drug receptor occupation detection method and system, a peripheral blood sample is used for preparing a single-cell suspension, the single-cell suspension is divided into a TEST tube and an FMO tube, a cell surface antibody and an RO detection antibody are added into the TEST tube, only the cell surface antibody is added into the FMO tube, and only the RO detection antibody is added into the FMO tube. The TEST tube and the FMO tube are subjected to sample detection analysis, so that the average fluorescence intensity of RO detection antibodies of the TEST tube and the FMO tube is obtained. And performing RO detection analysis by adopting a dissociation method, taking the tubes which are not combined with the medicine as a total receptor group, taking the tubes which are combined with the medicine as a dissociation receptor group, and calculating an RO detection result according to the average fluorescence intensity of the TEST tube and the FMO tube.

The invention relates to the technical field of pathological diagnosis, in particular to a tumor grading detection system based on holoproteome cysteine reactivity analysis, which comprises an in-situ labeling module, an in-situ detection module and an in-situ detection module, the histological separation module is used for carrying out molecular weight layering separation on the labeled tumor protein and counting the fluorescence signal intensity of each layer; the processing and analysis module is used for constructing a proteome-level cysteine reactivity map with position resolution capability; the tumor grading module is used for carrying out normalization processing on the average fluorescence intensity of each layer and the highest signal layer to obtain normalized intensity T, drawing a component specificity risk curve by taking the number of layers as a horizontal coordinate, and recording the area under the curve as the normalized intensity T as TSI; the TSI is in positive correlation with the tumor malignancy degree and serves as the basis of tumor grading. The method can accurately diagnose a tumor positive area, and the specificity and the sensitivity are both 100%.

This invention provides a method for processing photovoltaic (PV) module EL images and calculating module power attenuation. The method involves capturing EL images of the PV module using a CCD camera (black and white images); converting the black and white images into a heatmap using image processing software; qualitatively observing light changes in the EL image within the heatmap; adding a standard ruler to the heatmap to directly compare light intensity in different areas of the EL image to determine the basic performance of the PV module; calculating the average fluorescence intensity of the Red Hot heatmap; and converting the fluorescence intensity data into PV module power attenuation data to determine the PV module's performance. This method allows for a direct, qualitative, and quantitative assessment of the basic performance of PV modules.

Systems and methods for fluorescence sensitivity monitoring in a flow cytometer include measuring fluorescence of a sheath fluid to determine a sheath noise and setting a threshold detection value using the sheath noise. Fluorescence of a plurality of samples having predetermined fluorescence intensities at different wavelengths is measured, using the threshold detection value. Each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths is gated and, using the gating, a mean fluorescence intensity (MFI) is identified for each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths. One or more fluorescence channels of the flow cytometer are calibrated by calculating, for each sample of the plurality of samples having predetermined fluorescence intensities at different wavelengths, molecules of equivalent soluble fluorochrome (MESF) using the MFI and the sheath noise.

The invention relates to the technical field of flow cytometry performance detection, and discloses a flow cytometry fluorescence channel linearity and sensitivity batch detection method, which comprises: establishing a corresponding relationship between a batch number and an equivalent soluble fluorescent molecule value; performing effective data screening of overall scattered light on the detection data; selecting a plurality of fluorescence channels needing to be detected, determining a circular processing sequence, performing peak searching and region segmentation on data of each fluorescence channel in sequence, and screening data of each region; calculating statistical parameters of each region, and carrying out linear regression calculation until all fluorescence channels are processed; and based on a linear regression result, calculating a correlation coefficient of an optimal fitting straight line as the linearity of each fluorescence channel, substituting a region with the minimum average fluorescence intensity into a linear equation to calculate the sensitivity, carrying out multi-channel collaborative analysis, and outputting a detection result. According to the invention, fluorescence channel performance detection of a large batch of flow cytometers can be rapidly completed.

A method for diagnosing a disease in a subject, in particular a hematological malignancy or a solid tumor, comprising the steps of: isolating (21, 61) an extracellular vesicle precipitate (3a, 3b) obtained from a sample (2) of a biological fluid previously taken from the subject; measuring (31, 41, 51-52), from said precipitation, parameters representative of six biomarkers: (I) the size of the extracellular vesicles; (II) the total amount of extracellular vesicles; (III) an amount of extracellular vesicles expressing the first antigen on their own surface and (IV) an amount of extracellular vesicles expressing the first antigen and the second antigen; (V) an average fluorescence intensity for each of the antigens; and (VI) the nucleic acid content of the extracellular vesicles; first comparing a parameter representative of the biomarker with a corresponding critical value; based on the first comparison step, assigning a partial score to each parameter or to the six biomarkers; calculating a final score, namely the score of the subject, as the sum of the partial scores; a second comparison of the final score with at least one predetermined diagnostic threshold, preferably with two diagnostic thresholds, an upper diagnostic threshold and a lower diagnostic threshold; based on the second comparison step, a probabilistic diagnosis of the lesion is estimated. Under the background of personalized medical treatment, the combination of the six biomarkers overcomes the limitation of the prior art method caused by high clinical heterogeneity between subjects, which is specifically embodied in sensitivity to a given lesion; in other words, a certain biomarker, not other biomarkers, selected from the six biomarkers and related parameters of the biomarkers are different.

This invention relates to a rapid screening method for bone-repairing surface structures, belonging to the field of bone repair materials technology. It aims to solve the technical problems of low efficiency and low individual / group adaptability of traditional screening methods. This invention constructs a titanium dioxide nanotube array with a continuous gradient diameter of 0-200 nm using a four-electrode bipolar electrochemical method. Immunofluorescence staining of key bone repair factors BMP-2, RUNX2, OPN, and OCN, combined with panoramic scanning analysis, is used to normalize the average fluorescence intensity of each of the four factors and then sum them to obtain a comprehensive osteogenic coefficient. Based on this coefficient, the optimal bone-repairing surface structure corresponding to bone marrow mesenchymal stem cells (BMSCs) from different age groups or different pathological conditions (such as osteoporosis, osteoarthritis, etc.) can be precisely located. This invention achieves high-throughput screening covering multiple surface structures in a single experiment, providing an efficient technical path for the precise and personalized design of bone repair materials, and has significant clinical translational value.

This invention discloses a method for electroporation culture of dendritic cells (DCs), comprising the following steps: On day 0, PBMC suspension is seeded into a T175 culture flask, and a first culture medium (including basal medium, rhGM-CSF, IL-4, and VC components) is added and the flask is placed in an incubator for culture; On day 3, the first culture medium is added again and culture continues; On day 5, the culture medium in the culture flask is aspirated, and a second culture medium (including basal medium, rhGM-CSF, IL-4, IL-6, TNF-α, IL-1β, and VC) is added; On day 7, the cells are transferred to an electroporation cuvette, electroporation buffer is added, electroporation is performed, and then the second culture medium is added again and culture continues; On day 10, culture is stopped, the cells are collected, centrifuged, and the supernatant is removed to obtain DCs. Electroporation followed by culture significantly increases the viability of mature DCs, reaching approximately 90%; the mean fluorescence intensity (MFI) of mature DCs is significantly increased (up to 10⁴²¹), and the antigen expression level of DCs is good.

Methods for quantifying surface markers on extracellular vesicles are provided. Aspects of the methods include comparing the mean fluorescence intensity of a surface marker of interest (surface marker MFI) of a labeled extracellular vesicle (EV) sample to a calibration curve obtained from a liposome calibration composition to quantify the surface marker on the extracellular vesicles of the EV sample. Compositions for practicing embodiments of the invention are also provided.

The embodiment of the invention provides an organic carbon concentration detection method, electronic equipment and a storage medium, and the method comprises the following steps: collecting fluorescence spectrum data of a detected sewage sample at a plurality of preset time nodes in a process of degrading dissolved organic matters in the detected sewage sample by microorganisms; respectively calculating a first average fluorescence intensity of the fluorescence spectrum data in a first region corresponding to the first preset excitation wavelength range and the first preset emission wavelength range and a second average fluorescence intensity of the fluorescence spectrum data in a second region corresponding to the second preset excitation wavelength range and the second preset emission wavelength range; and calculating the BDOC concentration or AOC concentration of the detected sewage sample based on the first average fluorescence intensity, the second average fluorescence intensity and a multiple linear regression equation between the BDOC concentration or AOC concentration and the first average fluorescence intensity and the second average fluorescence intensity. The embodiment of the invention has high detection sensitivity on BDOC concentration or AOC concentration and is simple and convenient to operate.

This invention relates to the field of biomedical technology, and provides CD177. + Application of granulocyte subsets in the preparation of kits for the auxiliary diagnosis of tuberculosis. The CD177... + Granulocyte subsets include CD177 + Neutrophils and CD177 + Low-density granulocytes; the kit detects CD177. + The proportion of neutrophil-positive cells and CD177 + The mean fluorescence intensity of low-density granulocytes aids in the diagnosis of tuberculosis. This invention utilizes CD177. + Granulocyte subsets, as biomarkers, play an important role in auxiliary diagnosis, disease activity monitoring, and improving diagnostic efficiency. Based on CD177... + The proportion of neutrophil-positive cells, CD177 + By using the mean fluorescence intensity of low-density granulocytes, the ratio of neutrophils to lymphocytes, the ratio of platelets to lymphocytes, and the systemic inflammatory index, a predictive model for the auxiliary diagnosis of tuberculosis can be constructed. This model can more accurately identify true tuberculosis patients and effectively exclude non-patients, reducing the risk of misdiagnosis and missed diagnosis.

The application discloses a method for high-throughput screening of compounds promoting degradation of mitochondria of inflammatory microglia cells, and belongs to the technical field of biological medicine screening. The method comprises the following steps: stimulating microglia cells to establish a mitochondrial accumulation model by using an inflammation inducer; adding a candidate drug and the inflammation inducer into the cells for incubation; adding a mitochondria-specific fluorescent probe for dark staining; detecting the average fluorescence intensity of the cells by using flow cytometry; and taking the fluorescence intensity of a positive control group as a baseline, if the average fluorescence intensity of a candidate drug treatment group is significantly reduced, it is indicated that the compound has the activity of promoting degradation of mitochondria of inflammatory microglia cells. The method can realize high-throughput, rapid and objective quantitative screening, is suitable for large-scale drug screening, and provides an effective tool for developing drugs for relieving neural inflammation.

The invention provides an intelligent corn sorting method based on aflatoxin fluorescence detection and image recognition, and relates to the technical field of corn sorting. Obtaining a visible light image to determine a visible light position and an appearance boundary of the corn; acquiring a fluorescence image and determining a fluorescence position; and accurately matching the visible light image with the fluorescence image to ensure that the same corn is accurately associated. The effective fluorescence area is determined through the corn appearance boundary, the maximum fluorescence intensity and the average fluorescence intensity are calculated, and the mildew degree of the single corn is evaluated more accurately. The adjacent distance, the fluorescence intensity difference and the change of the average fluorescence intensity at the continuous time are judged, the fluorescence intensity measurement deviation caused by interference of the adjacent corn is recognized and corrected, whether the corn is mildewed or not is judged based on comparison of the corrected maximum fluorescence intensity and a preset threshold value, and if yes, the corn is mildewed. And a control instruction is generated to drive the sorting actuator to carry out rejection, so that non-contact, high-efficiency and high-precision real-time online sorting is realized.

The application discloses a method and device for screening and gating and grouping based on multiple protein flow data. The method comprises the following steps: reading sample flow data files and corresponding kit configuration information to obtain original data and gating and grouping parameters; the original data is a matrix of all cell sampling events of the sample files; obtaining original binary data under the gating channel coordinates, removing invalid data after twice screening to obtain screened gating channel data; obtaining a gating convex polygon and grouping data; obtaining binary data of a report fluorescence channel ReportX and a classification fluorescence channel ClassifyY after gating and grouping, and grouping to obtain factor grouping of the sample files; and performing statistical calculation on the factor grouping data of the sample files to obtain factor microsphere numbers and average fluorescence intensities. The application can automatically pre-process and screen multiple protein flow data, remove impurity data, more accurately retain effective data, automatically gate and group the screened data, and obtain results through statistical analysis.