10 results about "Molecular pathology" patented technology

The invention relates to the technical field of medical equipment, and discloses a slicing device for molecular pathology experiments. The cutting table is arranged on the base, and a cutter is arranged on the cutting table; the protective cover is arranged on the base, a first sliding groove is formed in the protective cover, a first sliding block is arranged in the first sliding groove in a sliding fit mode, a first bearing seat is arranged on the first sliding block, a main rod is rotationally matched with the first bearing seat, the first bearing seat does not limit the axial displacement of the main rod, a mounting head is arranged at one end of the main rod, and a wax block is mounted on the mounting head; the main driving mechanism is used for driving the first sliding block to slide back and forth in the first direction. The first driven mechanism is used for driving the main rod to rotate axially when the main rod moves along with the first sliding block; the second driven mechanism is used for driving the main rod to move in the second direction after the main rod reciprocates for one cycle in the first direction, low-loss and high-integrity cutting can be achieved, and the automatic and accurate feeding function is integrated.

This application relates to the field of molecular pathology diagnostic technology, specifically disclosing a bone marrow smear FISH detection kit and its application. The kit includes a rapid hybridization buffer, a stabilization pretreatment solution, room temperature hybridization probes, probe dilution buffer, low-salt washing buffer, high-salt washing buffer, counterstaining solution, positive control samples, and negative control samples. The room temperature hybridization probes include broken probe pairs targeting the BCR-ABL, PML-RARA fusion genes, and IgH gene rearrangements. The detection method of this kit includes sample pretreatment, probe denaturation, room temperature hybridization, washing and counterstaining, and signal interpretation. Through the synergistic effect of the rapid hybridization buffer and the short-chain low-Tm value probes, rapid hybridization at room temperature is achieved, eliminating the need for a dedicated isothermal hybridization instrument. The stabilization pretreatment solution can complete cell permeation and RNA removal in one step, resulting in a high degree of operational standardization.

The application relates to an experimental method for improving the accuracy of laboratory pollution monitoring and the quality control capability in molecular pathology detection. The method comprises the following steps: preparing a blank wax block without any tissue component while preparing a tissue paraffin-embedded sample to be detected; slicing the tissue paraffin-embedded sample and the blank wax block respectively; extracting nucleic acid of the tissue sample and nucleic acid of the blank wax block respectively; carrying out nucleic acid amplification detection by taking the nucleic acid of the tissue sample as a sample to be detected, taking the nucleic acid of the blank wax block as a negative whole-process control, and combining a positive control; judging the pollution and analyzing the quality control of the whole experimental process according to the detection result of the negative whole-process control of the blank wax block, so that the whole-process pollution risk of molecular pathology detection is continuously monitored. The application has the effects of improving the accuracy of laboratory pollution monitoring, the reliability of experimental results and the whole-process quality control capability of the laboratory.

The invention discloses a multi-photon microscopic image automatic segmentation and regional quantitative feature extraction method based on a weak supervision pseudo label and application thereof. The method is based on lung cancer Hamp; and E, performing multi-photon imaging on the dyed paraffin section, and collecting SHG and TPEF multi-channel high-resolution images. A classification network with ResNet101 as a trunk is adopted, and pixel-level multi-class pseudo labels are generated. And inputting the pseudo tag as a supervision signal into a U-Net segmentation network to complete automatic segmentation of tumor, tumor-related interstitial substance, tumor necrosis and lymphocyte multi-category regions. Based on the segmentation result, multiple quantitative algorithms such as skeletonization, principal axis analysis, branch detection, area and density calculation, fractal and curvature analysis and the like are further integrated, and automatic extraction and standardized statistics of multi-dimensional morphology and spatial distribution characteristics of the target area are achieved. According to the method, the pixel-level manual labeling requirement is greatly reduced, the segmentation precision and the analysis automation level are improved, and the method is suitable for tumor microenvironment, matrix research, molecular pathology auxiliary diagnosis and other scenes.

This application belongs to the field of biomedicine, specifically relating to a method for evaluating the efficacy of Alzheimer's disease treatment based on multimodal data. It includes: constructing a personalized brain network model based on multimodal magnetic resonance imaging to locate hippocampal targets; implementing time-interventional electrical stimulation intervention; simultaneously collecting data from neuropsychological scales, electroencephalograms, event-related potentials, and blood biomarkers at four time points; constructing an efficacy evaluation system by integrating four-dimensional indicators: subjective cognition, objective electrophysiology, molecular pathology, and brain network regulation; and quantifying the intervention effect through principal component analysis and a linear mixed-effects model, and establishing a logistic regression classifier based on baseline features to predict individual response probabilities. This method achieves precise targeted intervention and multi-dimensional dynamic efficacy evaluation, improving the objectivity of the evaluation, the depth of mechanism analysis, and the ability for individualized clinical decision-making.

The invention belongs to the technical field of drug screening, and discloses a tumor therapeutic drug screening method and system.The tumor therapeutic drug screening method comprises the steps that an in-vivo tissue sample of a tumor patient is obtained, synchronous organoid culture is conducted, and an in-vitro organoid culture sample is obtained; performing general pathological evaluation and molecular pathological evaluation on the in-vivo tissue sample to obtain a plurality of basic evaluation results; performing an dry experiment on the in-vitro organoid culture sample by adopting a plurality of target treatment drugs, wherein the target treatment drugs are obtained by primarily screening the in-vivo tissue sample; performing general pathological evaluation, molecular pathological evaluation and in-vitro living cell pathological evaluation on the in-vitro organoid sample in an dry experiment process to obtain a plurality of experiment evaluation results; and analyzing the experimental evaluation result on the basis of the basic evaluation result to obtain a tumor therapeutic drug screening result. And the reliability of tumor therapeutic drug screening results can be improved.

Human skeletal muscle stem cells were generated from facioscapulohumeral muscular dystrophy (FSHD) and healthy control iPSC using a transgene-free skeletal muscle differentiation protocol and production of stable iMyoblasts. Analyses revealed that FSHD and healthy control iMyoblasts are embryonic-like myogenic cells that undergo myotube differentiation ex vivo by growth factor depletion and are efficiently transplantable into the tibialis anterior (TA) muscles of NSG mice, where human muscle under-goes embryonic-to-adult myosin isoform switching. The DUX4 FSHD disease gene maintains its hypomethylated disease state inFSHD iPSC and iMyoblast, and its expression is upregulated during myotube differentiation and in muscle xenografts. Consequently, these iMyoblasts accurately exhibit the molecular pathology of human muscular dystrophies and are useful for the development of drug, gene editing and stem cell therapeutics.

The invention is applicable to the technical field of biological medicines, and provides application of ginsenoside CK in preparation of a medicine for preventing or treating Alzheimer's disease. Experiments prove that the ginsenoside CK can significantly improve the spatial learning and memory ability of AD model animals and relieve anxiety behaviors of the AD model animals; the deposition of brain tissue hippocampal Abeta (1-42) protein is effectively reduced, and the key molecular pathology of AD is relieved from the source; the level of key inflammatory factors in brain tissues and serum is strongly inhibited, and AD-related chronic neuroinflammation is controlled; according to the present invention, the CK has the specific protection effect on the hippocampal neuron structure, such that the CK can be adopted as the multi-target treatment agent so as to prevent and / or treat the Alzheimer's disease.

The application provides an auxiliary decision-making method and device for optimal wax blocks under molecular pathology special examination doctor's orders, and relates to the technical field of molecular pathology detection and medical artificial intelligence. The method comprises the following steps: in response to the order input operation of the user interface, obtaining the identity in the molecular pathology special examination doctor's order, and based on the identity, calling the preset information of a plurality of candidate wax blocks. For each candidate wax block, the missing data in the preset information is compensated and the wax block confidence is generated; based on the compensated data, the detection of multiple indexes is carried out, and the score of each index is generated. The compensated preset information of each candidate wax block is automatically compared, and the conflict information between each candidate wax block is generated; according to the conflict information, the wax block confidence is updated. Based on the score of each candidate wax block and the updated wax block confidence, the multiple candidate wax blocks are graded, and a detection strategy containing the main examination wax block recommendation is generated. The method is used to improve the existing wax block detection accuracy and detection efficiency.