7 results about "Liver Stem Cell" patented technology

The invention discloses a bovine liver organoid culture medium and a bovine liver three-dimensional organoid culture method, and belongs to the technical field of cell culture. The bovine liver organoid culture medium comprises a bovine liver cell amplification culture medium and a bovine liver cell differentiation amplification culture medium. The three-dimensional organoid culture method comprises the following steps: dissociating bovine liver tissues by using a liver dissociation solution, and then incubating by using a red blood cell lysis buffer solution to obtain primary liver cells; preparing a bovine liver stem cell suspension from matrigel and the primary liver cells, planking, performing inverted culture to enable the matrigel to form a dome shape, performing upright culture, and sequentially performing multiplication culture through a bovine liver cell amplification culture medium and differentiation culture through a bovine liver cell differentiation amplification culture medium. According to the method disclosed by the invention, efficient acquisition, amplification and directional differentiation of the bovine liver primary cells are realized by customizing the culture medium, optimizing the cell separation process and adopting a 3D culture technology, and the blank of a large economic animal disease research model is filled.

The invention discloses an effect evaluation method and system for combined treatment of diabetes by liver stem cells and intestinal flora, and relates to the technical field of medical data processing. According to the method, quality detection is carried out on liver stem cell suspension and intestinal flora suspension before treatment, in-vivo liver stem cell and intestinal flora detection is carried out periodically during treatment, and subsequent metabolic influence detection, diabetes related index detection, risk probability identification and adjuvant therapy scheme determination are carried out. The whole process from before treatment to during treatment is accurately evaluated, the quality of substances used for treatment is ensured, the state of in-vivo treatment components is mastered in time, the metabolic influence and the treatment effect are accurately judged, risks are effectively identified, and a targeted auxiliary treatment scheme is provided; the problems that comprehensive and dynamic evaluation of liver stem cell and intestinal flora combined treatment is lacked in traditional diabetes treatment effect evaluation, and treatment quality, in-vivo conditions, metabolic influences, treatment effects and potential risks cannot be accurately judged in time can be solved.

This invention relates to the field of cell image analysis and biological cell screening technology, and discloses a method for screening liver stem cells. The method includes: acquiring original images; performing effective image screening; performing background correction, noise reduction and enhancement, and contrast compensation; performing single-cell instance segmentation; performing single-cell feature extraction and trajectory association; determining target cells using a neural network model; and outputting the liver stem cell determination result. Compared to existing screening methods that rely on manual observation or single-frame static image discrimination, especially in the case of primary hepatocyte suspensions containing mature hepatocytes, bile duct epithelial cells, stromal cells, and cell debris, this method addresses the technical problem of unstable and automated identification of liver stem cells. This application improves the accuracy and automation of liver stem cell screening by constructing a continuous processing flow of image quality gating, instance segmentation, and dual-branch feature fusion judgment.

The invention discloses a liver stem cell culture method which comprises the following steps: separating to obtain liver tissue cells, inoculating the cells into a culture medium, and culturing to obtain proliferated liver stem cells, and the culture medium comprises dihydromyricetin-7-glucoside and methyl ursolate. According to the application disclosed by the invention, experiments find that efficient in-vitro amplification and high-purity culture of liver stem cells are realized by scientifically compounding dihydromyricetin-7-glucoside, methyl ursolate, ergobenzyl ester, trehalose, EGF (Epidermal Growth Factor), bFGF (Basic Fibroblast Growth Factor), glutamine, albumin, taurine, vitamin C and liver-derived proliferation promoting polypeptide in an RPMI-1640 basal culture medium; and the cell activity of the target cells is effectively maintained.

The application discloses a liver stem cell culture method, which comprises the following steps: obtaining liver tissue cells by separation, inoculating the cells in a culture medium, and obtaining proliferated liver stem cells after culture, wherein the culture medium comprises dihydromyricetin-7-glucoside and ursolic acid methyl ester. Through experiments, it is found that by scientifically compounding dihydromyricetin-7-glucoside, ursolic acid methyl ester, ergotyl, trehalose, EGF, bFGF, glutamine, albumin, taurine, vitamin C and a liver-derived proliferation-promoting polypeptide in an RPMI-1640 basic culture medium, efficient in-vitro expansion and high-purity culture of liver stem cells are realized, and the cell activity of the target cells is effectively maintained.

The application relates to the technical field of cell image analysis and biological cell screening, and discloses a screening method for liver stem cells, wherein the method comprises the following steps: acquiring an original image; performing effective image screening; performing background correction, denoising enhancement and contrast compensation; performing single-cell instance segmentation; performing single-cell feature extraction and trajectory association; combining a neural network model to determine target cells; and outputting a liver stem cell determination result. Compared with the screening mode in the prior art which relies on manual observation or single-frame static image discrimination, especially under the condition that mature liver cells, bile duct epithelial cells, interstitial cells and cell fragments exist simultaneously in a primary liver cell mixed suspension, the technical problem that stable and automatic identification of liver stem cells cannot be realized is solved. Since the continuous processing flow of image quality gating, instance segmentation and double-branch feature fusion determination is constructed, the accuracy and automation degree of liver stem cell screening are improved.