4 results about "Liver Stem Cell" patented technology

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 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.