High-throughput chromosome and cytoskeleton strain flow analyzer and implementation method

Abstract

The invention provides a high-throughput chromosome and cytoskeleton strain flow analyzer and an implementation method. The high-throughput chromosome and cytoskeleton strain flow analyzer comprises a sample introduction device, a micro-fluidic chip, a light source module, an imaging device and a control analysis module, wherein the sample introduction device is used for introducing a liquid sample into the micro-fluidic chip; the micro-fluidic chip is used for conveying cells carried by a liquid sample in a single-cell arrangement manner and pushing the cells to pass through a limiting structure; the light source module is used for emitting corresponding wave band laser to the cytoskeleton and chromosome DNA coloring agent of the single cells to obtain single cell fluorescence information; the imaging device is used for carrying out dynamic imaging on the part of the single cells passing through the limiting structure of the micro-fluidic chip; and the control analysis module is positioned right above the imaging device, and is used for identifying and determining a dynamic fluorescence image in which a cytoskeleton and a chromosome in a cell nucleus in the single cell image are extruded by the limiting structure to deform, and analyzing and counting the strain form and structural characteristics of the cytoskeleton and the chromosome in the cell nucleus.

Description

technical field [0001] The invention relates to the technical field of single cell detection related to tumors and blood diseases, in particular to a high-throughput cytoskeleton and chromosome strain flow cytometry analyzer and an implementation method for single cell typing detection in liquid samples. Background technique [0002] At present, as a single-cell classification and diagnostic instrument in a liquid environment, the most common device is flow cytometry, which can detect different tumor cells through the specific markers of tumor cells. However, flow cytometry measures The required instrument is expensive and depends on the fluorescent staining effect of the characteristic markers of different tumor types, which limits its application in the sorting and detection of various tumor cells. At the same time, when the number of samples increases, the limitations of flow cytometry Spectra can overlap and confound measurements. Hematological tumors, like other cancers...

AI Technical Summary

Problems solved by technology

In addition, clarifying the classification of tumor cells in blood samples and analyzing the heterogeneous evolution process of tumor cells will help to find a sensitive window for clinical treatment, provide a new and effective way for precise clinical diagnosis and treatment of tumors, and provide reference for other tumor treatments. It has very important clinical significance. The currently reported detection techniques for tumor cell typing are mainly divided into methods relying on the specific affinity of antibodies to tumor cell surface antigens (including flow cytometry and the CellSearch system for clinical detection of circulating tumor cells). ); and tumor detection methods based on biophysical properties, including the use of microfiltration technology, density gradient centrifugation, capture methods based on electrical polarity or acoustic sensory capture, etc. However, biological detection methods based on antibody antigens are subject to specificity Effect of marker expression

So far, there is still no recognized and universal tumor surface antigen marker, making this type of method prone to false negative results

Detection methods based on cell biophysical properties have low purity of cell capture, insensitivity to heterogeneity between tumor cells in the same tumor patient and tumor cells in different tumor patients, or are greatly affected by environmental factors, and generally The amount is too low, the lack of accuracy in distinguishing different cell subtypes and other shortcomings

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