Antineoplastic drug evaluation and screening method based on cell microscopic image information

Abstract

The invention provides the appraisal and selective method for the antineoplastic drug based on the cell micrograph information, which uses a sort of selection and appraisal hardware system to appraisal and select the antineoplastic drug by different fluorescence dye marking and measuring the multicellular parameter change in cell. The hardware system is made up of the high precision electric hydrous platform, the fluorescence vision system, the image collecting and processing system and working station. The diacetoxyl fluoresceine dyeing measures the active cell number; the double dyeing method of Hoechst33342 and iodized pyridine appraise the drug inducing the cell die; the three dyeing method of FDA, Hoechst33342 and PI analyzes the die mode induced by drug. The invention can measure at least two kinds of single cell or cell subgroup which expresses different drone cell organ. The method is in reason and can be used in study of drug action mechanism and selecting the high hedonic drug and toxicity analyzing, which can be used in selecting drug and appraising the drug toxicity.

Description

technical field [0001] The invention belongs to the field of drug screening methods, and relates to the application of automatic technology of cell microscopic image information, optical marking and optical measurement technology to record cell images in a porous plate, and to obtain indicators for screening and evaluating anti-tumor compounds by analyzing image information. Background technique [0002] Cancer seriously threatens people's health, among which lung cancer, liver cancer, breast cancer, and leukemia are several cancers with high incidence rates. Lung cancer has become the largest cancer in my country, and its morbidity and mortality are increasing most rapidly. The incidence of liver cancer is second only to lung cancer, and the incidence of liver cancer in some areas is increasing year by year. About 260,000 patients die of liver cancer every year in the world, and nearly 100,000 in my country. Statistics show that the incidence of breast cancer in almost all...

AI Technical Summary

Problems solved by technology

At present, MTT and SRB methods are the most common and commonly used cytotoxicity test methods. Many researchers have adopted this method for drug screening. However, these methods have defects such as slow speed, poor sensitivity, and low degree of automation. The need for throughput drug screening

Other methods for cytotoxicity detection include HPLC detection, isotope labeling detection, and flow cytometry, etc. These methods have disadvantages such as cumbersome means, radioactive contamination, and limited applicable cell types.

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