Organoid activity evaluation method and system based on microscopic image

Abstract

The invention provides an organoid activity evaluation method and system based on microscopic images. The method comprises the following steps: acquiring microscopic images of a series of organoids; carrying out artificial type judgment on the organoid, then carrying out organoid frame selection and one-by-one activity scoring, taking a scoring result as a training set of an organoid activity evaluation model, and training the organoid activity evaluation model by adopting the training set; and performing automatic vitality scoring on a microscopic image by using the trained organoid vitality evaluation model, outputting the score of each organoid, and summarizing and weighting the score. The system comprises a microscopic image acquisition device; an organoid activity evaluation device, which is connected with the microscopic image acquisition device, and comprises an organoid target detection module, an organoid feature extractor and a scoring module; and a communication device. According to the method, manpower, material resources and time cost can be greatly saved, the method is not influenced by subjective scoring, and long-term, uniform, accurate and stable scoring is obtained.

Description

technical field [0001] The invention belongs to the technical field of biomedicine, and in particular relates to a method and system for evaluating the viability of organoids based on microscopic images. Background technique [0002] Organoids are three-dimensional cell complexes that are structurally and functionally similar to target organs or tissues and have stable phenotypic and genetic characteristics. , which can be cultured in vitro for a long period of time, reproduces two events that occur in vivo in organoids during its formation, namely, the sorting and aggregation of the same kind of cells in an adhesive manner and the spatially specific cell lineage commitment. Compared with the traditional 2D cell culture model, 3D cultured organoids contain a variety of cell types, breaking through the simple physical contact between cells, forming a closer biological communication between cells, and inter-cell interaction, induction, feedback, and cooperation Developing and...

AI Technical Summary

Problems solved by technology

[0003] The existing organoid evaluation system is generally based on manual observation, and there are human errors. There is no systematic evaluation system, which is greatly influenced by subjectivity. For example, experimenter A thinks an organoid is highly active, while experimenter B It is considered that the activity of such organs is average; only a few evaluation systems are also based on the significant difference between before and after comparison of organoids under the condition of toxicity or dosing, which does not really eliminate the phenomenon of inconsistency in human evaluation

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