Method and device for detecting artificial tissues and organoids

Abstract

The invention discloses a method and a device for detecting artificial tissues and organoids. According to the method, artificial tissue and organ-like segmentation is realized by using an artificial tissue and organ-like segmentation deep learning network, and an artificial tissue and organ-like region three-dimensional image is obtained; the label adopts a contrast-enhanced image; calculating morphological indexes and ATP (adenosine triphosphate) values of artificial tissues and organoids in each culture hole of the corresponding culture plate in the last day of culture according to the connected domain; performing standardization processing on the morphological indexes of the artificial tissues and the organoids and the ATP numerical values to construct a matrix, and calculating a covariance matrix; performing singular value decomposition on the covariance matrix to obtain a right singular matrix and a singular value matrix; and main components are extracted according to the variance contribution rate, and artificial tissue and organoid comprehensive indexes are obtained. The comprehensive indexes of the artificial tissue and the organoid are used for researching the curative effect of the medicine.

Description

technical field [0001] The invention belongs to the field of detection of artificial tissues and organs, in particular to an OCT-based detection method and device for artificial tissues and organoids. Background technique [0002] Artificial tissues and organoids are 3D cell complexes formed by self-assembly driven by human-derived cells or stem cells, which can simulate the structure and function of human organs, and can be used for optimal screening of drugs, pathological exploration, etc., in artificial tissues and In the process of organoid culture or drug screening of artificial tissues and organoids with specific physiological structures, the morphological indicators of artificial tissues or organoids are closely related to their functional status. Through high-resolution continuous morphological observation, artificial tissues or organoids can be detected. Growth status of organoids. However, due to the small characteristic morphological structure of artificial tissu...

AI Technical Summary

Problems solved by technology

However, due to the small characteristic morphological structure of artificial tissues and organoids, there is no obvious difference with the surrounding medium. With the prolongation of culture time, the change of the characteristic morphological structure cannot be observed with the naked eye. Therefore, it is necessary to segment and quantify the characteristic morphological structure Comparing the growth of artificial tissues and organoids to study the effect of a drug on a disease

[0003] Traditional detection methods are invasive, such as stained histology, fluorescence microscopy, bright field microscopy, etc., but cannot evaluate the real state of cells, and do not have volume structure imaging capabilities, and cannot quantify volume morphological characteristics, because such methods detect artificial Quantitative analysis of tissues or organoids is based on planar information or approximates artificial tissues or organoids as spheres or ellipsoids. However, the growth of organoids is irregular, which will cause large errors

At the same time, such methods have limited imaging penetration depth, making it difficult to perform deep tissue imaging.

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