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线粒体形态的自动定量分析

Automated Quantitative Analysis of Mitochondrial Morphology.

作者信息

Bosch Anna, Calvo Maria

机构信息

Scientific and Technological Centers (CCiTUB), Universitat de Barcelona, Barcelona, Spain.

Advanced Optical Microscopy Facility, Scientific and Technological Centers of University of Barcelona, University of Barcelona, Barcelona, Spain.

出版信息

Methods Mol Biol. 2019;2040:99-115. doi: 10.1007/978-1-4939-9686-5_6.

Abstract

Mitochondria are dynamic organelles that in most cells behave as a dynamic network and can change their biogenesis and structure depending on the cell needs or as a response to different conditions. Analyzing the architecture of mitochondria is determinant to describe their state and function. In this chapter, image processing techniques are applied in a workflow manner to segment the mitochondrial network and extract the most relevant parameters that enable an accurate morphology analysis. This workflow is programmed with ImageJ macro language and can be applied to automatically analyze multiple cells from multiple images or tiles. When combined with multiwell plates and automated microscopy, this method may allow to perform high content image analysis of hundreds of cells under different conditions.

摘要

线粒体是动态细胞器,在大多数细胞中表现为动态网络,并且可以根据细胞需求或作为对不同条件的反应改变其生物合成和结构。分析线粒体的结构对于描述其状态和功能至关重要。在本章中,图像处理技术以工作流程的方式应用于分割线粒体网络并提取能够进行准确形态分析的最相关参数。此工作流程使用ImageJ宏语言进行编程,可应用于自动分析来自多个图像或切片的多个细胞。当与多孔板和自动显微镜结合使用时,该方法可能允许对不同条件下的数百个细胞进行高内涵图像分析。

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