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用于分析发育中 T 细胞中线粒体含量的动态分析流水线:弥合高通量流式细胞术和单细胞显微镜分析之间的差距。

A Pipeline for Dynamic Analysis of Mitochondrial Content in Developing T Cells: Bridging the Gap Between High-Throughput Flow Cytometry and Single-Cell Microscopy Analysis.

机构信息

Bioimaging and Data Analysis Lab, Department of Chemical Engineering, Indian Institute of Technology Hyderabad, Sangareddy, Telangana, India.

Optical Science Centre, Faculty of Science, Engineering & Technology, Swinburne University of Technology, Hawthorn, Australia.

出版信息

Methods Mol Biol. 2024;2800:167-187. doi: 10.1007/978-1-0716-3834-7_12.

Abstract

Analyzing the dynamics of mitochondrial content in developing T cells is crucial for understanding the metabolic state during T cell development. However, monitoring mitochondrial content in real-time needs a balance of cell viability and image resolution. In this chapter, we present experimental protocols for measuring mitochondrial content in developing T cells using three modalities: bulk analysis via flow cytometry, volumetric imaging in laser scanning confocal microscopy, and dynamic live-cell monitoring in spinning disc confocal microscopy. Next, we provide an image segmentation and centroid tracking-based analysis pipeline for automated quantification of a large number of microscopy images. These protocols together offer comprehensive approaches to investigate mitochondrial dynamics in developing T cells, enabling a deeper understanding of their metabolic processes.

摘要

分析发育中的 T 细胞中线粒体含量的动态变化对于理解 T 细胞发育过程中的代谢状态至关重要。然而,实时监测线粒体含量需要在细胞活力和图像分辨率之间取得平衡。在本章中,我们介绍了使用三种模式测量发育中的 T 细胞中线粒体含量的实验方案:通过流式细胞术进行批量分析、在激光扫描共聚焦显微镜中进行体积成像,以及在旋转盘共聚焦显微镜中进行动态活细胞监测。接下来,我们提供了一种基于图像分割和质心跟踪的分析管道,用于自动量化大量显微镜图像。这些方案共同提供了研究发育中的 T 细胞中线粒体动态变化的综合方法,有助于深入了解它们的代谢过程。

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