在奥林巴斯ScanR系统上使用人工智能进行和分析基于活细胞成像的小胶质细胞吞噬试验的方案。

Protocol for performing and analyzing a live-cell imaging-based microglia phagocytosis assay using AI on the Olympus ScanR system.

作者信息

Zähringer Alexander, Vinnakota Janaki Manoja, Wertheimer Tobias, Follo Marie, Zeiser Robert

机构信息

Department of Medicine I, Medical Center-University of Freiburg, Faculty of Medicine, Albert-Ludwigs-University Freiburg, Hugstetter Straße 55, Freiburg 79106, Germany.

出版信息

STAR Protoc. 2025 Jul 15;6(3):103846. doi: 10.1016/j.xpro.2025.103846.

DOI:10.1016/j.xpro.2025.103846

PMID:40674220

原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12282420/

Abstract

Various neurological disorders show dysregulation of microglial function, including phagocytosis, necessitating accurate and efficient analysis. Here, we present a protocol using our custom-trained neural network (AIstain) in the Olympus ScanR environment for easy-to-use workflows of microglial phagocytosis assays. We describe steps for preparing microglia and setting up the microscope. We then explain the workflow of live-cell imaging and usage of AI in the data analysis. This protocol facilitates the preparation of phagocytosis assays and improves accuracy in data analysis. For complete details on the use and execution of this protocol, please refer to Zähringer et al..

摘要

多种神经疾病表现出小胶质细胞功能失调，包括吞噬作用，因此需要准确且高效的分析。在此，我们展示一种方案，即在奥林巴斯ScanR环境中使用我们定制训练的神经网络（AIstain）来实现小胶质细胞吞噬作用检测的易用工作流程。我们描述了制备小胶质细胞和设置显微镜的步骤。然后我们解释活细胞成像的工作流程以及人工智能在数据分析中的使用。该方案有助于吞噬作用检测的准备工作，并提高数据分析的准确性。有关此方案使用和执行的完整详细信息，请参考察林格等人的研究。