MATISSE：一种将成像质谱细胞术与荧光显微镜相结合以生成单细胞数据的分析方案。
MATISSE: An analysis protocol for combining imaging mass cytometry with fluorescence microscopy to generate single-cell data.
机构信息
Molecular Cancer Research, Center for Molecular Medicine, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands.
Center for Translational Immunology, University Medical Center Utrecht, Utrecht University, 3584 CX Utrecht, the Netherlands.
出版信息
STAR Protoc. 2021 Dec 15;3(1):101034. doi: 10.1016/j.xpro.2021.101034. eCollection 2022 Mar 18.
Exploring tissue heterogeneity on a single-cell level by imaging mass cytometry (IMC) remains challenging because of its limiting resolution. We previously demonstrated that combining higher resolution fluorescence with IMC data in the analysis pipeline resulted in high-quality single-cell segmentation. Here, we provide a step-by-step workflow of this MATISSE pipeline, including instructions regarding the staining procedure, and the analysis route to generate single-cell data. For complete details on the use and execution of this protocol, please refer to Baars et al., 2021.
通过成像质谱细胞术（IMC）在单细胞水平上探索组织异质性仍然具有挑战性，因为其分辨率有限。我们之前证明，在分析管道中结合更高分辨率的荧光和 IMC 数据可得到高质量的单细胞分割。在此，我们提供了这个 MATISSE 管道的分步工作流程，包括有关染色程序和生成单细胞数据的分析路径的说明。有关使用和执行此方案的完整详细信息，请参见 Baars 等人，2021 年。
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