COMBINe enables automated detection and classification of neurons and astrocytes in tissue-cleared mouse brains.

Autor:	Cai Y; Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC, USA.; Comparative Medicine Institute, North Carolina State University, Raleigh, NC, USA., Zhang X; Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA., Li C; Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC, USA.; Comparative Medicine Institute, North Carolina State University, Raleigh, NC, USA., Ghashghaei HT; Department of Molecular Biomedical Sciences, North Carolina State University, Raleigh, NC, USA., Greenbaum A; Joint Department of Biomedical Engineering, North Carolina State University and University of North Carolina at Chapel Hill, Raleigh, NC, USA.; Comparative Medicine Institute, North Carolina State University, Raleigh, NC, USA.; Bioinformatics Research Center, North Carolina State University, Raleigh, NC, USA.
Jazyk:	angličtina
Zdroj:	Cell reports methods [Cell Rep Methods] 2023 Apr 18; Vol. 3 (4), pp. 100454. Date of Electronic Publication: 2023 Apr 18 (Print Publication: 2023).
DOI:	10.1016/j.crmeth.2023.100454
Abstrakt:	Tissue clearing renders entire organs transparent to accelerate whole-tissue imaging; for example, with light-sheet fluorescence microscopy. Yet, challenges remain in analyzing the large resulting 3D datasets that consist of terabytes of images and information on millions of labeled cells. Previous work has established pipelines for automated analysis of tissue-cleared mouse brains, but the focus there was on single-color channels and/or detection of nuclear localized signals in relatively low-resolution images. Here, we present an automated workflow (COMBINe, Cell detectiOn in Mouse BraIN) to map sparsely labeled neurons and astrocytes in genetically distinct mouse forebrains using mosaic analysis with double markers (MADM). COMBINe blends modules from multiple pipelines with RetinaNet at its core. We quantitatively analyzed the regional and subregional effects of MADM-based deletion of the epidermal growth factor receptor (EGFR) on neuronal and astrocyte populations in the mouse forebrain. Competing Interests: The authors declare no competing interests. (© 2023 The Author(s).)
Databáze:	MEDLINE
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