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Whole-Brain Single-Cell Imaging and Analysis of Intact Neonatal Mouse Brains Using MRI, Tissue Clearing, and Light-Sheet Microscopy.
Kyere, Felix A; Curtin, Ian; Krupa, Oleh; McCormick, Carolyn M; Dere, Mustafa; Khan, Sarah; Kim, Minjeong; Wang, Tzu-Wen Winnie; He, Qiuhong; Wu, Guorong; Shih, Yen-Yu Ian; Stein, Jason L.
Afiliação
  • Kyere FA; UNC Neuroscience Center, University of North Carolina, Chapel Hill; Department of Genetics, University of North Carolina, Chapel Hill.
  • Curtin I; UNC Neuroscience Center, University of North Carolina, Chapel Hill; Department of Genetics, University of North Carolina, Chapel Hill.
  • Krupa O; UNC Neuroscience Center, University of North Carolina, Chapel Hill; Department of Genetics, University of North Carolina, Chapel Hill.
  • McCormick CM; UNC Neuroscience Center, University of North Carolina, Chapel Hill; Department of Genetics, University of North Carolina, Chapel Hill.
  • Dere M; Department of Psychiatry, University of North Carolina, Chapel Hill.
  • Khan S; Department of Psychiatry, University of North Carolina, Chapel Hill; Department of Computer Science, The University of North Carolina at Greensboro.
  • Kim M; Department of Computer Science, The University of North Carolina at Greensboro.
  • Wang TW; Center for Animal Magnetic Resonance Imaging, The University of North Carolina at Chapel Hill; Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill; Department of Neurology, The University of North Carolina at Chapel Hill.
  • He Q; Center for Animal Magnetic Resonance Imaging, The University of North Carolina at Chapel Hill; Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill; Department of Neurology, The University of North Carolina at Chapel Hill.
  • Wu G; Department of Psychiatry, University of North Carolina, Chapel Hill.
  • Shih YI; Center for Animal Magnetic Resonance Imaging, The University of North Carolina at Chapel Hill; Biomedical Research Imaging Center, The University of North Carolina at Chapel Hill; Department of Neurology, The University of North Carolina at Chapel Hill.
  • Stein JL; UNC Neuroscience Center, University of North Carolina, Chapel Hill; Department of Genetics, University of North Carolina, Chapel Hill; jason_stein@med.unc.edu.
J Vis Exp ; (186)2022 08 01.
Article em En | MEDLINE | ID: mdl-35969091
ABSTRACT
Tissue clearing followed by light-sheet microscopy (LSFM) enables cellular-resolution imaging of intact brain structure, allowing quantitative analysis of structural changes caused by genetic or environmental perturbations. Whole-brain imaging results in more accurate quantification of cells and the study of region-specific differences that may be missed with commonly used microscopy of physically sectioned tissue. Using light-sheet microscopy to image cleared brains greatly increases acquisition speed as compared to confocal microscopy. Although these images produce very large amounts of brain structural data, most computational tools that perform feature quantification in images of cleared tissue are limited to counting sparse cell populations, rather than all nuclei. Here, we demonstrate NuMorph (Nuclear-Based Morphometry), a group of analysis tools, to quantify all nuclei and nuclear markers within annotated regions of a postnatal day 4 (P4) mouse brain after clearing and imaging on a light-sheet microscope. We describe magnetic resonance imaging (MRI) to measure brain volume prior to shrinkage caused by tissue clearing dehydration steps, tissue clearing using the iDISCO+ method, including immunolabeling, followed by light-sheet microscopy using a commercially available platform to image mouse brains at cellular resolution. We then demonstrate this image analysis pipeline using NuMorph, which is used to correct intensity differences, stitch image tiles, align multiple channels, count nuclei, and annotate brain regions through registration to publicly available atlases. We designed this approach using publicly available protocols and software, allowing any researcher with the necessary microscope and computational resources to perform these techniques. These tissue clearing, imaging, and computational tools allow measurement and quantification of the three-dimensional (3D) organization of cell-types in the cortex and should be widely applicable to any wild-type/knockout mouse study design.
Assuntos

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento Tridimensional Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Encéfalo / Imageamento Tridimensional Limite: Animals Idioma: En Ano de publicação: 2022 Tipo de documento: Article