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NuMorph: Tools for cortical cellular phenotyping in tissue-cleared whole-brain images.
- Source :
-
Cell reports [Cell Rep] 2021 Oct 12; Vol. 37 (2), pp. 109802. - Publication Year :
- 2021
-
Abstract
- Tissue-clearing methods allow every cell in the mouse brain to be imaged without physical sectioning. However, the computational tools currently available for cell quantification in cleared tissue images have been limited to counting sparse cell populations in stereotypical mice. Here, we introduce NuMorph, a group of analysis tools to quantify all nuclei and nuclear markers within the mouse cortex after clearing and imaging by light-sheet microscopy. We apply NuMorph to investigate two distinct mouse models: a Topoisomerase 1 (Top1) model with severe neurodegenerative deficits and a Neurofibromin 1 (Nf1) model with a more subtle brain overgrowth phenotype. In each case, we identify differential effects of gene deletion on individual cell-type counts and distribution across cortical regions that manifest as alterations of gross brain morphology. These results underline the value of whole-brain imaging approaches, and the tools are widely applicable for studying brain structure phenotypes at cellular resolution.<br />Competing Interests: Declaration of interests O.K. is currently employed at Scribe Therapeutics.<br /> (Copyright © 2021 The Author(s). Published by Elsevier Inc. All rights reserved.)
- Subjects :
- Animals
Cell Nucleus metabolism
Cerebral Cortex metabolism
DNA Topoisomerases, Type I deficiency
DNA Topoisomerases, Type I genetics
Gene Deletion
Genes, Neurofibromatosis 1
Image Processing, Computer-Assisted
Mice, Knockout
Neuroglia metabolism
Neurons metabolism
Phenotype
Support Vector Machine
Mice
Cell Nucleus pathology
Cerebral Cortex pathology
Histocytological Preparation Techniques
Nerve Degeneration
Neuroglia pathology
Neuroimaging
Neurons pathology
Subjects
Details
- Language :
- English
- ISSN :
- 2211-1247
- Volume :
- 37
- Issue :
- 2
- Database :
- MEDLINE
- Journal :
- Cell reports
- Publication Type :
- Academic Journal
- Accession number :
- 34644582
- Full Text :
- https://doi.org/10.1016/j.celrep.2021.109802