NuMorph: tools for cellular phenotyping in tissue cleared whole brain images
Oleh Krupa, Giulia FragolaiD, Ellie Hadden-FordiD, Jessica T. Mory, Tianyi LiuiD, Zachary Humphrey, Benjamin W. ReesiD, Ashok Kumar KrishnamurthyiD, William D. Snider, Mark J. ZylkaiD, Guorong Wu AiD, Lei XingiD, Jason L. SteiniD
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 image analysis tools to quantify all nuclei and nuclear markers within the mouse cortex after tissue clearing and imaging by a conventional light-sheet microscope. We applied NuMorph to investigate two distinct mouse models: a Topoisomerase 1 (Top1) conditional knockout model with severe neurodegenerative deficits and a Neurofibromin 1 (Nf1) conditional knockout model with a more subtle brain overgrowth phenotype. In each case, we identified 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 3D whole brain imaging approaches and the tools are widely applicable for studying 3D structural deficits of the brain at cellular resolution in animal models of neuropsychiatric disorders.
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