| First Author | Krupa O | Year | 2021 |
| Journal | Cell Rep | Volume | 37 |
| Issue | 2 | Pages | 109802 |
| PubMed ID | 34644582 | Mgi Jnum | J:328271 |
| Mgi Id | MGI:6881818 | Doi | 10.1016/j.celrep.2021.109802 |
| Citation | Krupa O, et al. (2021) NuMorph: Tools for cortical cellular phenotyping in tissue-cleared whole-brain images. Cell Rep 37(2):109802 |
| abstractText | 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. |
