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A multimodal imaging and analysis pipeline for creating a cellular census of the human cerebral cortex

Costantini, I.; Morgan, L.; Yang, J.; Balbastre, Y.; Varadarajan, D.; Pesce, L.; Scardigli, M.; Mazzamuto, G.; Gavryusev, V.; Castelli, F. M.; Roffilli, M.; Silvestri, L.; Laffey, J.; Raia, S.; Varghese, M.; Wicinski, B.; Chang, S.; Chen I-Chun, A.; Wang, H.; Cordero, D.; Vera, M.; Nolan, J.; Nestor, K.; Mora, J.; Iglesias, J. E.; Pallares, E. G.; Evancic, K.; Augustinack, J.; Fogarty, M.; Dalca, A. V.; Frosch, M.; Magnain, C.; Frost, R.; van der Kouwe, A.; Chen, S.-C.; Boas, D. A.; Pavone, F. S.; Fischl, B.; Hof, P. R.

2021-10-21 neuroscience
10.1101/2021.10.20.464979 bioRxiv
Show abstract

Cells are not uniformly distributed in the human cerebral cortex. Rather, they are arranged in a regional and laminar fashion that span a range of scales. Here we demonstrate an innovative imaging and analysis pipeline to construct a reliable cell census across the human cerebral cortex. Magnetic resonance imaging (MRI) is used to establish a macroscopic reference coordinate system of laminar and cytoarchitectural boundaries. Cell counting is obtained with both traditional immunohistochemistry, to provide a stereological gold-standard, and with a custom-made inverted confocal light-sheet fluorescence microscope (LSFM) for 3D imaging at cellular resolution. Finally, mesoscale optical coherence tomography (OCT) enables the registration of the distorted histological cell typing obtained with LSFM to the MRI-based atlas coordinate system.

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