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Silvestri L, Paciscopi M, Soda P, et al. Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis. Front Neuroanat. 2015;9:68doi: 10.3389/fnana.2015.00068.
Silvestri, L., Paciscopi, M., Soda, P., Biamonte, F., Iannello, G., Frasconi, P., & Pavone, F. S. (2015). Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis. Frontiers in neuroanatomy, 968. https://doi.org/10.3389/fnana.2015.00068
Silvestri, Ludovico, et al. "Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis." Frontiers in neuroanatomy vol. 9 (2015): 68. doi: https://doi.org/10.3389/fnana.2015.00068
Silvestri L, Paciscopi M, Soda P, Biamonte F, Iannello G, Frasconi P, Pavone FS. Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis. Front Neuroanat. 2015 May 27;9:68. doi: 10.3389/fnana.2015.00068. eCollection 2015. PMID: 26074783; PMCID: PMC4445386.
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Front Neuroanat. 2015 May 27;9:68. doi: 10.3389/fnana.2015.00068. eCollection 2015.

Quantitative neuroanatomy of all Purkinje cells with light sheet microscopy and high-throughput image analysis.

Frontiers in neuroanatomy

Ludovico Silvestri, Marco Paciscopi, Paolo Soda, Filippo Biamonte, Giulio Iannello, Paolo Frasconi, Francesco S Pavone

Affiliations

  1. National Institute of Optics, National Research Council Sesto Fiorentino, Italy ; European Laboratory for Non-Linear Spectroscopy Sesto Fiorentino, Italy.
  2. Department of Information Engineering, University of Florence Florence, Italy.
  3. Department of Engineering, University Campus Bio-Medico of Rome Rome, Italy.
  4. Institute of Histology and Embryology, Catholic University of the Sacred Heart "A. Gemelli", Rome Italy.
  5. European Laboratory for Non-Linear Spectroscopy Sesto Fiorentino, Italy.
  6. National Institute of Optics, National Research Council Sesto Fiorentino, Italy ; European Laboratory for Non-Linear Spectroscopy Sesto Fiorentino, Italy ; Department of Physics and Astronomy, University of Florence Sesto Fiorentino, Italy ; International Center for Computational Neurophotonics Sesto Fiorentino, Italy.

PMID: 26074783 PMCID: PMC4445386 DOI: 10.3389/fnana.2015.00068

Abstract

Characterizing the cytoarchitecture of mammalian central nervous system on a brain-wide scale is becoming a compelling need in neuroscience. For example, realistic modeling of brain activity requires the definition of quantitative features of large neuronal populations in the whole brain. Quantitative anatomical maps will also be crucial to classify the cytoarchtitectonic abnormalities associated with neuronal pathologies in a high reproducible and reliable manner. In this paper, we apply recent advances in optical microscopy and image analysis to characterize the spatial distribution of Purkinje cells (PCs) across the whole cerebellum. Light sheet microscopy was used to image with micron-scale resolution a fixed and cleared cerebellum of an L7-GFP transgenic mouse, in which all PCs are fluorescently labeled. A fast and scalable algorithm for fully automated cell identification was applied on the image to extract the position of all the fluorescent PCs. This vectorized representation of the cell population allows a thorough characterization of the complex three-dimensional distribution of the neurons, highlighting the presence of gaps inside the lamellar organization of PCs, whose density is believed to play a significant role in autism spectrum disorders. Furthermore, clustering analysis of the localized somata permits dividing the whole cerebellum in groups of PCs with high spatial correlation, suggesting new possibilities of anatomical partition. The quantitative approach presented here can be extended to study the distribution of different types of cell in many brain regions and across the whole encephalon, providing a robust base for building realistic computational models of the brain, and for unbiased morphological tissue screening in presence of pathologies and/or drug treatments.

Keywords: Purkinje cells; brain imaging; cerebellum; image analysis; light sheet microscopy; quantitative neuroanatomy

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