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Journal of Biomedical Optics

Towards a comprehensive understanding of brain machinery by correlative microscopy
Author(s): Anna Letizia Allegra Mascaro; Ludovico Silvestri; Leonardo Sacconi; Francesco S. Pavone
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Paper Abstract

Unraveling the complexity of brain structure and function is the biggest challenge of contemporary science. Due to their flexibility, optical techniques are the key to exploring this intricate network. However, a single imaging technique can reveal only a small part of this machinery due to its inherent multilevel organization. To obtain a more comprehensive view of brain functionality, complementary approaches have been combined. For instance, brain activity was monitored simultaneously on different spatiotemporal scales with functional magnetic resonance imaging and calcium imaging. On the other hand, dynamic information on the structural plasticity of neuronal networks has been contextualized in a wider framework combining two-photon and light-sheet microscopy. Finally, synaptic features have been revealed on previously <italic<in vivo</italic< imaged samples by correlative light-electron microscopy. Although these approaches have revealed important features of brain machinery, they provided small bridges between specific spatiotemporal scales, lacking an omni-comprehensive view. In this perspective, we briefly review the state of the art of correlative techniques and propose a wider methodological framework fusing multiple levels of brain investigation.

Paper Details

Date Published: 6 March 2015
PDF: 7 pages
J. Biomed. Opt. 20(6) 061105 doi: 10.1117/1.JBO.20.6.061105
Published in: Journal of Biomedical Optics Volume 20, Issue 6
Show Author Affiliations
Anna Letizia Allegra Mascaro, European Lab. for Non-linear Spectroscopy (Italy)
Istituto Nazionale di Ottica (Italy)
Ludovico Silvestri, European Lab. for Non-Linear Spectroscopy (Italy)
Istituto Nazionale di Ottica (Italy)
Leonardo Sacconi, European Lab. for Non-linear Spectroscopy (Italy)
Istituto Nazionale di Ottica (Italy)
Francesco S. Pavone, European Lab. for Non-linear Spectroscopy (Italy)
International Center for Computational Neurophotonics (ICON) Foundation (Italy)

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