Special Section on Light for Life: International Year of Light 2015

Towards a comprehensive understanding of brain machinery by correlative microscopy

[+] Author Affiliations
Anna Letizia Allegra Mascaro, Ludovico Silvestri, Leonardo Sacconi

University of Florence, European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino 50019, Italy

National Research Council, National Institute of Optics, Largo Fermi 6, Firenze 50125, Italy

Francesco S. Pavone

University of Florence, European Laboratory for Non-Linear Spectroscopy, Via Nello Carrara 1, Sesto Fiorentino 50019, Italy

University of Florence, Department of Physics and Astronomy, Via Sansone 1, Sesto Fiorentino 50019, Italy

International Center for Computational Neurophotonics (ICON) Foundation, Via Nello Carrara 1, Sesto Fiorentino 50019, Italy

J. Biomed. Opt. 20(6), 061105 (Mar 06, 2015). doi:10.1117/1.JBO.20.6.061105
History: Received October 28, 2014; Accepted February 12, 2015
Text Size: A A A

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 in vivo 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.

Figures in this Article
© 2015 Society of Photo-Optical Instrumentation Engineers

Citation

Anna Letizia Allegra Mascaro ; Ludovico Silvestri ; Leonardo Sacconi and Francesco S. Pavone
"Towards a comprehensive understanding of brain machinery by correlative microscopy", J. Biomed. Opt. 20(6), 061105 (Mar 06, 2015). ; http://dx.doi.org/10.1117/1.JBO.20.6.061105


Tables

Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.