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Translational Neuroscience

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Atomic force microscopy as an advanced tool in neuroscience

Maja Jazvinšćak Jembrek / Goran Šimić
  • Department for Neuroscience, Croatian Institute for Brain Research, University of Zagreb Medical School, Zagreb, Croatia
  • Other articles by this author:
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/ Patrick R. Hof
  • Fishberg Department of Neuroscience and Friedman Brain Institute, Icahn School of Medicine at Mount Sinai, New York, 10029 New York, USA
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/ Suzana Šegota
  • Division for Marine and Environmental Research, Ruđer Bošković Institute, POB 180, Zagreb, Croatia
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Published Online: 2015-06-11 | DOI: https://doi.org/10.1515/tnsci-2015-0011

Abstract

This review highlights relevant issues about applications and improvements of atomic force microscopy (AFM) toward a better understanding of neurodegenerative changes at the molecular level with the hope of contributing to the development of effective therapeutic strategies for neurodegenerative illnesses. The basic principles of AFM are briefly discussed in terms of evaluation of experimental data, including the newest PeakForce Quantitative Nanomechanical Mapping (QNM) and the evaluation of Young’s modulus as the crucial elasticity parameter. AFM topography, revealed in imaging mode, can be used to monitor changes in live neurons over time, representing a valuable tool for high-resolution detection and monitoring of neuronal morphology. The mechanical properties of living cells can be quantified by force spectroscopy as well as by new AFM. A variety of applications are described, and their relevance for specific research areas discussed. In addition, imaging as well as non-imaging modes can provide specific information, not only about the structural and mechanical properties of neuronal membranes, but also on the cytoplasm, cell nucleus, and particularly cytoskeletal components. Moreover, new AFM is able to provide detailed insight into physical structure and biochemical interactions in both physiological and pathophysiological conditions.

Keywords: Atomic force microscopy; Force spectroscopy; Membrane nanomechanics; Neuron; Neuroscience; PeakForce Quantitative Nanomechanical Mapping

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About the article

Received: 2015-04-22

Accepted: 2015-06-05

Published Online: 2015-06-11


Citation Information: Translational Neuroscience, ISSN (Online) 2081-6936, DOI: https://doi.org/10.1515/tnsci-2015-0011.

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©2015 Maja Jazvinšćak Jembrek et al.. This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License. BY-NC-ND 3.0

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