Novel Approaches for Single Molecule Activation and Detection

  • Fabio Benfenati
  • Enzo Di Fabrizio
  • Vincent Torre
Part of the Advances in Atom and Single Molecule Machines book series (AASMM)

Table of contents

  1. Front Matter
    Pages i-xii
  2. Alberto Diaspro, Francesca Cella Zanacchi, Paolo Bianchini, Giuseppe Vicidomini
    Pages 27-43
  3. Tania Limongi, Lorenzo Ferrara, Gobind Das, Manola Moretti, Monica Marini, Ermanno Miele et al.
    Pages 45-60
  4. Denys Naumenko, Damiano Cassese, Marco Lazzarino, Alpan Bek
    Pages 61-83
  5. Dennis M. Bauer, Dania M. Kendziora, Ishtiaq Ahmed, Yu-Chueh Hung, Ljiljana Fruk
    Pages 85-121
  6. Pasquale Bianco, Lorenzo Bongini, Luca Melli, Giulia Falorsi, Luca Salvi, Dan Cojoc et al.
    Pages 123-147
  7. Laura Andolfi, Marco Lazzarino
    Pages 149-168
  8. Antoni Bautista-Barrufet, Mercè Izquierdo-Serra, Pau Gorostiza
    Pages 169-188
  9. Duco Endeman, Paul Feyen, Diego Ghezzi, Maria Rosa Antognazza, Nicola Martino, Elisabetta Colombo et al.
    Pages 189-202
  10. Enrica Maria Petrini, Andrea Barberis
    Pages 203-219

About these proceedings

Introduction

How can we obtain tools able to process and exchange information at the molecular scale? In order to do this, it is necessary to activate and detect single molecules under controlled conditions. This book focuses on the generation of biologically-inspired molecular devices. These devices are based on the developments of new photonic tools able to activate and stimulate single molecule machines. Additionally, new light sensitive molecules can be selectively activated by photonic tools. These technological innovations will provide a way to control activation of single light-sensitive molecules, allowing the investigation of molecular computation in a biological environment.

Keywords

Biological Sensors Light-sensitive Molecules Molecular Devices Near-field Optical Microscopy Photonics Plasmon Polariton Single Molecule Computation Single-molecule Tracking Super-resolution Microscopy Synaptic Computation

Editors and affiliations

  • Fabio Benfenati
    • 1
  • Enzo Di Fabrizio
    • 2
  • Vincent Torre
    • 3
  1. 1.Department of Neuroscience and NeurotechnologyUniversity of Genoa The Italian Institute of TechnologyGenoaItaly
  2. 2.Nanostructures DepartmentThe Italian Institute of TechnologyGenoaItaly
  3. 3.Neuroscience AreaScuola Internazionale Superiore di StudiTriesteItaly

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-43367-6
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Chemistry and Materials Science
  • Print ISBN 978-3-662-43366-9
  • Online ISBN 978-3-662-43367-6
  • Series Print ISSN 2193-9691
  • Series Online ISSN 2193-9705
  • About this book