Biological physics by high-speed atomic force microscopy - Archive ouverte HAL Accéder directement au contenu
Article Dans Une Revue Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Année : 2020

Biological physics by high-speed atomic force microscopy

Résumé

While many fields have contributed to biological physics, nanotechnology offered a new scale of observation. High-speed atomic force microscopy (HS-AFM) provides nanometre structural information and dynamics with subsecond resolution of biological systems. Moreover, HS-AFM allows us to measure piconewton forces within microseconds giving access to unexplored, fast biophysical processes. Thus, HS-AFM provides a tool to nourish biological physics through the observation of emergent physical phenomena in biological systems. In this review, we present an overview of the contribution of HS-AFM, both in imaging and force spectroscopy modes, to the field of biological physics. We focus on examples in which HS AFM observations on membrane remodelling, molecular motors or the unfolding of proteins have stimulated the development of novel theories or the emergence of new concepts. We finally provide expected applications and developments of HS-AFM that we believe will continue contributing to our understanding of nature, by serving to the dialog between biology and physics. This article is part of the discussion meeting issue ‘Dynamic in situ microscopy relating structure and function’.
Fichier principal
Vignette du fichier
__RSTA20190604p.pdf (1.05 Mo) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)

Dates et versions

hal-03027169 , version 1 (27-11-2020)

Identifiants

Citer

Ignacio Casuso, Lorena Redondo-Morata, Felix Rico. Biological physics by high-speed atomic force microscopy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, 2020, 378 (2186), pp.20190604. ⟨10.1098/rsta.2019.0604⟩. ⟨hal-03027169⟩
73 Consultations
64 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More