Nanoscopic imaging of thick heterogeneous soft-matter structures in aqueous solution
Tobias F. Bartsch,
Martin D. Kochanczyk,
Emanuel N. Lissek,
Janina R. Lange and
Ernst-Ludwig Florin ()
Additional contact information
Tobias F. Bartsch: Center for Nonlinear Dynamics, The University of Texas at Austin
Martin D. Kochanczyk: Center for Nonlinear Dynamics, The University of Texas at Austin
Emanuel N. Lissek: Center for Nonlinear Dynamics, The University of Texas at Austin
Janina R. Lange: Biophysics Group, Friedrich-Alexander-University of Erlangen-Nürnberg
Ernst-Ludwig Florin: Center for Nonlinear Dynamics, The University of Texas at Austin
Nature Communications, 2016, vol. 7, issue 1, 1-9
Abstract:
Abstract Precise nanometre-scale imaging of soft structures at room temperature poses a major challenge to any type of microscopy because fast thermal fluctuations lead to significant motion blur if the position of the structure is measured with insufficient bandwidth. Moreover, precise localization is also affected by optical heterogeneities, which lead to deformations in the imaged local geometry, the severity depending on the sample and its thickness. Here we introduce quantitative thermal noise imaging, a three-dimensional scanning probe technique, as a method for imaging soft, optically heterogeneous and porous matter with submicroscopic spatial resolution in aqueous solution. By imaging both individual microtubules and collagen fibrils in a network, we demonstrate that structures can be localized with a precision of ∼10 nm and that their local dynamics can be quantified with 50 kHz bandwidth and subnanometre amplitudes. Furthermore, we show how image distortions caused by optically dense structures can be corrected for.
Date: 2016
References: Add references at CitEc
Citations:
Downloads: (external link)
https://www.nature.com/articles/ncomms12729 Abstract (text/html)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:nat:natcom:v:7:y:2016:i:1:d:10.1038_ncomms12729
Ordering information: This journal article can be ordered from
https://www.nature.com/ncomms/
DOI: 10.1038/ncomms12729
Access Statistics for this article
Nature Communications is currently edited by Nathalie Le Bot, Enda Bergin and Fiona Gillespie
More articles in Nature Communications from Nature
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().