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Published on: December 20, 2016
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Nanoscopic imaging of thick heterogeneous soft-matter structures in aqueous solution
Tobias F Bartsch1,2, Martin D Kochanczyk1, Emanuel N Lissek1
1Center for Nonlinear Dynamics, Physics Department, The University of Texas at Austin, 2515 Speedway, Austin, Texas 78712, USA.
Nature Communications
|September 7, 2016
Summary
Quantitative thermal noise imaging overcomes microscopy challenges for soft matter. This new technique achieves precise nanometre-scale localization and dynamics quantification of biological structures in solution.
Area of Science:
- Biophysics
- Materials Science
- Microscopy
Background:
- Imaging soft matter at the nanoscale is challenging due to thermal fluctuations causing motion blur.
- Optical heterogeneities in samples lead to geometric distortions in traditional microscopy.
- High-bandwidth, high-precision imaging is crucial for studying dynamic soft materials.
Purpose of the Study:
- To introduce a novel scanning probe technique for high-resolution imaging of soft, heterogeneous, and porous materials.
- To demonstrate precise localization and dynamics quantification of nanoscale structures in aqueous environments.
- To address and correct image distortions caused by optical properties of the sample.
Main Methods:
- Development and application of quantitative thermal noise imaging (QTNI), a 3D scanning probe technique.
- Imaging of individual microtubules and collagen fibrils in a network.
- Utilizing high-bandwidth detection to capture subnanometre amplitude dynamics.
Main Results:
- Achieved precise localization of structures with approximately 10 nm accuracy.
- Quantified local dynamics with 50 kHz bandwidth and subnanometre amplitudes.
- Successfully corrected image distortions arising from optically dense sample regions.
Conclusions:
- Quantitative thermal noise imaging provides a powerful new method for nanoscale imaging of soft matter.
- The technique enables precise localization and dynamic characterization of biological and porous materials.
- QTNI overcomes limitations of conventional microscopy for complex, heterogeneous samples in solution.

