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Going Vertical To Improve the Accuracy of Atomic Force Microscopy Based Single-Molecule Force Spectroscopy
Robert Walder1, William J Van Patten1, Ayush Adhikari1
1JILA, National Institute of Standards and Technology , and University of Colorado, Boulder, Colorado 80309, United States.
ACS Nano
|December 16, 2017
Summary
An automated algorithm improves atomic force microscopy (AFM) single-molecule force spectroscopy (SMFS) accuracy by correcting lateral offsets in DNA stretching experiments. This enhances precision and throughput for biomolecular mechanical studies.
Area of Science:
- Biophysics
- Materials Science
- Nanotechnology
Background:
- Single-molecule force spectroscopy (SMFS) using atomic force microscopy (AFM) is crucial for studying biomolecular mechanics.
- Current AFM-based SMFS accuracy is limited by uncorrected lateral stretching angles, especially for stiff molecules like DNA.
- This inaccuracy hinders precise characterization of molecular properties and interactions.
Purpose of the Study:
- To develop and validate an automated algorithm for precise tip alignment in AFM-based SMFS.
- To correct for lateral offsets in force-extension measurements of DNA molecules.
- To improve the accuracy, precision, and throughput of AFM-based SMFS.
Main Methods:
- Developed an automated algorithm for aligning the AFM tip to DNA attachment points on a coverslip.
- Performed alignment at low force (10-20 pN) and short duration (15-25 s) to maintain molecular connection.
- Acquired and analyzed force-extension curves for DNA, polyprotein, and PEG-based assays.
Main Results:
- Identified significant uncorrected lateral offsets in DNA measurements (24 ± 18 nm for 100 nm DNA, 180 ± 110 nm for 650 nm DNA).
- Correcting these offsets improved accuracy and precision by 3-fold for DNA overstretching transitions.
- Demonstrated high throughput (88 curves in 40 min) and versatility across different molecular systems.
Conclusions:
- The automated alignment algorithm significantly enhances AFM-based SMFS accuracy and precision.
- This method is broadly applicable to commercial AFMs, improving biomolecular characterization.
- Sophisticated data-acquisition protocols are key to advancing AFM-based SMFS capabilities.

