Abstract

While atomic force microscopy (AFM) has been increasingly applied to life science, artifactual measurements or images can occur during nanoscale analyses of cell components and biomolecules. Tip-sample convolution effect is the most common mechanism responsible for causing artifacts. Some deconvolution-based methods or algorithms have been developed to reconstruct the specimen surface or the tip geometry. Double-tip or double-probe effect can also induce artifactual images by a different mechanism from that of convolution effect. However, an objective method for identifying the double-tip/probe-induced artifactual images is still absent. To fill this important gap, we made use of our expertise of AFM to analyze artifactual double-tip images of cell structures and biomolecules, such as linear DNA, during AFM scanning and imaging. Mathematical models were then generated to elucidate the artifactual double-tip effects and images develop during AFM imaging of cell structures and biomolecules. Based on these models, computational formulas were created to measure and identify potential double-tip AFM images. Such formulas proved to be useful for identification of double-tip images of cell structures and DNA molecules. The present studies provide a useful methodology to evaluate double-tip effects and images. Our results can serve as a foundation to design computer-based automatic detection of double-tip AFM images during nanoscale measuring and imaging of biomolecules and even non-biological materials or structures, and then personal experience is not needed any longer to evaluate artifactual images induced by the double-tip/probe effect.

Highlights

  • Nanotechnology has been emerging as a powerful tool for the studies of life science [1]

  • While atomic force microscopy (AFM) has been increasingly applied to life science, artifactual measurements or images can occur during nanoscale analyses of cell components and biomolecules

  • Mathematical models were generated to elucidate the artifactual double-tip effects and images develop during AFM imaging of cell structures and biomolecules

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Summary

Introduction

Nanotechnology has been emerging as a powerful tool for the studies of life science [1]. Artifactual or “ghost” images due to errors in STM and AFM probing have been described by some investigators since the invention of scanning probe techniques [22,23,24,25] Such artifactual images appear to be associated with steep corrugations or sharp structural features on a sample surface [26], and with the occurrence of an “extra-tip” on the scanning tipsample interface (double-tip or multiple-tip effect and tip asymmetry). Up to now, there have been no objective methods to facilitate the identification or detection of potential artifacts caused by double-tip/probe effect To fill this important gap, we made use of our AFM expertise to explore a methodology to detect potential artifactual images derived double-tip/probe effect by analyzing cell structures and DNA or proteins. To analyze the array pattern of real and ghost images makes it possible to identify these artifacts since the distance and angle between the two tips of a double-tip AFM probe are all fixed

Human MSC Cultures
Preparation of the Cell and Biomolecule Samples for AFM
Atomic Force Microscopy
Analyses of Double-Tip Images of Cell Structures and Biomolecules
Mathematic Models for Dissecting

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