Force scanning: a rapid, high-resolution approach for spatial mechanical property mapping
被引:33
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作者:
Darling, E. M.
论文数: 0引用数: 0
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机构:
Brown Univ, Dept Mol Pharmacol Physiol & Biotechnol, Ctr Biomed Engn, Providence, RI 02912 USA
Brown Univ, Dept Orthopaed, Providence, RI 02912 USA
Brown Univ, Sch Engn, Providence, RI 02912 USABrown Univ, Dept Mol Pharmacol Physiol & Biotechnol, Ctr Biomed Engn, Providence, RI 02912 USA
Darling, E. M.
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机构:
[1] Brown Univ, Dept Mol Pharmacol Physiol & Biotechnol, Ctr Biomed Engn, Providence, RI 02912 USA
[2] Brown Univ, Dept Orthopaed, Providence, RI 02912 USA
[3] Brown Univ, Sch Engn, Providence, RI 02912 USA
Atomic force microscopy (AFM) can be used to co-localize mechanical properties and topographical features through property mapping techniques. The most common approach for testing biological materials at the microscale and nanoscale is force mapping, which involves taking individual force curves at discrete sites across a region of interest. The limitations of force mapping include long testing times and low resolution. While newer AFM methodologies, like modulated scanning and torsional oscillation, circumvent this problem, their adoption for biological materials has been limited. This could be due to their need for specialized software algorithms and/or hardware. The objective of this study is to develop a novel force scanning technique using AFM to rapidly capture high-resolution topographical images of soft biological materials while simultaneously quantifying their mechanical properties. Force scanning is a straightforward methodology applicable to a wide range of materials and testing environments, requiring no special modification to standard AFMs. Essentially, if a contact-mode image can be acquired, then force scanning can be used to produce a spatial modulus map. The current study first validates this technique using agarose gels, comparing results to ones achieved by the standard force mapping approach. Biologically relevant demonstrations are then presented for high-resolution modulus mapping of individual cells, cell-cell interfaces, and articular cartilage tissue.