2014
DOI: 10.1039/c4ay00485j
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Atomic force microscopy-based bioanalysis for the study of disease

Abstract: This review aims to describe the operation of atomic force microscopy related to the study of disease states and single cell analysis, and to serve as an overview of recent advances in this subject area.

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Cited by 18 publications
(29 citation statements)
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References 315 publications
(360 reference statements)
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“…4,[11][12][13][14] Both techniques have also been combined. 9,15,16 The imaging mechanism in AFM is based on mechanical forces between the sample and the tip of a cantilever, which is used to track the surface of the sample (Fig. 1a).…”
Section: Introductionmentioning
confidence: 99%
“…4,[11][12][13][14] Both techniques have also been combined. 9,15,16 The imaging mechanism in AFM is based on mechanical forces between the sample and the tip of a cantilever, which is used to track the surface of the sample (Fig. 1a).…”
Section: Introductionmentioning
confidence: 99%
“…thioflavin T, or ThT, fluorescence assay, CD spectroscopy, IR spectroscopy, and NMR spectroscopy) 4,5 , and then visualized by single molecule techniques, such as transmittance electron microscopy (TEM) and atomic force microscopy (AFM). 69 For both popular tools, samples are typically dried at various aggregation stages for further characterization of the amyloid species prepared in solution. Among different types of aggregates, structured oligomers have been recognized as potentially more toxic species than other structures.…”
Section: Introductionmentioning
confidence: 99%
“…The method allows the direct imaging of nanoscale features both on cell surface and along the length of a single microvillus. This method is compatible with both commercially available standalone AFM tools and those used in conjunction with optical microscopy techniques 28 , which makes it amenable to field deployed screening of diseases 29 related to cell malfunction. We anticipate that this microscopy based methodology will have an impact in the emerging field of digital pathology 30 , where it is important to register information on diseased cells in a fixed state that is free of ambient contaminants and of sufficiently high-spatial resolution for algorithm based data analysis.…”
Section: Introductionmentioning
confidence: 99%