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    Glossary Atomic Force Microscopy

    high-resolution imaging technique that maps surfaces at atomic scale

    Atomic Force Microscopy (AFM) is a high-resolution imaging technique that allows scientists to visualize surfaces at the atomic level. It works by scanning a tiny, sharp probe over a sample's surface and measuring the forces between the probe and the sample to create detailed, three-dimensional images. This method is widely used in fields like materials science, biology, and nanotechnology to study the fine details of various materials, including hair and skin at the microscopic level.

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    1. Nanotribological characterization of human hair and skin using atomic force microscopy Ultramicroscopy · 2005 · 99 citations
    2. Effect of ethnicity and treatments on in situ tensile response and morphological changes of human hair characterized by atomic force microscopy Acta materialia · 2008 · 42 citations
    3. Investigation of aging effects in human hair using atomic force microscopy Skin Research and Technology · 2010 · 20 citations
    4. Investigation of hair shaft in seborrheic dermatitis using atomic force microscopy Skin Research and Technology · 2011 · 17 citations
    5. Hair-Hair Contact Dynamics and Interactions Studied with Atomic Force Microscopy 2017 · 2 citations
    6. Effects of conditioners on surface hardness of hair fibers: an investigation using atomic force microscopy. PubMed · 2004 · 2 citations
    7. Evaluation of hair surface structure and morphology of patients with lichen planopilaris (LPP) by atomic force microscopy (AFM) Skin Research and Technology · 2024
    8. Characterization of the mechanical properties of the cortex region of human hair fibers by multiparametric Atomic Force Microscopy mapping Ultramicroscopy · 2024
    9. Evaluation of Surface Structure and Morphological Phenomena of Caucasian Virgin Hair with Atomic Force Microscopy Medicina · 2024
    10. Mechanical properties characterization of human hair fibers cortex region by multiparametric Atomic Force Microscopy mapping Digital Library of Theses and Dissertations (Universidade de São Paulo) · 2021
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