Atomic force microscopy (AFM) is a way to investigate the surface features of some materials. It works by “feeling” or “touching” the surface with an extremely small probe. This provides a ...

When it comes to analyzing living cells, challenging biological samples and thick, multilayer tissue samples require purposefully designed instrumentation. BioAFMs are ideal when it comes to these ...

Invented 30 years ago, the atomic force microscope has been a major driver of nanotechnology, ranging from atomic-scale imaging to its latest applications in manipulating individual molecules, ...

What Is Atomic Force Microscopy? Atomic force microscopy (AFM) is a powerful technique that enables surface ultrastructure visualization at molecular resolution. 1 Besides three-dimensional (3D) ...

Anyone who has ever taken the time to critically examine a walnut knows that a two-dimensional photograph fails in many respects to truly convey the unique features--the nicks, crannies, valleys, and ...

Atomic force microscopy (AFM) and infrared (IR) spectroscopy have emerged as complementary techniques that enable the precise characterisation of materials at the nanoscale. AFM provides ...

Scientists at the Department of Energy's Oak Ridge National Laboratory have reimagined the capabilities of atomic force microscopy, or AFM, transforming it from a tool for imaging nanoscale features ...

New model extracts stiffness and fluidity from AFM data in minutes, enabling fast, accurate mechanical characterization of living cells at single-cell resolution. (Nanowerk Spotlight) Cells are not ...

Researchers developed and validated a label-free, non-invasive method combining AFM with deep learning for accurate profiling of human macrophage mechanophenotypes and rapid identification of their ...

Researchers at Nano Life Science Institute (WPI-NanoLSI), Kanazawa University report in Small Methods the 3D imaging of a suspended nanostructure. The technique used is an extension of atomic force ...

Using localized force-distance curves from AFM, a deep neural network was trained and biologically validated to predict and accurately distinguish macrophage polarization states, including complex ...