Ringing Mode™ is a new AFM imaging mode that provides previously inaccessible information regarding the composition of samples

  • Provides unique data for each sample, which is impossible to obtain with other techniques
  • User-friendly technology with minimal learning curve
  • 8 additional RM channels for imaging the sample surface; all 8 channels are obtained simultaneously
  • Up to 14 different data channels can be acquired simultaneously when combined with the traditional sub-resonance tapping
  • Measurements are highly consistent and repeatable
  • Images are acquired at high imaging rates
  • Measurements can be taken in the air or submerged in liquid
  • Higher signal-to-noise ratio is obtained due to multiple averaging of recorded signal
  • Less distortion due to possible interference due to independent identification of zero force
  • Can be installed on a range of AFM systems
  • Seamless integration with Bruker’s AFMs

Fourier Transform Nano-Dynamical Mechanical Analyzer (FT-nanoDMA™) AFM extension allows measurement of (quasi)static and dynamic mechanical moduli of soft materials.

  • Dynamic mechanical spectroscopy (DMS) of soft materials is quantitative and results are repeatable
  • Storage, loss moduli, and loss tangent can simultaneously be recorded for 10 different frequencies (currently up to 300Hz)
  • Static (Young’s) moduli can be measured simultaneously with dynamic mechanical properties
  • Up to 280x faster compared to the current state-of-the-art nanoindenter, FT-nanoDMA can be treated as an imaging mode
  • 150x increase in lateral resolution compared to the current state-of-the-art nanoindenters
  • Measurements can be taken in the air or submerged in liquid
  • Samples may include biological cells (both fixed and live directly in physiological media), tissues, and even ultrasoft polymers and polymer brushes
  • Ability to record frequency gradients of dynamic moduli; no other technology allows for such measurements on a nanoscale

Imaging of Molecular Coating on Nanoparticle Surface Using AFM Ringing Mode

High-resolution Viscoelastic Mapping of Cells with FT-NanoDMA Mode of AFM

Noninvasive diagnostic imaging using machine-learning analysis of nanoresolution images of cell surfaces: Detection of bladder cancer

Imaging of Soft and Biological Samples Using AFM Ringing Mode

Nanoscale compositional mapping of cells, tissues, and polymers with ringing mode of atomic force microscopy

Atomic Force Microscopy Detects the Difference in Cancer Cells of Different Neoplastic Aggressiveness via Machine Learning

Multidimensional mechano-tomography of biological cells: novel modes and machine learning data analysis

Identification of Geometrical Features of Cell Surface Responsible for Cancer Aggressiveness: Machine Learning Analysis of Atomic Force Microscopy Images of Human Colorectal Epithelial Cells

On the Measurements of Rigidity Modulus of Soft Materials in Nanoindentation Experiments at Small Depth