Haptics Enabled Offline AFM Image Analysis

Mechanical Response of Embryonic Stem Cells Using Haptics-Enabled Atomic Force Microscopy

Mechanical manipulation and characterization of biological cells is currently one of the most exciting research areas in the field of medical robotics applied to cellular level interactions. While biologists are able to ascertain the change in cell status visually based on mRNA or proteins markers, it is often qualitative and difficult to quantitatively define the outcome of a cell progression ...

Deblurring in AFM images

Atomic Force Microscopy (AFM) has been widely used in the material and life sciences and has enabled much progress in nanotechnology since it was invented. AFM relies on inter-atomic forces to form a topographical map of a sample surface. Depending on the surface type, it is possible to achieve atomic resolution. However, due to either the microscope design and operation mode or external enviro...

Visualization and Haptics for Interactive Medical Image Analysis ; Visualisering och Haptik för Interaktiv Medicinsk Bildanalys

Affinity imaging of red blood cells using an atomic force microscope.

We used an atomic force microscope (AFM) to produce an image of a mixed layer of group A and O red blood cells with a contrast based only on the measured strength of a specific receptor-ligand pair. The image was obtained by measuring and plotting for each image pixel the adhesion force between the mixed RBC layer and the AFM tip functionalized with Helix pomatia lectin. The high specificity of...

Use of the Shearlet Transform and Transfer Learning in Offline Handwritten Signature Verification and Recognition

Despite the growing growth of technology, handwritten signature has been selected as the first option between biometrics by users. In this paper, a new methodology for offline handwritten signature verification and recognition based on the Shearlet transform and transfer learning is proposed. Since, a large percentage of handwritten signatures are composed of curves and the performance of a sig...