Title :
A Semi-Automated Positioning System for Contact-Mode Atomic Force Microscopy (AFM)
Author :
Roy, Ranjit ; Wenjin Chen ; Lei Cong ; Goodell, Lauri A. ; Foran, David J. ; Desai, Jaydev P.
Author_Institution :
Robot., Autom., & Med. Syst. (RAMS) Lab., Univ. of Maryland, College Park, MD, USA
Abstract :
Contact mode Atomic Force Microscopy (CM-AFM) is popularly used by the biophysics community to study mechanical properties of cells cultured in petri dishes, or tissue sections fixed on microscope slides. While cells are fairly easy to locate, sampling in spatially heterogeneous tissue specimens is laborious and time-consuming at higher magnifications. Furthermore, tissue registration across multiple magnifications for AFM-based experiments is a challenging problem, suggesting the need to automate the process of AFM indentation on tissue. In this work, we have developed an image-guided micropositioning system to align the AFM probe and human breast-tissue cores in an automated manner across multiple magnifications. Our setup improves efficiency of the AFM indentation experiments considerably.
Keywords :
atomic force microscopy; biological organs; biological tissues; biomechanics; cellular biophysics; image registration; indentation; medical image processing; micropositioning; AFM indentation; AFM-based experiments; CM-AFM analysis; biophysics community; cell mechanical properties; contact-mode atomic force microscopy; human breast-tissue cores; image-guided micropositioning system; microscope slides; multiple magnifications; petri dishes; semiautomated positioning system; spatially heterogeneous tissue specimens; tissue registration; tissue sections; Atomic force microscopy; Biological tissues; Biomedical imaging; Cancer; Force; Probes; Atomic force microscopy (AFM); biomechanics;
Journal_Title :
Automation Science and Engineering, IEEE Transactions on
DOI :
10.1109/TASE.2012.2226154