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Summary: Scanning Probe Recognition Microscopy - A New Tool for Quantitative Mapping of Nanoscale
Properties in Regenerative Neural Cell Systems
Virginia M. Ayres, V. Tiryaki, Michigan State University; A. Khan, Western Michigan University;
S. Meiners, I. Ahmed and R. Delgado-Rivera, University of Medicine and Dentistry of New Jersey
Scanning Probe Recognition Microscopy (SPRM) is a new and dynamic
mode of scanning probe microscopy [1,2]. Incorporating recognition-based tip
control, SPRM can auto-track on selected regions of interest. The recognition
capability is realized using algorithms and techniques from computer vision,
pattern recognition, and signal processing fields. Adaptive learning and
prediction make the detection and recognition procedure quicker and more
reliable. SPRM improves measurements in three ways: 1) auto-tracking is
performed only on regions of reliable data; 2) statistically meaningful numbers
of reliable data points are extracted, providing more accurate interpretations of
material characteristics; and 3) all data is extracted using an automatic
procedure that maintains experimental uniformity.
We are currently employing SPRM to evaluate the nanoscale
biomaterial properties of a Spinal Cord Prosthetic (SCP) that is comprised of a
layered array of synthetic polyamide
nanofibrillar matrices prepared by
electrospinning. The nanofibrillar
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