Note: A simple image processing based fiducial auto-alignment method for sample registration.
A simple method for the location and auto-alignment of sample fiducials for sample registration using widely available MATLAB/LabVIEW software is demonstrated. The method is robust, easily implemented, and applicable to a wide variety of experiment types for improved reproducibility and increased setup speed. The software uses image processing to locate and measure the diameter and center point of circular fiducials for distance self-calibration and iterative alignment and can be used with most imaging systems. The method is demonstrated to be fast and reliable in locating and aligning sample fiducials, provided here by a nanofabricated array, with accuracy within the optical resolution of the imaging system. The software was further demonstrated to register, load, and sample the dynamically wetted array.
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany.
Wesley D
WD
Robertson
Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.
Lucas R
LR
Porto
Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.
Candice J X
CJ
Ip
Department of Physics and Astronomy, University of British Columbia, Vancouver, British Columbia V6T 1Z4, Canada.
Megan K T
MK
Nantel
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany.
Friedjof
F
Tellkamp
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany.
Yinfei
Y
Lu
Max Planck Institute for the Structure and Dynamics of Matter, Hamburg 27761, Germany.
R J Dwayne
RJ
Miller