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Note: A simple image processing based fiducial auto-alignment method for sample registration

MPS-Authors
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Robertson,  Wesley
Miller Group, Atomically Resolved Dynamics Department, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society;

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Tellkamp,  Friedjof
Machine Physics, Scientific Service Units, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society;

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Lu,  Yinfei
Miller Group, Atomically Resolved Dynamics Department, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society;

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Miller,  R. J. Dwayne
Miller Group, Atomically Resolved Dynamics Department, Max Planck Institute for the Structure and Dynamics of Matter, Max Planck Society;
Department of Chemistry and Physics, University of Toronto, Toronto, Ontario M5S 3H6, Canada;

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1.4929408.pdf
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Citation

Robertson, W., Porto, L. R., Ip, C. J. X., Nantel, M. K. T., Tellkamp, F., Lu, Y., et al. (2015). Note: A simple image processing based fiducial auto-alignment method for sample registration. Review of Scientific Instruments, 86(8): 086105. doi:10.1063/1.4929408.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0028-4E40-C
Abstract
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.