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Journal Article

Measurement of arbitrary scan patterns for correction of imaging distortions in laser scanning microscopy

MPS-Authors
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Klioutchnikov,  Alexandr
Department of Behavior and Brain Organization, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society;

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Wallace,  Damian J       
Department of Behavior and Brain Organization, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society;

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Kerr,  Jason N. D.       
Department of Behavior and Brain Organization, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society;

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Sawinski,  Jürgen       
Department of Behavior and Brain Organization, Max Planck Institute for Neurobiology of Behavior – caesar, Max Planck Society;

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boe-13-7-3983.pdf
(Publisher version), 5MB

Supplementary Material (public)

5753430.pdf
(Supplementary material), 1011KB

Citation

Rose, P., Klioutchnikov, A., Wallace, D. J., Greenberg, D. S., Kerr, J. N. D., & Sawinski, J. (2022). Measurement of arbitrary scan patterns for correction of imaging distortions in laser scanning microscopy. Biomedical Optics Express, 13(7), 3983-3992.


Cite as: https://hdl.handle.net/21.11116/0000-000A-B22E-A
Abstract
Laser scanning microscopy requires beam steering through relay and focusing optics at sub-micron precision. In light-weight mobile systems, such as head mounted multiphoton microscopes, distortion and imaging plane curvature management is unpractical due to the complexity of required optic compensation. Thus, the resulting scan pattern limits anatomical fidelity and decreases analysis algorithm efficiency. Here, we present a technique that reconstructs the three-dimensional scan path only requiring translation of a simple fluorescent test probe. Our method is applicable to any type of scanning instrument with sectioning capabilities without prior assumptions regarding origin of imaging deviations. Further, we demonstrate that the obtained scan pattern allows analysis of these errors, and allows to restore anatomical accuracy relevant for complementary methods such as motion correction, further enhancing spatial registration and feature extraction.