Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy

We describe a method to speed up microelectromechanical system (MEMS) mirror scanning by > 20x, while also improving scan accuracy. We use Landweber deconvolution to determine an input voltage which would produce a desired output, based on the measured MEMS impulse response. Since the MEMS is wea...

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Detalles Bibliográficos
Autores principales: Giannini, John P., York, Andrew G., Shroff, Hari
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626505/
https://www.ncbi.nlm.nih.gov/pubmed/28973013
http://dx.doi.org/10.1371/journal.pone.0185849
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author Giannini, John P.
York, Andrew G.
Shroff, Hari
author_facet Giannini, John P.
York, Andrew G.
Shroff, Hari
author_sort Giannini, John P.
collection PubMed
description We describe a method to speed up microelectromechanical system (MEMS) mirror scanning by > 20x, while also improving scan accuracy. We use Landweber deconvolution to determine an input voltage which would produce a desired output, based on the measured MEMS impulse response. Since the MEMS is weakly nonlinear, the observed behavior deviates from expectations, and we iteratively improve our input to minimize this deviation. This allows customizable MEMS angle vs. time with <1% deviation from the desired scan pattern. We demonstrate our technique by optimizing a point scanning microscope’s raster patterns to image mammal submandibular gland and pollen at ~10 frames/s.
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spelling pubmed-56265052017-10-17 Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy Giannini, John P. York, Andrew G. Shroff, Hari PLoS One Research Article We describe a method to speed up microelectromechanical system (MEMS) mirror scanning by > 20x, while also improving scan accuracy. We use Landweber deconvolution to determine an input voltage which would produce a desired output, based on the measured MEMS impulse response. Since the MEMS is weakly nonlinear, the observed behavior deviates from expectations, and we iteratively improve our input to minimize this deviation. This allows customizable MEMS angle vs. time with <1% deviation from the desired scan pattern. We demonstrate our technique by optimizing a point scanning microscope’s raster patterns to image mammal submandibular gland and pollen at ~10 frames/s. Public Library of Science 2017-10-03 /pmc/articles/PMC5626505/ /pubmed/28973013 http://dx.doi.org/10.1371/journal.pone.0185849 Text en https://creativecommons.org/publicdomain/zero/1.0/ This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 (https://creativecommons.org/publicdomain/zero/1.0/) public domain dedication.
spellingShingle Research Article
Giannini, John P.
York, Andrew G.
Shroff, Hari
Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy
title Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy
title_full Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy
title_fullStr Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy
title_full_unstemmed Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy
title_short Anticipating, measuring, and minimizing MEMS mirror scan error to improve laser scanning microscopy's speed and accuracy
title_sort anticipating, measuring, and minimizing mems mirror scan error to improve laser scanning microscopy's speed and accuracy
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5626505/
https://www.ncbi.nlm.nih.gov/pubmed/28973013
http://dx.doi.org/10.1371/journal.pone.0185849
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