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Fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging

Successful childbirth depends on the occurrence of precisely coordinated uterine contractions during labour. Calcium indicator fluorescence imaging is one of the main techniques for investigating the mechanisms governing this physiological process and its pathologies. The effective spatiotemporal re...

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Autores principales: Loftus, Fiona C, Shmygol, Anatoly, Richardson, Magnus J E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Science Inc 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280886/
https://www.ncbi.nlm.nih.gov/pubmed/25085893
http://dx.doi.org/10.1113/jphysiol.2014.275412
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author Loftus, Fiona C
Shmygol, Anatoly
Richardson, Magnus J E
author_facet Loftus, Fiona C
Shmygol, Anatoly
Richardson, Magnus J E
author_sort Loftus, Fiona C
collection PubMed
description Successful childbirth depends on the occurrence of precisely coordinated uterine contractions during labour. Calcium indicator fluorescence imaging is one of the main techniques for investigating the mechanisms governing this physiological process and its pathologies. The effective spatiotemporal resolution of calcium signals is, however, limited by the motion of contracting tissue: structures of interest in the order of microns can move over a hundred times their width during a contraction. The simultaneous changes in local intensity and tissue configuration make motion tracking a non-trivial problem in image analysis and confound many of the standard techniques. This paper presents a method that tracks local motion throughout the tissue and allows for the almost complete removal of motion artefacts. This provides a stabilized calcium signal down to a pixel resolution, which, for the data examined, is in the order of a few microns. As a byproduct of image stabilization, a complete kinematic description of the contraction–relaxation cycle is also obtained. This contains novel information about the mechanical response of the tissue, such as the identification of a characteristic length scale, in the order of 40–50 μm, below which tissue motion is homogeneous. Applied to our data, we illustrate that the method allows for analyses of calcium dynamics in contracting myometrium in unprecedented spatiotemporal detail. Additionally, we use the kinematics of tissue motion to compare calcium signals at the subcellular level and local contractile motion. The computer code used is provided in a freely modifiable form and has potential applicability to in vivo calcium imaging of neural tissue, as well as other smooth muscle tissue.
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spelling pubmed-42808862015-01-02 Fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging Loftus, Fiona C Shmygol, Anatoly Richardson, Magnus J E J Physiol Computational Physiology and Modelling Successful childbirth depends on the occurrence of precisely coordinated uterine contractions during labour. Calcium indicator fluorescence imaging is one of the main techniques for investigating the mechanisms governing this physiological process and its pathologies. The effective spatiotemporal resolution of calcium signals is, however, limited by the motion of contracting tissue: structures of interest in the order of microns can move over a hundred times their width during a contraction. The simultaneous changes in local intensity and tissue configuration make motion tracking a non-trivial problem in image analysis and confound many of the standard techniques. This paper presents a method that tracks local motion throughout the tissue and allows for the almost complete removal of motion artefacts. This provides a stabilized calcium signal down to a pixel resolution, which, for the data examined, is in the order of a few microns. As a byproduct of image stabilization, a complete kinematic description of the contraction–relaxation cycle is also obtained. This contains novel information about the mechanical response of the tissue, such as the identification of a characteristic length scale, in the order of 40–50 μm, below which tissue motion is homogeneous. Applied to our data, we illustrate that the method allows for analyses of calcium dynamics in contracting myometrium in unprecedented spatiotemporal detail. Additionally, we use the kinematics of tissue motion to compare calcium signals at the subcellular level and local contractile motion. The computer code used is provided in a freely modifiable form and has potential applicability to in vivo calcium imaging of neural tissue, as well as other smooth muscle tissue. Blackwell Science Inc 2014-10-15 2014-08-01 /pmc/articles/PMC4280886/ /pubmed/25085893 http://dx.doi.org/10.1113/jphysiol.2014.275412 Text en © 2014 The Authors. The Journal of Physiology published by John Wiley & Sons Ltd on behalf of The Physiological Society. http://creativecommons.org/licenses/by/4.0/ This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Computational Physiology and Modelling
Loftus, Fiona C
Shmygol, Anatoly
Richardson, Magnus J E
Fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging
title Fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging
title_full Fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging
title_fullStr Fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging
title_full_unstemmed Fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging
title_short Fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging
title_sort fine spatiotemporal activity in contracting myometrium revealed by motion-corrected calcium imaging
topic Computational Physiology and Modelling
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4280886/
https://www.ncbi.nlm.nih.gov/pubmed/25085893
http://dx.doi.org/10.1113/jphysiol.2014.275412
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