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Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics
Cell morphological analysis has long been used in cell biology and physiology for abnormality identification, early cancer detection, and dynamic change analysis under specific environmental stresses. This work reports on the remote mapping of cell 3D morphology with an in-plane resolution limited b...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478725/ https://www.ncbi.nlm.nih.gov/pubmed/31015541 http://dx.doi.org/10.1038/s41598-019-42718-5 |
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author | Liu, Liwang Viel, Alexis Le Saux, Guillaume Plawinski, Laurent Muggiolu, Giovanna Barberet, Philippe Pereira, Marco Ayela, Cédric Seznec, Hervé Durrieu, Marie-Christine Olive, Jean-Marc Audoin, Bertrand |
author_facet | Liu, Liwang Viel, Alexis Le Saux, Guillaume Plawinski, Laurent Muggiolu, Giovanna Barberet, Philippe Pereira, Marco Ayela, Cédric Seznec, Hervé Durrieu, Marie-Christine Olive, Jean-Marc Audoin, Bertrand |
author_sort | Liu, Liwang |
collection | PubMed |
description | Cell morphological analysis has long been used in cell biology and physiology for abnormality identification, early cancer detection, and dynamic change analysis under specific environmental stresses. This work reports on the remote mapping of cell 3D morphology with an in-plane resolution limited by optics and an out-of-plane accuracy down to a tenth of the optical wavelength. For this, GHz coherent acoustic phonons and their resonance harmonics were tracked by means of an ultrafast opto-acoustic technique. After illustrating the measurement accuracy with cell-mimetic polymer films we map the 3D morphology of an entire osteosarcoma cell. The resulting image complies with the image obtained by standard atomic force microscopy, and both reveal very close roughness mean values. In addition, while scanning macrophages and monocytes, we demonstrate an enhanced contrast of thickness mapping by taking advantage of the detection of high-frequency resonance harmonics. Illustrations are given with the remote quantitative imaging of the nucleus thickness gradient of migrating monocyte cells. |
format | Online Article Text |
id | pubmed-6478725 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-64787252019-05-03 Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics Liu, Liwang Viel, Alexis Le Saux, Guillaume Plawinski, Laurent Muggiolu, Giovanna Barberet, Philippe Pereira, Marco Ayela, Cédric Seznec, Hervé Durrieu, Marie-Christine Olive, Jean-Marc Audoin, Bertrand Sci Rep Article Cell morphological analysis has long been used in cell biology and physiology for abnormality identification, early cancer detection, and dynamic change analysis under specific environmental stresses. This work reports on the remote mapping of cell 3D morphology with an in-plane resolution limited by optics and an out-of-plane accuracy down to a tenth of the optical wavelength. For this, GHz coherent acoustic phonons and their resonance harmonics were tracked by means of an ultrafast opto-acoustic technique. After illustrating the measurement accuracy with cell-mimetic polymer films we map the 3D morphology of an entire osteosarcoma cell. The resulting image complies with the image obtained by standard atomic force microscopy, and both reveal very close roughness mean values. In addition, while scanning macrophages and monocytes, we demonstrate an enhanced contrast of thickness mapping by taking advantage of the detection of high-frequency resonance harmonics. Illustrations are given with the remote quantitative imaging of the nucleus thickness gradient of migrating monocyte cells. Nature Publishing Group UK 2019-04-23 /pmc/articles/PMC6478725/ /pubmed/31015541 http://dx.doi.org/10.1038/s41598-019-42718-5 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Article Liu, Liwang Viel, Alexis Le Saux, Guillaume Plawinski, Laurent Muggiolu, Giovanna Barberet, Philippe Pereira, Marco Ayela, Cédric Seznec, Hervé Durrieu, Marie-Christine Olive, Jean-Marc Audoin, Bertrand Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics |
title | Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics |
title_full | Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics |
title_fullStr | Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics |
title_full_unstemmed | Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics |
title_short | Remote imaging of single cell 3D morphology with ultrafast coherent phonons and their resonance harmonics |
title_sort | remote imaging of single cell 3d morphology with ultrafast coherent phonons and their resonance harmonics |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6478725/ https://www.ncbi.nlm.nih.gov/pubmed/31015541 http://dx.doi.org/10.1038/s41598-019-42718-5 |
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