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3D membrane segmentation and quantification of intact thick cells using cryo soft X-ray transmission microscopy: A pilot study
Structural analysis of biological membranes is important for understanding cell and sub-cellular organelle function as well as their interaction with the surrounding environment. Imaging of whole cells in three dimension at high spatial resolution remains a significant challenge, particularly for th...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380311/ https://www.ncbi.nlm.nih.gov/pubmed/28376110 http://dx.doi.org/10.1371/journal.pone.0174324 |
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author | Cárdenes, Rubén Zhang, Chong Klementieva, Oxana Werner, Stephan Guttmann, Peter Pratsch, Christoph Cladera, Josep Bijnens, Bart H. |
author_facet | Cárdenes, Rubén Zhang, Chong Klementieva, Oxana Werner, Stephan Guttmann, Peter Pratsch, Christoph Cladera, Josep Bijnens, Bart H. |
author_sort | Cárdenes, Rubén |
collection | PubMed |
description | Structural analysis of biological membranes is important for understanding cell and sub-cellular organelle function as well as their interaction with the surrounding environment. Imaging of whole cells in three dimension at high spatial resolution remains a significant challenge, particularly for thick cells. Cryo-transmission soft X-ray microscopy (cryo-TXM) has recently gained popularity to image, in 3D, intact thick cells (∼10μm) with details of sub-cellular architecture and organization in near-native state. This paper reports a new tool to segment and quantify structural changes of biological membranes in 3D from cryo-TXM images by tracking an initial 2D contour along the third axis of the microscope, through a multi-scale ridge detection followed by an active contours-based model, with a subsequent refinement along the other two axes. A quantitative metric that assesses the grayscale profiles perpendicular to the membrane surfaces is introduced and shown to be linearly related to the membrane thickness. Our methodology has been validated on synthetic phantoms using realistic microscope properties and structure dimensions, as well as on real cryo-TXM data. Results demonstrate the validity of our algorithms for cryo-TXM data analysis. |
format | Online Article Text |
id | pubmed-5380311 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-53803112017-04-19 3D membrane segmentation and quantification of intact thick cells using cryo soft X-ray transmission microscopy: A pilot study Cárdenes, Rubén Zhang, Chong Klementieva, Oxana Werner, Stephan Guttmann, Peter Pratsch, Christoph Cladera, Josep Bijnens, Bart H. PLoS One Research Article Structural analysis of biological membranes is important for understanding cell and sub-cellular organelle function as well as their interaction with the surrounding environment. Imaging of whole cells in three dimension at high spatial resolution remains a significant challenge, particularly for thick cells. Cryo-transmission soft X-ray microscopy (cryo-TXM) has recently gained popularity to image, in 3D, intact thick cells (∼10μm) with details of sub-cellular architecture and organization in near-native state. This paper reports a new tool to segment and quantify structural changes of biological membranes in 3D from cryo-TXM images by tracking an initial 2D contour along the third axis of the microscope, through a multi-scale ridge detection followed by an active contours-based model, with a subsequent refinement along the other two axes. A quantitative metric that assesses the grayscale profiles perpendicular to the membrane surfaces is introduced and shown to be linearly related to the membrane thickness. Our methodology has been validated on synthetic phantoms using realistic microscope properties and structure dimensions, as well as on real cryo-TXM data. Results demonstrate the validity of our algorithms for cryo-TXM data analysis. Public Library of Science 2017-04-04 /pmc/articles/PMC5380311/ /pubmed/28376110 http://dx.doi.org/10.1371/journal.pone.0174324 Text en © 2017 Cárdenes et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Cárdenes, Rubén Zhang, Chong Klementieva, Oxana Werner, Stephan Guttmann, Peter Pratsch, Christoph Cladera, Josep Bijnens, Bart H. 3D membrane segmentation and quantification of intact thick cells using cryo soft X-ray transmission microscopy: A pilot study |
title | 3D membrane segmentation and quantification of intact thick cells using cryo soft X-ray transmission microscopy: A pilot study |
title_full | 3D membrane segmentation and quantification of intact thick cells using cryo soft X-ray transmission microscopy: A pilot study |
title_fullStr | 3D membrane segmentation and quantification of intact thick cells using cryo soft X-ray transmission microscopy: A pilot study |
title_full_unstemmed | 3D membrane segmentation and quantification of intact thick cells using cryo soft X-ray transmission microscopy: A pilot study |
title_short | 3D membrane segmentation and quantification of intact thick cells using cryo soft X-ray transmission microscopy: A pilot study |
title_sort | 3d membrane segmentation and quantification of intact thick cells using cryo soft x-ray transmission microscopy: a pilot study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5380311/ https://www.ncbi.nlm.nih.gov/pubmed/28376110 http://dx.doi.org/10.1371/journal.pone.0174324 |
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