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Towards robust cellular image classification: theoretical foundations for wide-angle scattering pattern analysis
Clinical analysis of light scattering from cellular organelle distributions can help identify disease and predict a patient's response to treatment. This work presents a theoretical basis for the identification of important intracellular distributions from scattering patterns even in the presen...
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Formato: | Texto |
Lenguaje: | English |
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Optical Society of America
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018092/ https://www.ncbi.nlm.nih.gov/pubmed/21258544 http://dx.doi.org/10.1364/BOE.1.001225 |
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author | Pilarski, Patrick M. Backhouse, Christopher J. |
author_facet | Pilarski, Patrick M. Backhouse, Christopher J. |
author_sort | Pilarski, Patrick M. |
collection | PubMed |
description | Clinical analysis of light scattering from cellular organelle distributions can help identify disease and predict a patient's response to treatment. This work presents a theoretical basis for the identification of important intracellular distributions from scattering patterns even in the presence of optical and structural variability, and examines how the geometry of an organelle distribution affects key properties of wide-angle (two-dimensional) scattering patterns. Specifically, this work demonstrates how organelle arrangement relates to the size and shape of intensity peaks within simulated scattering images, and how this relationship can affect cell identification when using standard image classification methods. |
format | Text |
id | pubmed-3018092 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Optical Society of America |
record_format | MEDLINE/PubMed |
spelling | pubmed-30180922011-01-21 Towards robust cellular image classification: theoretical foundations for wide-angle
scattering pattern analysis Pilarski, Patrick M. Backhouse, Christopher J. Biomed Opt Express Cell Studies Clinical analysis of light scattering from cellular organelle distributions can help identify disease and predict a patient's response to treatment. This work presents a theoretical basis for the identification of important intracellular distributions from scattering patterns even in the presence of optical and structural variability, and examines how the geometry of an organelle distribution affects key properties of wide-angle (two-dimensional) scattering patterns. Specifically, this work demonstrates how organelle arrangement relates to the size and shape of intensity peaks within simulated scattering images, and how this relationship can affect cell identification when using standard image classification methods. Optical Society of America 2010-10-26 /pmc/articles/PMC3018092/ /pubmed/21258544 http://dx.doi.org/10.1364/BOE.1.001225 Text en ©2010 Optical Society of America http://creativecommons.org/licenses/by-nc-nd/3.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution-Noncommercial-No Derivative Works 3.0 Unported License, which permits download and redistribution, provided that the original work is properly cited. This license restricts the article from being modified or used commercially. |
spellingShingle | Cell Studies Pilarski, Patrick M. Backhouse, Christopher J. Towards robust cellular image classification: theoretical foundations for wide-angle scattering pattern analysis |
title | Towards robust cellular image classification: theoretical foundations for wide-angle
scattering pattern analysis |
title_full | Towards robust cellular image classification: theoretical foundations for wide-angle
scattering pattern analysis |
title_fullStr | Towards robust cellular image classification: theoretical foundations for wide-angle
scattering pattern analysis |
title_full_unstemmed | Towards robust cellular image classification: theoretical foundations for wide-angle
scattering pattern analysis |
title_short | Towards robust cellular image classification: theoretical foundations for wide-angle
scattering pattern analysis |
title_sort | towards robust cellular image classification: theoretical foundations for wide-angle
scattering pattern analysis |
topic | Cell Studies |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018092/ https://www.ncbi.nlm.nih.gov/pubmed/21258544 http://dx.doi.org/10.1364/BOE.1.001225 |
work_keys_str_mv | AT pilarskipatrickm towardsrobustcellularimageclassificationtheoreticalfoundationsforwideanglescatteringpatternanalysis AT backhousechristopherj towardsrobustcellularimageclassificationtheoreticalfoundationsforwideanglescatteringpatternanalysis |