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Quantifying subcellular dynamics in apoptotic cells with two-dimensional Gabor filters

We demonstrate an optical Fourier filtering method which can be used to characterize subcellular morphology during dynamic cellular function. In this paper, our Fourier filters were based on two-dimensional Gabor elementary functions, which can be tuned to sense directly object size and orientation....

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Detalles Bibliográficos
Autores principales: Pasternack, Robert M., Rabin, Bryan, Zheng, Jing-Yi, Boustany, Nada N.
Formato: Texto
Lenguaje:English
Publicado: Optical Society of America 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018000/
https://www.ncbi.nlm.nih.gov/pubmed/21258503
http://dx.doi.org/10.1364/BOE.1.000720
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author Pasternack, Robert M.
Rabin, Bryan
Zheng, Jing-Yi
Boustany, Nada N.
author_facet Pasternack, Robert M.
Rabin, Bryan
Zheng, Jing-Yi
Boustany, Nada N.
author_sort Pasternack, Robert M.
collection PubMed
description We demonstrate an optical Fourier filtering method which can be used to characterize subcellular morphology during dynamic cellular function. In this paper, our Fourier filters were based on two-dimensional Gabor elementary functions, which can be tuned to sense directly object size and orientation. We utilize this method to quantify changes in mitochondrial and nuclear structure during the first three hours of apoptosis. We find that the technique is sensitive to a decrease in particle orientation consistent with apoptosis-induced mitochondrial fragmentation. The scattering signal changes were less pronounced in the nucleus and the remainder of the cytoplasm. Particles in these regions were less oriented than mitochondria and did not change orientation significantly.
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spelling pubmed-30180002011-01-21 Quantifying subcellular dynamics in apoptotic cells with two-dimensional Gabor filters Pasternack, Robert M. Rabin, Bryan Zheng, Jing-Yi Boustany, Nada N. Biomed Opt Express Cell Studies We demonstrate an optical Fourier filtering method which can be used to characterize subcellular morphology during dynamic cellular function. In this paper, our Fourier filters were based on two-dimensional Gabor elementary functions, which can be tuned to sense directly object size and orientation. We utilize this method to quantify changes in mitochondrial and nuclear structure during the first three hours of apoptosis. We find that the technique is sensitive to a decrease in particle orientation consistent with apoptosis-induced mitochondrial fragmentation. The scattering signal changes were less pronounced in the nucleus and the remainder of the cytoplasm. Particles in these regions were less oriented than mitochondria and did not change orientation significantly. Optical Society of America 2010-08-25 /pmc/articles/PMC3018000/ /pubmed/21258503 http://dx.doi.org/10.1364/BOE.1.000720 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
Pasternack, Robert M.
Rabin, Bryan
Zheng, Jing-Yi
Boustany, Nada N.
Quantifying subcellular dynamics in apoptotic cells with two-dimensional Gabor filters
title Quantifying subcellular dynamics in apoptotic cells with two-dimensional Gabor filters
title_full Quantifying subcellular dynamics in apoptotic cells with two-dimensional Gabor filters
title_fullStr Quantifying subcellular dynamics in apoptotic cells with two-dimensional Gabor filters
title_full_unstemmed Quantifying subcellular dynamics in apoptotic cells with two-dimensional Gabor filters
title_short Quantifying subcellular dynamics in apoptotic cells with two-dimensional Gabor filters
title_sort quantifying subcellular dynamics in apoptotic cells with two-dimensional gabor filters
topic Cell Studies
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3018000/
https://www.ncbi.nlm.nih.gov/pubmed/21258503
http://dx.doi.org/10.1364/BOE.1.000720
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