An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs

10.1186/s12859-017-1684-y

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Bibliographic Details
Main Authors:	Zhang, Z, Xia, S, Kanchanawong, P
Other Authors:	MECHANOBIOLOGY INSTITUTE
Format:	Article
Published:	2020
Subjects:	Cells Cytology Extraction Fluorescence Fluorescence microscopy Image analysis Image segmentation Open source software Open systems Piecewise linear techniques Proteins Sensitivity analysis Software engineering Stresses Tissue culture Actin cytoskeleton Fluorescence micrograph Micro pattern Morphological analysis Quantitative extraction Stress fibers TIRF Tissue culture cells Fibers actin algorithm anisotropy automation cell shape fluorescence microscopy human image enhancement metabolism procedures software stress fiber tumor cell line Actins Algorithms Anisotropy Automation Cell Line, Tumor Cell Shape Humans Image Enhancement Microscopy, Fluorescence Software Stress Fibers
Online Access:	https://scholarbank.nus.edu.sg/handle/10635/181279
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Institution:	National University of Singapore

id	sg-nus-scholar.10635-181279
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spelling	sg-nus-scholar.10635-1812792024-04-15T12:48:13Z An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs Zhang, Z Xia, S Kanchanawong, P MECHANOBIOLOGY INSTITUTE BIOMEDICAL ENGINEERING Cells Cytology Extraction Fluorescence Fluorescence microscopy Image analysis Image segmentation Open source software Open systems Piecewise linear techniques Proteins Sensitivity analysis Software engineering Stresses Tissue culture Actin cytoskeleton Fluorescence micrograph Micro pattern Morphological analysis Quantitative extraction Stress fibers TIRF Tissue culture cells Fibers actin algorithm anisotropy automation cell shape fluorescence microscopy human image enhancement metabolism procedures software stress fiber tumor cell line Actins Algorithms Anisotropy Automation Cell Line, Tumor Cell Shape Humans Image Enhancement Microscopy, Fluorescence Software Stress Fibers 10.1186/s12859-017-1684-y BMC Bioinformatics 18 1 268 2020-10-27T10:26:35Z 2020-10-27T10:26:35Z 2017 Article Zhang, Z, Xia, S, Kanchanawong, P (2017). An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs. BMC Bioinformatics 18 (1) : 268. ScholarBank@NUS Repository. https://doi.org/10.1186/s12859-017-1684-y 14712105 https://scholarbank.nus.edu.sg/handle/10635/181279 Attribution 4.0 International http://creativecommons.org/licenses/by/4.0/ Unpaywall 20201031
institution	National University of Singapore
building	NUS Library
continent	Asia
country	Singapore Singapore
content_provider	NUS Library
collection	ScholarBank@NUS
topic	Cells Cytology Extraction Fluorescence Fluorescence microscopy Image analysis Image segmentation Open source software Open systems Piecewise linear techniques Proteins Sensitivity analysis Software engineering Stresses Tissue culture Actin cytoskeleton Fluorescence micrograph Micro pattern Morphological analysis Quantitative extraction Stress fibers TIRF Tissue culture cells Fibers actin algorithm anisotropy automation cell shape fluorescence microscopy human image enhancement metabolism procedures software stress fiber tumor cell line Actins Algorithms Anisotropy Automation Cell Line, Tumor Cell Shape Humans Image Enhancement Microscopy, Fluorescence Software Stress Fibers
spellingShingle	Cells Cytology Extraction Fluorescence Fluorescence microscopy Image analysis Image segmentation Open source software Open systems Piecewise linear techniques Proteins Sensitivity analysis Software engineering Stresses Tissue culture Actin cytoskeleton Fluorescence micrograph Micro pattern Morphological analysis Quantitative extraction Stress fibers TIRF Tissue culture cells Fibers actin algorithm anisotropy automation cell shape fluorescence microscopy human image enhancement metabolism procedures software stress fiber tumor cell line Actins Algorithms Anisotropy Automation Cell Line, Tumor Cell Shape Humans Image Enhancement Microscopy, Fluorescence Software Stress Fibers Zhang, Z Xia, S Kanchanawong, P An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs
description	10.1186/s12859-017-1684-y
author2	MECHANOBIOLOGY INSTITUTE
author_facet	MECHANOBIOLOGY INSTITUTE Zhang, Z Xia, S Kanchanawong, P
format	Article
author	Zhang, Z Xia, S Kanchanawong, P
author_sort	Zhang, Z
title	An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs
title_short	An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs
title_full	An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs
title_fullStr	An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs
title_full_unstemmed	An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs
title_sort	integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs
publishDate	2020
url	https://scholarbank.nus.edu.sg/handle/10635/181279
_version_	1800914630162251776

An integrated enhancement and reconstruction strategy for the quantitative extraction of actin stress fibers from fluorescence micrographs

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