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000030346 0247_ $$2DOI$$a10.1117/1.1527627
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000030346 084__ $$2WoS$$aBiochemical Research Methods
000030346 084__ $$2WoS$$aOptics
000030346 084__ $$2WoS$$aRadiology, Nuclear Medicine & Medical Imaging
000030346 1001_ $$0P:(DE-HGF)0$$aUttenweiler, D.$$b0
000030346 245__ $$aSpatiotemporal anisotropic diffusion filtering to improve signal-to-noise ratios and object restoration in fluorescence microscopic image sequences
000030346 260__ $$aBellingham, Wash.$$bSPIE$$c2003
000030346 300__ $$a40 - 47
000030346 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article
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000030346 440_0 $$09781$$aJournal of Biomedical Optics$$v8$$x1083-3668$$y1
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000030346 520__ $$aWe present an approach for significantly improving the quantitative analysis of motion in noisy fluorescence microscopic image sequences. The new partial differential equation based method is a general extension of a 2-D nonlinear anisotropic diffusion filtering scheme to a specially adapted 3-D nonlinear anisotropic diffusion filtering scheme, with two spatial image dimensions and the time t in the image sequence as the third dimension. Motion in image sequences is considered as oriented, line-like structures in the spatiotemporal x,y,t domain, which are determined by the structure tensor method. Image enhancement is achieved by a structure adopted smoothing kernel in three dimensions, thereby using the full 3-D information inherent in spatiotemporal image sequences. As an example for low signal-to-noise ratio (SNR) microscopic image sequences we have applied this method to noisy in vitro motility assay data, where fluorescently labeled actin filaments move over a surface of immobilized myosin. With the 3-D anisotropic diffusion filtering the SNR is significantly improved (by a factor of 3.8) and closed object structures are reliably restored, which were originally degraded by noise. Generally, this approach is very valuable for all applications where motion has to be measured quantitatively in low light level fluorescence microscopic image sequences of cellular, subcellular, and molecular processes.
000030346 536__ $$0G:(DE-Juel1)FUEK257$$2G:(DE-HGF)$$aChemie und Dynamik der Geo-Biosphäre$$cU01$$x0
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000030346 650_2 $$2MeSH$$aActins: chemistry
000030346 650_2 $$2MeSH$$aActins: ultrastructure
000030346 650_2 $$2MeSH$$aAnimals
000030346 650_2 $$2MeSH$$aFluorescence Polarization: methods
000030346 650_2 $$2MeSH$$aImage Processing, Computer-Assisted
000030346 650_2 $$2MeSH$$aMicroscopy, Fluorescence: methods
000030346 650_2 $$2MeSH$$aMotion
000030346 650_2 $$2MeSH$$aRabbits
000030346 650_7 $$00$$2NLM Chemicals$$aActins
000030346 650_7 $$2WoSType$$aJ
000030346 65320 $$2Author$$afluorescence imaging
000030346 65320 $$2Author$$aimage sequence processing
000030346 65320 $$2Author$$amotion analysis
000030346 65320 $$2Author$$amotility assay
000030346 65320 $$2Author$$anoise
000030346 7001_ $$0P:(DE-HGF)0$$aWeber, C.$$b1
000030346 7001_ $$0P:(DE-HGF)0$$aJähne, B.$$b2
000030346 7001_ $$0P:(DE-HGF)0$$aFink, R. H. A.$$b3
000030346 7001_ $$0P:(DE-Juel1)129394$$aScharr, H.$$b4$$uFZJ
000030346 773__ $$0PERI:(DE-600)2001934-8$$a10.1117/1.1527627$$gVol. 8, p. 40 - 47$$p40 - 47$$q8<40 - 47$$tJournal of biomedical optics$$v8$$x1083-3668$$y2003
000030346 8567_ $$uhttp://dx.doi.org/10.1117/1.1527627
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000030346 9141_ $$y2003
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