Research Papers

Nonlinear anisotropic diffusion filtering of three-dimensional image data from two-photon microscopy

[+] Author Affiliations
Philip. J. Broser

Max-Planck-Institut fu¨r Medizinische Forschung, Abteilung Zellphysiologie, Jahnstr. 29, D-69120?Heidelberg, Germany

Universita¨t Heidelberg, IfI-Simulation in Technology, Im Neuenheimer Feld 368, D-69120?Heidelberg, Germany E-mail: philip.broser@mpimf-heidelberg.mpg.de

R. Schulte, S. Lang

Universita¨t Heidelberg, IfI-Simulation in Technology, Im Neuenheimer Feld 368, D-69120?Heidelberg, Germany

A. Roth Fritjof, Helmchen Waters, J.

Max-Planck-Institut fu¨r Medizinische Forschung, Abteilung Zellphysiologie, Jahnstr. 29, D-69120?Heidelberg, Germany

Bert Sakmann

Max-Planck-Institut fu¨r Medizinische Forschung, Abteilung Zellphysiologie, Jahnstr. 29, D-69120?Heidelberg, Germany

G. Wittum

Universita¨t Heidelberg, IfI-Simulation in Technology, Im Neuenheimer Feld 368, D-69120?Heidelberg, Germany

J. Biomed. Opt. 9(6), 1253-1264 (Nov 01, 2004). doi:10.1117/1.1806832
History: Received Jan. 27, 2004; Revised May 10, 2004; Accepted May 10, 2004; Online November 22, 2004
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Two-photon microscopy in combination with novel fluorescent labeling techniques enables imaging of three-dimensional neuronal morphologies in intact brain tissue. In principle it is now possible to automatically reconstruct the dendritic branching patterns of neurons from 3-D fluorescence image stacks. In practice however, the signal-to-noise ratio can be low, in particular in the case of thin dendrites or axons imaged relatively deep in the tissue. Here we present a nonlinear anisotropic diffusion filter that enhances the signal-to-noise ratio while preserving the original dimensions of the structural elements. The key idea is to use structural information in the raw data—the local moments of inertia—to locally control the strength and direction of diffusion filtering. A cylindrical dendrite, for example, is effectively smoothed only parallel to its longitudinal axis, not perpendicular to it. This is demonstrated for artificial data as well as for in vivo two-photon microscopic data from pyramidal neurons of rat neocortex. In both cases noise is averaged out along the dendrites, leading to bridging of apparent gaps, while dendritic diameters are not affected. The filter is a valuable general tool for smoothing cellular processes and is well suited for preparing data for subsequent image segmentation and neuron reconstruction. © 2004 Society of Photo-Optical Instrumentation Engineers.

© 2004 Society of Photo-Optical Instrumentation Engineers

Citation

Philip. J. Broser ; R. Schulte ; S. Lang ; A. Roth Fritjof ; Helmchen Waters, et al.
"Nonlinear anisotropic diffusion filtering of three-dimensional image data from two-photon microscopy", J. Biomed. Opt. 9(6), 1253-1264 (Nov 01, 2004). ; http://dx.doi.org/10.1117/1.1806832


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