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Automatic alignment of stacks of filament data

MPG-Autoren
http://pubman.mpdl.mpg.de/cone/persons/resource/persons84910

Weber B, Gunther D, Oberlaender,  M
Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Zitation

Dercksen, V., Weber B, Gunther D, Oberlaender, M., Prohaska, S., & Hege, H.-C. (2009). Automatic alignment of stacks of filament data. In IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI '09) (pp. 971-974). Piscataway, NJ, USA: IEEE.


Zitierlink: http://hdl.handle.net/11858/00-001M-0000-0013-C3FD-8
Zusammenfassung
We present a fast and robust method for the alignment of image stacks containing filamentous structures. Such stacks are usually obtained by physical sectioning a specimen, followed by an optical sectioning of each slice. For reconstruction, the filaments have to be traced and the sub-volumes aligned. Our algorithm takes traced filaments as input and matches their endpoints to find the optimal transform. We show that our method is able to quickly and accurately align sub-volumes containing neuronal processes, acquired using brightfield microscopy. Our method also makes it possible to align traced microtubuli, obtained from electron tomography data, which are extremely difficult to align manually.