@article {2146,
	title = {A principal skeleton algorithm for standardizing confocal images of fruit fly nervous systems.},
	journal = {Bioinformatics},
	volume = {26},
	year = {2010},
	month = {2010 Apr 15},
	pages = {1091-7},
	abstract = {<p>The fruit fly (Drosophila melanogaster) is a commonly used model organism in biology. We are currently building a 3D digital atlas of the fruit fly larval nervous system (LNS) based on a large collection of fly larva GAL4 lines, each of which targets a subset of neurons. To achieve such a goal, we need to automatically align a number of high-resolution confocal image stacks of these GAL4 lines. One commonly employed strategy in image pattern registration is to first globally align images using an affine transform, followed by local non-linear warping. Unfortunately, the spatially articulated and often twisted LNS makes it difficult to globally align the images directly using the affine method. In a parallel project to build a 3D digital map of the adult fly ventral nerve cord (VNC), we are confronted with a similar problem.</p>
},
	keywords = {Algorithms, Animals, Cell Line, Computer-Assisted, Confocal, Drosophila melanogaster, Image Processing, Imaging, Microscopy, Nervous System, Three-Dimensional},
	issn = {1367-4811},
	doi = {10.1007/s12021-010-9090-x},
	author = {Qu, Lei and Peng, Hanchuan}
}
