@article {47511,
	title = {Segmenting and Tracking Multiple Dividing Targets Using ilastik.},
	journal = {Advances in anatomy, embryology, and cell biology},
	volume = {219},
	year = {2016},
	month = {2016 May 21},
	pages = {199-229},
	abstract = {<p>Tracking crowded cells or other targets in biology is often a challenging task due to poor signal-to-noise ratio, mutual occlusion, large displacements, little discernibility, and the ability of cells to divide. We here present an open source implementation of conservation tracking (Schiegg et\&nbsp;al., IEEE international conference on computer vision (ICCV). IEEE, New York, pp\&nbsp;2928-2935, 2013) in the ilastik software framework. This robust tracking-by-assignment algorithm explicitly makes allowance for false positive detections, undersegmentation, and cell division. We give an overview over the underlying algorithm and parameters, and explain the use for a light sheet microscopy sequence of a Drosophila embryo. Equipped with this knowledge, users will be able to track targets of interest in their own data.</p>
},
	issn = {0301-5556},
	doi = {10.1007/978-3-319-28549-8_8},
	author = {Haubold, Carsten and Schiegg, Martin and Kreshuk, Anna and Berg, Stuart and Koethe, Ullrich and Hamprecht, Fred A}
}
