Heffel Andreas, Stadler Peter F, Prohaska Sonja J, Kauer Gerhard, Kuska Jens-Peer
Interdisciplinary Centre for Bioinformatics, University of Leipzig, Härtelstraβe 16-18, 04107 Leipzig.
Proc Int Conf Image Proc. 2008 Dec 12;1(1):721-724. doi: 10.1109/ICIP.2008.4711856.
The rapidly growing collection of fruit fly embryo images makes automated Image Segmentation and classification an indispensable requirement for a large-scale analysis of in situ hybridization (ISH) - gene expression patterns (GEP). We present here such an automated process flow for Segmenting, Classification, and Clustering large-scale sets of Drosophila melanogaster GEP that is capable of dealing with most of the complications implicated in the images.
果蝇胚胎图像数量的迅速增长，使得自动图像分割和分类成为大规模分析原位杂交（ISH）基因表达模式（GEP）不可或缺的要求。我们在此展示了这样一个用于分割、分类和聚类黑腹果蝇GEP大规模数据集的自动化流程，该流程能够处理图像中涉及的大多数复杂情况。
