@inproceedings{904bbc4ec2e8420eb327b79ffbd9078e,
title = "A hybrid registration approach for matching genomic structures in multimodal microscopic images of living cells",
abstract = "A new registration approach is presented for matching genomic structures in time lapse microscopy images of living cells which have been labeled with fluorescent protein. Registration of microscopic images is a difficult problem due to signal weakness and low resolution of structures of interest. With this in mind we have developed a hybrid approach that matches two time point images by deformation based on corresponding control points from two different microscopic modalities. This approach is robust because it can also be initialized by the point correspondences established by our previously published method [2-3]. We discuss several choices for the deformation technique and present experimental results which rank them on accuracy as evaluated by an expert user.",
keywords = "Biological living cells, Feature extraction, Image registration, Microscopy",
author = "S. Bhattacharya and R. Acharya and A. Pliss and Malyavantham, \{K. S.\} and R. Berezney",
year = "2008",
language = "English",
isbn = "1601320787",
series = "Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008",
pages = "217--221",
booktitle = "Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008",
note = "2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008 ; Conference date: 14-07-2008 Through 17-07-2008",
}