Motion tracking and intensity surface recovery in microscopic nuclear images

Authors:
Lopamudra Mukherjee;Mingen Lin;Jinhui Xu;Ronald Berezney
Affiliations:
Department of Computer Science, State University of New York at Buffalo;Department of Computer Science, State University of New York at Buffalo;Department of Computer Science, State University of New York at Buffalo;Department of Biological Sciences, State University of New York at Buffalo
Venue:
MICCAI'05 Proceedings of the 8th international conference on Medical Image Computing and Computer-Assisted Intervention - Volume Part I
Year:
2005

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Abstract

Current techniques for microscopic imaging do not provide necessary spatial and temporal resolutions for real time visualization of the nucleus. Images can only be acquired in time lapse mode, leading to significant loss of information between image frames. Such data, if available, can be extremely helpful in the study of nuclear organization and function. In this paper, we present a gamut of geometric-technique-based approaches for solving the problem. Our techniques, working together, can effectively recover complicated motion and deformation as well as the change of intensity surfaces from pairs of images in a microscopic image sequence, and has low time complexity, particularly desirable by many biological applications where large amount of DNA need to be processed. These techniques are also readily applicable to other types of images for reconstructing motion and intensity surfaces of deformable objects.