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Automated matching of genomic structures in microscopic images of living cells using an information theoretic approach

  • SUNY Buffalo
  • Pennsylvania State University

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

5 Scopus citations

Abstract

Advances in microscopic imaging technology have revolutionized biology in recent years by enabling the study of dynamic processes inside living cells. Time-lapse microscopy produces large numbers of sequential images of living cells taken over time. In this paper we describe the novel approaches we have developed to automate and introduce high accuracy to the process of identifying genomic structures in living cells and matching them between consecutive time-points. We derive control points from landmarks within the structures and use the Kulback-Leibler divergence as an information-theoretic approach to correctly resolve potential close matches within the iterative closest point (ICP) algorithm. We also describe the steps needed to extend our techniques to analyze three dimensional voxel images. The approaches we describe are widely applicable in the analysis of time-lapse microscopy data.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages6425-6428
Number of pages4
ISBN (Print)0780387406, 9780780387409
DOIs
StatePublished - 2005
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: Sep 1 2005Sep 4 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period09/1/0509/4/05

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