Dynamics of individual deoxyribonucleic acid molecules visualized in situ with shear strain

Philip LeDuc, Andrew Tsourkas, Denis Wirtz, Gang Bao

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Many groups have investigated macromolecular dynamics under strain in the past due to its importance in numerous fields. The prediction of the conformation of individual molecules in shear is still heartily discussed today. We report the first real-time imaging of the dynamics of individual DNA molecules under a well-defined shear flow. Individual DNA molecules are placed under a shear flow while visualizing their complex dynamic conformations in real-time. DNA molecules are larger than the micrometer scale and thus can be visualized using optical microscopy via fluorochromes. This novel experiment allows us to understand the structural deformations of individual DNA molecules. This opens up a new world of real-time visualization of individual polymers under shear and reveals a completely new and fundamental insight into the behavior of individual polymers under shear with potential applications in fields from biology, to mechanics, to medicine.

Original languageEnglish (US)
Title of host publicationAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
PublisherIEEE
Number of pages1
ISBN (Print)0780356756
StatePublished - Dec 1 1999
EventProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS) - Atlanta, GA, USA
Duration: Oct 13 1999Oct 16 1999

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume2
ISSN (Print)0589-1019

Other

OtherProceedings of the 1999 IEEE Engineering in Medicine and Biology 21st Annual Conference and the 1999 Fall Meeting of the Biomedical Engineering Society (1st Joint BMES / EMBS)
CityAtlanta, GA, USA
Period10/13/9910/16/99

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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