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European Biophysics Journal

, 40:1167 | Cite as

Automated multidimensional single molecule fluorescence microscopy feature detection and tracking

  • Daniel J. Rolfe
  • Charles I. McLachlan
  • Michael Hirsch
  • Sarah R. Needham
  • Christopher J. Tynan
  • Stephen E. D. Webb
  • Marisa L. Martin-Fernandez
  • Michael P. Hobson
Original Paper

Abstract

Characterisation of multi-protein interactions in cellular networks can be achieved by optical microscopy using multidimensional single molecule fluorescence imaging. Proteins of different species, individually labelled with a single fluorophore, can be imaged as isolated spots (features) of different colour light in different channels, and their diffusive behaviour in cells directly measured through time. Challenges in data analysis have, however, thus far hindered its application in biology. A set of methods for the automated analysis of multidimensional single molecule microscopy data from cells is presented, incorporating Bayesian segmentation-based feature detection, image registration and particle tracking. Single molecules of different colours can be simultaneously detected in noisy, high background data with an arbitrary number of channels, acquired simultaneously or time-multiplexed, and then tracked through time. The resulting traces can be further analysed, for example to detect intensity steps, count discrete intensity levels, measure fluorescence resonance energy transfer (FRET) or changes in polarisation. Examples are shown illustrating the use of the algorithms in investigations of the epidermal growth factor receptor (EGFR) signalling network, a key target for cancer therapeutics, and with simulated data.

Keywords

Single molecule microscopy Fluorescence Data analysis Bayesian FRET 

Notes

Acknowledgments

The authors gratefully acknowledge the support of the Biotechnology and Biological Sciences Research Council through grant BB/G006911/1.

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Copyright information

© European Biophysical Societies' Association 2011

Authors and Affiliations

  • Daniel J. Rolfe
    • 1
  • Charles I. McLachlan
    • 2
  • Michael Hirsch
    • 1
  • Sarah R. Needham
    • 1
  • Christopher J. Tynan
    • 1
  • Stephen E. D. Webb
    • 1
  • Marisa L. Martin-Fernandez
    • 1
  • Michael P. Hobson
    • 3
  1. 1.Central Laser Facility, Science and Technology Facilities Council, Research Complex at Harwell, Rutherford Appleton LaboratoryDidcot, OxonUK
  2. 2.Illumina Cambridge Ltd., Chesterford Research Park, Little ChesterfordEssexUK
  3. 3.Astrophysics Group, Cavendish LaboratoryCambridgeUK

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