A detection-based framework for the analysis of recycling in TIRF microscopy

Authors:
A. Chessel;B. Cinquin;S. Bardin;J. Boulanger;J. Salamero;C. Kervrann
Affiliations:
"Cell and Tissue Imaging Facility" - IBISA, Institut Curie, Paris and UMR CNRS - Institut Curie, Paris;UMR CNRS - Institut Curie, Paris and Soleil Synchrotron, Gif-sur-Yvette;UMR CNRS - Institut Curie, Paris;"Cell and Tissue Imaging Facility" - IBISA, Institut Curie, Paris and RICAM, Linz, Austria;"Cell and Tissue Imaging Facility" - IBISA, Institut Curie, Paris and UMR CNRS - Institut Curie, Paris;INRIA Centre Rennes - Bretagne Atlantique, Rennes and INRA, Mathématiques et Informatique Appliquées, Jouy-en-Josas
Venue:
ISBI'10 Proceedings of the 2010 IEEE international conference on Biomedical imaging: from nano to Macro
Year:
2010

Citing 4
Cited 0

Meaningful Alignments

International Journal of Computer Vision - Special issue on statistical and computational theories of vision: modeling, learning, sampling and computing, Part I
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Abstract

Endocytosis/recycling and exocytosis are mechanisms conserved through evolution allowing cells to communicate with their external medium. In order to study these dynamic processes, the present work proposes a patch-based method for detecting recycling or exocytotic events at the Plasma membrane in fast TIRF microscopy combined with the computation of normalized temporal representations of those events. Evaluation, performed on TIRF sequences showing Transferrin receptor (TfR) recycling, validates a high detection rate fully compatible with an automatic data extraction and analysis of the plasma membrane recycling process.