Image Processing Methods for Dynamical Intracellular Processes Analysis in QuantitativeFluorescence Microscopy

Abstract : We propose in this manuscript a study of the instrumentation required for the quantification in frequency domain fluorescence lifetime imaging microscopy (FD FLIM). A FD FLIM measurement is defined as a series of images with sinusoidal intensity variations. The fluorescence lifetime is defined as the nanosecondscale delay between excitation and emission of fluorescence. We propose two main contributions in the area: a modeling of the image process and noise introduced by the acquisition system (ICCD sensor); a robust statistical method for lifetime estimation on moving structures and intracellular vesicles. The second part presents a contribution to the tracking of multiple particles presenting heterogeneous transports in dense conditions. We focus here on the switching between confined diffusion in the cytosol and motormediated active transport in random directions. We show that current multiple model filtering and gating strategies fail at estimating unpredictable transitions between Brownian and directed displacements. We propose a new algorithm, based on the u-track algorithm [Jaqaman et al., 2008], based on a set of Kalman filters adapted to several motion types, for each tracked object. The algorithm has been evaluated on simulated and real data (vimentin, virus) data. We show that our method outperforms competing methods in the targeted scenario, but also on more homogeneous types of dynamics challenged by density.
Complete list of metadatas

Cited literature [168 references]  Display  Hide  Download

https://tel.archives-ouvertes.fr/tel-01103887
Contributor : Charles Kervrann <>
Submitted on : Thursday, January 15, 2015 - 3:52:24 PM
Last modification on : Wednesday, April 11, 2018 - 1:54:36 AM
Long-term archiving on : Saturday, April 15, 2017 - 6:58:22 PM

Identifiers

  • HAL Id : tel-01103887, version 1

Collections

Citation

Philippe Roudot. Image Processing Methods for Dynamical Intracellular Processes Analysis in QuantitativeFluorescence Microscopy. Image Processing [eess.IV]. Universite Rennes 1, 2014. English. ⟨tel-01103887⟩

Share

Metrics

Record views

275

Files downloads

1041