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Photobleaching/Photoblinking Differential Equation Model for Fluorescence Microscopy Imaging

Published online by Cambridge University Press:  02 September 2013

J. Miguel Sanches  and
Isabel Rodrigues
J. Miguel Sanches*
Affiliation:
Institute for Systems and Robotics, Av. Rovisco Pais, Torre Norte, 1049-001, Lisboa, Portugal Department of Bioengineering, Lisbon Institute of Technology, University of Lisbon, Portugal
Isabel Rodrigues
Affiliation:
Institute for Systems and Robotics, Av. Rovisco Pais, Torre Norte, 1049-001, Lisboa, Portugal Instituto Superior de Engenharia de Lisboa-ADEETC, R. Conselheiro Emídio Navarro, 1, Ed. 5, 1959-007, Lisboa, Portugal
*
*Corresponding author. E-mail: jmrs@ist.utl.pt
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Abstract

Fluorescence images present low signal-to-noise ratio (SNR), are corrupted by a type of multiplicative noise with Poisson distribution, and are affected by a time intensity decay due to photoblinking and photobleaching (PBPB) effects. The noise and the PBPB effects together make long-term biological observation very difficult. Here, a theoretical model based on the underlying quantum mechanic physics theory of the observation process associated with this type of image is presented and the common empirical weighted sum of two decaying exponentials is derived from the model. Improvement in the SNR obtained in denoising when the proposed method is used is particularly important in the last images of the sequence where temporal correlation is used to recover information that is sometimes faded and therefore useless from a visual inspection point of view. The proposed PBPB model is included in a Bayesian denoising algorithm previously proposed by the authors. Experiments with synthetic and real data are presented to validate the PBPB model and to illustrate the effectiveness of the model in denoising and reconstruction results.

Keywords

photobleachingdenoisingBayesianfluorescence microscopy
Type
Portuguese Society for Microscopy
Information
Microscopy and Microanalysis , Volume 19 , Issue 5 , October 2013 , pp. 1110 - 1121
Copyright
Copyright © Microscopy Society of America 2013 

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