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A Fluorescence Fluctuation Spectroscopy Assay of Protein-Protein Interactions at Cell-Cell Contacts

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Blind deconvolution estimation of fluorescence measurements through quadratic programming.

Daniel U Campos-Delgado¹, Omar Gutierrez-Navarro¹, Edgar R Arce-Santana¹

¹Universidad Autonoma de San Luis Potosi, Facultad de Ciencias, San Luis Potosi C.P 78290, Mexico.

Journal of Biomedical Optics

|July 30, 2015

Summary

This study introduces a new blind deconvolution estimation (BDE) algorithm for fluorescence lifetime imaging microscopy (FLIM). The method accurately estimates instrument response without prior knowledge, improving lifetime measurements in biological samples.

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Area of Science:

Optics and Photonics
Biomedical Imaging
Computational Science

Background:

Accurate fluorescence lifetime estimation in FLIM requires time-deconvolution of the instrument response.
The instrument response is often unavailable, necessitating blind deconvolution approaches.

Purpose of the Study:

To develop an iterative blind deconvolution estimation (BDE) algorithm for FLIM data when the instrument response is unknown.
To accurately estimate fluorescence impulse response and improve lifetime measurements in complex biological samples.

Main Methods:

A novel iterative methodology using Laguerre functions to model the fluorescence impulse response.
Formulation as a quadratic approximation problem solved with an alternating least-squares scheme.
Global search for instrument response samples and local optimization for basis function coefficients.

Main Results:

The BDE algorithm effectively performs blind deconvolution on FLIM data.
Validation with synthetic and experimental datasets (atherosclerotic plaques, breast cancer cells) shows advantages under various noise conditions.
Accurate estimation of instrument response and fluorescence lifetimes was achieved.

Conclusions:

The proposed BDE algorithm offers a robust solution for blind deconvolution in FLIM.
It enables accurate fluorescence lifetime estimation even without prior knowledge of the instrument response.
The method demonstrates significant potential for applications in biological and medical imaging.