mb-FLIM: model-based fluorescence lifetime imaging

Qiaole Zhao; Ian Ted Young; Raymond Schouten; Sjoerd Stallinga; Kees Jalink; Sander de Jong

doi:10.1117/12.905358

9 February 2012 mb-FLIM: model-based fluorescence lifetime imaging

Qiaole Zhao, Ian Ted Young, Raymond Schouten, Sjoerd Stallinga, Kees Jalink, Sander de Jong

Proceedings Volume 8225, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues X; 82250M (2012) https://doi.org/10.1117/12.905358
Event: SPIE BiOS, 2012, San Francisco, California, United States

Abstract

We have developed a model-based, parallel procedure to estimate fluorescence lifetimes. Multiple frequencies are present in the excitation signal. Modeling the entire fluorescence and measurement process produces an analytical ratio of polynomials in the lifetime variable τ. A non-linear model-fitting procedure is then used to estimate τ. We have analyzed this model-based approach by simulating a 10 μM fluorescein solution (τ = 4 ns) and all relevant noise sources. We have used real LED data to drive the simulation. Using 240 μs of data, we estimate τ = 3.99 ns. Preliminary experiments on real fluorescent images taken from fluorescein solutions (measured τ = 4.1 ns), green plastic test slides (measured τ = 3.0 ns), and GFP in U2OS (osteosarcoma) cells (measured τ = 2.1 ns) demonstrate that this model-based measurement technique works.

Citation Download Citation

Qiaole Zhao, Ian Ted Young, Raymond Schouten, Sjoerd Stallinga, Kees Jalink, and Sander de Jong "mb-FLIM: model-based fluorescence lifetime imaging", Proc. SPIE 8225, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues X, 82250M (9 February 2012); https://doi.org/10.1117/12.905358

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KEYWORDS

Light emitting diodes

Clocks

Model-based design

Fluorescence lifetime imaging

Luminescence

Molecules

Green fluorescent protein

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