Model-convolution approach to modeling fluorescent protein dynamics

B. L. Sprague, Melissa K Gardner, C. G. Pearson, P. S. Maddox, K. Bloom, E. D. Salmon, David J Odde

Research output: Contribution to journalArticle

6 Citations (Scopus)

Abstract

Fluorescence microscopy is a popular technique for visualizing protein dynamics in living cells. However, the precise distribution of fluorophores underlying the observed fluorescence is not always obvious, even after deconvolution, particularly when features on a scale of 250 nm or less are of interest In contrast, quantitative models of protein dynamics predict an actual fluorophore distribution. "Model-Convolution" is a method that bridges this gap by convolving model-predicted fluorophore location data with the point spread function of the microscope system so that simulated images can be generated and directly compared to experimental images. This article offers a practical guide to model-convolution.

Original languageEnglish (US)
Pages (from-to)1821-1825
Number of pages5
JournalConference Record - Asilomar Conference on Signals, Systems and Computers
Volume2
StatePublished - Dec 1 2004

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Convolution
Fluorophores
Proteins
Fluorescence microscopy
Optical transfer function
Deconvolution
Microscopes
Fluorescence
Cells

Cite this

Model-convolution approach to modeling fluorescent protein dynamics. / Sprague, B. L.; Gardner, Melissa K; Pearson, C. G.; Maddox, P. S.; Bloom, K.; Salmon, E. D.; Odde, David J.

In: Conference Record - Asilomar Conference on Signals, Systems and Computers, Vol. 2, 01.12.2004, p. 1821-1825.

Research output: Contribution to journalArticle

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