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The Matlab code I wrote for the solution of the Generalized Sparrow Criterion between two point-spread functions in noisy image data for the publications:

Pascal Vallotton, Aaron Ponti, Clare Waterman, Ted Salmon, Gaudy Danuser "Recovery, Visualization, and Analysis of Actin and Tubulin Polymer Flow in Live Cells: A Fluorescent Speckle Microscopy Study (2003)" and Aaron Ponti, Alex Matov, Mike Adams, Steph Gupton, Clare Waterman, Gaudy Danuser "Periodic Patterns of Actin Turnover in Lamellipodia and Lamellae of Migrating Epithelial Cells Analyzed by Quantitative Fluorescent Speckle Microscopy (2005)"

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www.researchgate.net/publication/387029369_Modulation_of_the_Cytoskeleton_for_Cancer_Therapy

Topics

inflection-point bessel-function intensity-curvature jacobian-matrix diffraction-limited-spots difference-of-gaussian scale-space-feature-detection resolution-limit low-snr fluorescent-speckle-microscopy point-spread-function-fitting objective-function-optimization generalized-sparrow-limit detection-success-rate change-of-sign-2nd-derivative airy-disk-modeling subresolution-cluster-fluorophores feature-fusion-due-to-noise computationally-inexpensive-detection

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