Development of methods for deconvolution algorithms performance analysis using FIJI and Icy plugins

Luciana A. Erbes; Ángel A. Zeitoune; Víctor H. Casco; Javier Adur

doi:10.1117/12.2255820

26 January 2017 Development of methods for deconvolution algorithms performance analysis using FIJI and Icy plugins

Luciana A. Erbes, Ángel A. Zeitoune, Víctor H. Casco, Javier Adur

Proceedings Volume 10160, 12th International Symposium on Medical Information Processing and Analysis; 101600I (2017) https://doi.org/10.1117/12.2255820
Event: 12th International Symposium on Medical Information Processing and Analysis, 2016, Tandil, Argentina

Abstract

The analysis of deconvolution algorithms performance is crucial when is wanted to use deconvolution as an effective image restoration approach. The performance of deconvolution algorithms available in Open Source software was compared by using three-dimensional (3D) microscopy images. DeconvolutionLab and MitivBlindDeconvolution were the plugins chosen from FIJI and Icy respectively. In the first place, analyses included 3D bead stack measurements both pre- and post-deconvolution by using theoretical and empirical Point Spread Functions (PSFs) as well as parameter variation. The set of parameters that resulted in the improvement of both the 3D morphology and intensity of the beads was applied to 3D autofluorescence colon tissue images from BALB/c mice to evaluate if original morphology and intensity features were restored.

Citation Download Citation

Luciana A. Erbes, Ángel A. Zeitoune, Víctor H. Casco, and Javier Adur "Development of methods for deconvolution algorithms performance analysis using FIJI and Icy plugins", Proc. SPIE 10160, 12th International Symposium on Medical Information Processing and Analysis, 101600I (26 January 2017); https://doi.org/10.1117/12.2255820

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