INVESTIGADORES
ADUR Javier Fernando
artículos
Título:
Development of methods for deconvolution algorithms performance analysis using FIJI and Icy plugins
Autor/es:
ERBES, LUCIANA; ZEITOUNE, ANGEL A.; CASCO VH; ADUR J
Revista:
SPIE
Editorial:
SPIE
Referencias:
Año: 2017
ISSN:
0277-786X
Resumen:
The analysis of deconvolution algorithms performance is crucial when is wanted to use deconvolution as an effectiveimage restoration approach. The performance of deconvolution algorithms available in Open Source software wascompared by using three-dimensional (3D) microscopy images. DeconvolutionLab and MitivBlindDeconvolution werethe plugins chosen from FIJI and Icy respectively. In the first place, analyses included 3D bead stack measurements bothpre- and post-deconvolution by using theoretical and empirical Point Spread Functions (PSFs) as well as parametervariation. The set of parameters that resulted in the improvement of both the 3D morphology and intensity of the beadswas applied to 3D autofluorescence colon tissue images from BALB/c mice to evaluate if original morphology andintensity features were restored.
