Purpose: Evaluate how the spherical glass mega fillers (SGMFs) can positively interfere with light diffusion when incorporated in a composite restoration.
Materials And Methods: 30 samples (Ss) were performed, applying 2 composite layers of 3 mm each: 6 were made with composite only; 6 with a layer of SGMFs of O1.5mm within the first layer of composite; 6 with 2 overlapping layers of SGMFs of O1.5mm; 6 with a layer of SGMFs of O2mm; 6 with 2 overlapping layers of SGMFs of O2mm. The curing time was set at 40s for the first layer, and 120s for the second layer, transilluminated through the first layer. Digital pictures were taken, in standardized settings, during the transillumination, and the light intensity was measured with a digital image analysis software.
Results: From a lateral view the Ss with a single layer of SGMFs of O1.5mm and O2mm, the relative increments of light intensity, were of 24.37% and 33.33% respectively. Concerning the Ss made with 2 layers of SGMFs, the relative increments were of 67.99% and 66.4% respectively. In front view has emerged a relative increase rate of light intensity of 53.66% and 79.58%, in the Ss with a single layer of SGMFs of O1.5mm and of O2mm respectively. Furthermore, in the Ss with two layers of SGMFs of O1.5mm and O2mm the relative increments were of 267.53 and 319.63% respectively.
Conclusion: The SGMFs are reliable in facilitating light diffusion within the light-curing composite resins.
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC5333743 | PMC |
http://dx.doi.org/10.11138/orl/2016.9.1S.080 | DOI Listing |
Oral Implantol (Rome)
February 2017
Department of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.
Oral Implantol (Rome)
February 2017
Department of Medicine and Surgery, University of Milan-Bicocca, Milan, Italy.
Appl Opt
January 2005
Department of Electrical Engineering, Alabama A&M University, Normal, Alabama 35762, USA.
The matched filter (MF) is the optimum linear operator for distinguishing between a fixed signal and noise, given the noise statistics. A generalized matched filter (GMF) is a linear filter that can handle the more difficult problem of a multiple-example signal set, and it reduces to a MF when the signal set has only one member. A supergeneralized matched filter (SGMF) is a set of GMFs and a procedure to combine their results nonlinearly to handle the multisignal problem even better.
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