Effect of ocular dominance, clinical experience, and sex on the accuracy of shade selection.

Objective: The study aimed to evaluate the influence of ocular dominance, clinical experience, and sex on the accuracy of visual color matching.

Method And Materials: A total of 104 selected participants consisting of dental students and dental practitioners were allocated into two groups based on their clinical experience of using visual shade matching tabs for the selection of tooth shade. Both the inexperienced (IXP), as well as experienced participants (EXP), were then asked to correctly match the shades of five tabs (A2, A3.

Biofilm models in endodontics-A narrative review.

The knowledge of biofilm and its eradication from the root canal system are of utmost importance in the clinical practice of an endodontist. Various treatment strategies and protocols have been demonstrated and discussed by numerous clinicians and researchers, on these models, that play an important role in the treatment outcome . Once a biofilm model is developed by considering various factors, several methods can be used to assess the biofilms formed on these models.

Nanoparticle technology and its implications in endodontics: a review.

Background: The era of Nanomaterials has had a long lasting impression in the field of medical science. It's excellent use in medicine has led to its application in dental science. Serious concerns regarding the eradication of microbial biofilms from the root canal system still exists in the field of endodontics.

Isolating specific cell and tissue compartments from 3D images for quantitative regional distribution analysis using novel computer algorithms.

Background: Isolating specific cellular and tissue compartments from 3D image stacks for quantitative distribution analysis is crucial for understanding cellular and tissue physiology under normal and pathological conditions. Current approaches are limited because they are designed to map the distributions of synapses onto the dendrites of stained neurons and/or require specific proprietary software packages for their implementation.

New Method: To overcome these obstacles, we developed algorithms to Grow and Shrink Volumes of Interest (GSVI) to isolate specific cellular and tissue compartments from 3D image stacks for quantitative analysis and incorporated these algorithms into a user-friendly computer program that is open source and downloadable at no cost.