Figure - uploaded by Noraina Norman
Content may be subject to copyright.
Source publication
Smartphone cameras have advanced at a rapid rate. With this advancement, it is possible to take high quality orthodontic clinical photographs using a smartphone. The aim of this article is to describe the technique to take orthodontic clinical photographs using a smartphone.
Context in source publication
Similar publications
One of the main requirements for orthodontic treatment is continuous image acquisition. However, the conventional system of orthodontic image acquisition, which includes manual classification, archiving, and monitoring, is time-consuming and prone to errors caused by fatigue. This study is aimed at developing an effective artificial intelligence to...
Citations
... Capturing high-quality clinical photographs is difficult to achieve but can produce an acceptable clinical image. [21] Mobile camera setting suggested in narrative review by Shaharul et al. [23] concluded that mobile camera should be set to manual shooting mode. Adobe Lightroom (third party app) can be used if in case manual mode is absent in smartphone. ...
Dental photography is now an excellent tool that plays a crucial role in dentistry as it helps in documenting and analyzing the oral conditions of patients. Photography provides a visual representation of the teeth, gums, and other oral structures, which aids in diagnosis, treatment planning, and monitoring the progress of treatment. Therefore, it is essential for dental professionals to understand the importance of dental photography and incorporate photography it into regular practice. The purpose of this paper is to provide emphasis and elucidate the path of dental photography easier for dental student and practitioner.
... Estos dispositivos se adaptan a cualquier teléfono inteligente y están equipados con tres grupos de LED (diodos emisores de luz) que pueden ser regulados individualmente. Al revisar la literatura, encontramos evidencia de que con las cámaras de los teléfonos inteligentes se pueden lograr fotografías similares a las obtenidas con cámaras digitales profesionales (3,5,6). ...
A low-cost and reliable analytical method based on the combination of a newly designed Fe3O4@Au as peroxidase mimetics, supported on smartphone analysis software package was proposed for the determination of glucose content in food samples. The nanocomposite was prepared by self-assembling technique, and the characterization was carried out using transmission electron microscopy (TEM), Fourier transforms infrared, and X-ray diffractometer. Record the color change of the solution with a smartphone camera and optimize the operation parameters and reaction conditions. A smartphone with a free self-developed app was accustomed live the RGB (red-greenblue) values of color intensity within the Fe3O4@Au system and were processed with Image J software before computationally convert them glucose concentrations. At the optimization experiment, reaction temperature of 60 °C, reaction time of 50 min and the amount of addition of Fe3O4@Au 0.0125 g was the optimal combination of detecting glucose smartphone color detection system. Hereon, the accuracy of the proposed method was evaluated by comparison between smartphone colorimetry and UV-vis spectrophotometer, a linear calibration in the range of 0.25 ∼ 15 mmol/L glucose was obtained with minimum detection limit of 1.83 and 2.25 μmol/L, respectively. The proposed method was applied effectively to the detection of glucose in actual samples. The results were in accordance with the conventional UV-vis spectrophotometer method.
