Analysis of the influence of focal length on dental photography produced with different smartphones

• Grant number: 24/23307-9
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: April 01, 2025
• End date: December 31, 2025
• Field of knowledge: Health Sciences - Dentistry - Dental Clinics
• Principal Investigator: Marcio Katsuyoshi Mukai
• Grantee: Giovanna Kamel Sakr
• Host Institution: Faculdade de Odontologia (FO). Universidade de São Paulo (USP). São Paulo , SP, Brazil

Abstract

Dental photography has become an essential tool in the daily routine of the dentist, being useful for legal, communicative, and case planning purposes. With the development of smartphone camera quality and the practicality associated with them, there is a growing interest in using smartphones for dental photography. However, smartphones have different tools compared to digital cameras, which have well-established parameters in the scientific literature. Therefore, there is still a need to assess the factors that interfere with the quality of images produced by smartphone cameras, such as the distance between the lens and the object, which is the focus of this project. For this, 16 anthropometric points will be marked on a mannequin head (SMEXPOSITORES), and a Samsung Galaxy A22 5G 2021 (Samsung Electronics Co., Ltd, Suwon, South Korea) and an iPhone SE 2020 (Apple Inc., CA, USA) will be placed on a tripod (Manfrotto) to take photographs at eight different distances at the same height and with the same lighting parameters. Using the same devices, photographs will also be taken at eight different distances from an articulated mannequin with teeth (P-Oclusal) with horizontal and vertical markings. These photographs will be compared with the standard from the scientific literature, which is a photograph taken with a Canon EOS 1300D (Rebel T6) camera using an EF 100mm f/2.8L Macro IS USM lens. The photographs will be analyzed using Photoshop software (Adobe Inc. CA, USA), which allows for the calculation of distances between marked points. The data will be tabulated in a spreadsheet in Excel software and submitted to the Shapiro-Wilk normality test, followed by ANOVA or Kruskal-Wallis tests through BioEstat 5.3 software.