진간 교수
Gan Jin
연세대학교 보철과 · 치의학
연구실 소개
진간 교수의 연구실은 3D 프린팅 기반 치과 재료 및 치료 기술의 정밀도와 생체적합성을 향상시키는 데 초점을 맞추고 있습니다. 수성 세제나 알코올 대신 물을 이용한 세척 기술, 고온의 물 세척이 인체세포 생존율에 미치는 영향, 나노입자 첨가가 치과용 3D 프린팅 레진의 기계적 성질과 표면 특성에 미치는 영향 등 다양한 재료적 특성 최적화 연구를 수행하고 있습니다. 또한, 임플란트 수술 정확도 향상을 위한 뼈 평탄화 드릴 기법과 인오르럴 스캐닝 정확도 평가 등 임상 응용에 기여하는 기술 개발도 함께 진행하고 있습니다.
연구 현황
연구 성과 추이
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
주요 논문
15Three-dimensional (3D) printing, otherwise known as additive manufacturing in a non-technical context, is becoming increasingly popular in the field of dentistry. As an essential step in the 3D printing process, postwashing with organic solvents can damage the printed resin polymer and possibly pose a risk to human health. The development of water-washable dental resins means that water can be used as a washing agent. However, the effects of washing agents and washing times on the mechanical and
Immersing the printed photosensitive dental resins in 100 °C water for 5 min is a suitable method for increasing cytocompatibility and the DC.
This study aimed to determine the influence of the healing abutment (HA), placed at the implant placement site, on the accuracy of intraoral scanning and buccal bite registration in quadrant maxillary and mandibular models when using three types of intraoral scanner (IOS) and elucidate the distribution of arch distortion. Six experimental groups based on whether the HA was connected and the location of missing teeth were digitized using one laboratory scanner (Identica T500) and three IOSs (Trio
OBJECTIVES: This study aimed to develop and validate evaluation metric for an automated smile classification model termed the "smile index." This innovative model uses computational methods to numerically classify and analyze conventional smile types. METHODS: The datasets used in this study consisted of 300 images to verify, 150 images to validate, and 9 images to test the evaluation metric. Images were annotated using Labelme. Computational techniques were used to calculate smile index values
This study investigated the effects of silicon dioxide (SiO₂, silica) particle size on the mechanical, surface, and printing-trueness properties of 3D-printed dental resin. Silica nanoparticles (5-20 nm) and microparticles (0.5-10 μm) were incorporated at 1 wt% and 2 wt% into a commercial 3D-printing resin. The specimens were printed and postprocessed under standard conditions. Particle size distribution was determined using a Particle Size Analyzer. Surface characteristics such as color differe
대표 연구 분야
진간 교수의 연구를 Nubint에서 더 깊이 살펴보세요
이 연구실의 논문을 앱에서 열어 AI와 함께 읽고, 핵심을 요약하고, 내 글에 인용하세요.