Intraoral Scanner
Intraoral Scanner - Related Videos
04:15
Digitally Guided Intraoral Segmental Mandibulectomy and Fibula Flap Reconstruction for Locally Invasive Odontogenic Tumors
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2026
This protocol demonstrates a reproducible digitally guided workflow for intraoral segmental mandibulectomy and mandibular reconstruction using a free vascularized fibula flap. The method integrates virtual surgical planning with patient-specific guides to achieve precise tumor resection and scar-free reconstruction.
08:25
Using Flatbed Scanners to Collect High-resolution Time-lapsed Images of the Arabidopsis Root Gravitropic Response
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Cited by 5 •
2014
This protocol describes a process for rapid collection of images of Arabidopsis seedlings responding to a gravity stimulus using commercially-available flatbed scanners. The method allows for inexpensive, high-volume capture of high-resolution images amenable for downstream analysis algorithms.
11:16
A Novel Procedure for Evaluating the Reinforcing Properties of Tastants in Laboratory Rats: Operant Intraoral Self-administration
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Cited by 11 •
2014
The current study evaluates a novel procedure for assessing the reinforcing effects of palatable solutions in laboratory rats: intraoral self-administration. To this end, operant responding (i.e. lever pressing) for intraoral infusions of sweet solutions at different concentrations was measured on continuous and progressive ratios schedules of reinforcement.
07:01
Frequency Mixing Magnetic Detection Scanner for Imaging Magnetic Particles in Planar Samples
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Cited by 5 •
2016
A scanner for imaging magnetic particles in planar samples was developed using the planar frequency mixing magnetic detection technique. The magnetic intermodulation product response from the nonlinear nonhysteretic magnetization of the particles is recorded upon a two-frequency excitation. It can be used to take 2D images of thin biological samples.
09:34
Semi-Automated Planimetric Quantification of Dental Plaque Using an Intraoral Fluorescence Camera
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Cited by 7 •
2023
This study presents a semi-automated digital image analysis procedure for the planimetric quantification of disclosed dental plaque based on images acquired with an intraoral fluorescence camera. The method allows for the rapid and reliable quantification of dental plaque in the research environment.
FAQs
The device illuminates oral surfaces and records reflected light from multiple viewpoints rather than relying on a single image. Image-processing algorithms compare and align these overlapping frames, allowing the system to assemble spatial information into a continuous digital surface. This viewpoint-based reconstruction is important because the final model depends on both optical measurements and computational alignment.
These engineering elements determine how reliably reflected light becomes usable geometric data. Optical components provide illumination and image formation, sensors capture the returning signal, and calibration supports consistent spatial interpretation across measurements. Their combined performance influences the quality of the reconstructed surface, which affects later visualization, assessment, and computer-aided design.
A polygonal mesh represents the reconstructed oral surface as connected geometric elements that software can display and process. It converts the scanner’s aligned image data into a practical digital model for visualization, quality assessment, and computer-aided design. Because the mesh is the working geometric representation, its integrity directly affects downstream digital workflows.
A typical workflow begins with illuminating the teeth, gingiva, and other oral structures while recording reflected light from successive viewpoints. The collected frames are then aligned computationally to reconstruct a digital surface model, often as a polygonal mesh. That model can be visualized, assessed, transferred rapidly, and used in computer-aided design and manufacturing.
It can be useful when a digital record offers advantages over producing or handling a conventional physical impression. The approach may reduce reliance on physical impressions while enabling rapid data transfer, direct visualization, and digital quality assessment. These capabilities support workflows in which clinicians or engineers need an immediately accessible representation of oral geometry.
The captured geometry provides digital input for computer-aided design and manufacturing of crowns, aligners, prostheses, and surgical guides. In biomedical engineering, the system illustrates how optical sensing, calibration, image processing, and geometric reconstruction operate together in a practical device. Its outputs connect physical oral structures with downstream design and fabrication workflows.