Ever wondered how digital dental treatments are changing the business?

Let's Explore
the Science Powering This Innovation

Intraoral Scanners combine optics, imaging sensors, and advanced software algorithms to create a highly accurate 3D model of the patient's oral cavity.

Here's how it happens:

•   Optics and Imaging Sensors:

The scanner contains lenses and sensors that are specially designed to record fine surface details of teeth and soft tissues.

•   Light Projection:

Patterns of structured light are projected onto surfaces. By analysing how these patterns distort when they hit the oral structures, the scanner builds a detailed 3D structure .

•   Real-Time Capture:

As the scanner moves within the mouth, images are stitched together instantly on-screen, giving the dentist visual confirmation of coverage.

•   Multi-Axis Maneuverability:

The slim and easy-to-manage tip ensures access even to posterior teeth and hard-to-reach areas.

•   Software Processing:

The captured data is refined using algorithms to correct motion artifacts and reflections, producing a seamless, high-resolution 3D model ready for diagnosis or CAD/CAM integration.

Why Consider Digital Impressions?

Compared to conventional techniques, intraoral scanners offer:

•   Lasting Accuracy -

Eliminating voids, distortions, or discrepancies seen in traditional impressions.

•   Improved Patient Comfort -

No trays, no setting materials — just a quick and comfortable scan.

•   Time Efficiency -

Eliminates impression setting times, enhancing the efficiency of dental procedures.

•   Streamlined Workflows -

Direct integration with CAD/CAM systems for quicker fabrication and delivery.

By combining science and simplicity, intraoral scanners don’t just replace conventional impressions; they elevate the entire dental experience for both clinicians and patients.

To bring this cutting-edge technology to your clinic

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Reference:
Dhull KS, Nagar R, Mathur P, et al. Intraoral Scanners: Mechanism, Applications, Advantages and Limitations. J Pharm Bioallied Sci. 2014;16(Suppl 3):S1929-S1931. doi:10.4103/jpbs.jpbs_1299_23