Applications

Why Choose MeshLib SDK?

MeshLib is built with speed and efficiency in mind, making it the go-to solution for developers looking to integrate high-performance 3D data processing into their applications. Whether you’re working in dental, manufacturing, or 3D printing, MeshLib’s powerful C++ algorithms and flexible API options deliver the performance and reliability you need to innovate and grow your business.

Create your application using MeshLib SDK

Dental software

Challenge

Developing a dental application that can handle intricate 3D models of teeth and prosthetics with precision, speed, and efficiency—essential for creating custom dental devices like crowns, bridges, and implants.

Solution

Boolean Operations

Instantly merge or subtract complex shapes with unparalleled precision. MeshLib's Boolean algorithms outperform traditional solutions by handling complex geometries without delays, ensuring seamless integration  of dental implants with existing teeth models.

Offset Function

Create exact spacing between dental components, critical for prosthetic fit and patient comfort. MeshLib’s Offset algorithm calculates the necessary adjustments in milliseconds, making it ideal for applications that require real-time feedback.

Mesh Healing

Automatically detect and repair defects such as holes, non-manifold edges, and self-intersections in seconds. This ensures  that models are ready for 3D printing or further design modifications without compromising quality.

Outcome

Developers using MeshLib can create dental software that produces custom-fit devices quickly and accurately. The result is improved workflow efficiency, higher product quality, and enhanced patient outcomes—all while reducing development and operational costs.

Patient-Specific Software with MeshLib SDK

Challenge

Developing patient-specific medical applications requires highly precise 3D models generated from CT or MRI scans. These models must accurately reflect unique anatomical structures while being free from defects like holes or self-intersections. Additionally, creating optimized, patient-specific designs for implants, prosthetics, or surgical guides deman.

Solution

Voxel-to-Mesh Conversion

is crucial for turning raw medical data into accurate 3D models that reflect the unique anatomical structures of each patient. This precision is essential for applications such as custom implants, surgical guides, and prosthetics.

Mesh Healing

Ensures that the models generated from medical scans are defect-free and ready for manufacturing. This is particularly important when producing 3D-printed parts, where even minor defects can lead to production issues and compromised quality.

Boolean Operations

Enable advanced modeling capabilities, such as creating complex shapes that fit perfectly with existing anatomical structures. This is vital for designing implants or prosthetics that require custom fits.

Offsetting and Decimation

Allow for precise adjustments to the model’s geometry, such as controlling the wall thickness of an implant or reducing mesh complexity for efficient processing. These features ensure the final product is both functional and optimized for manufacturing.

Outcome

MeshLib is designed to handle large-scale medical data efficiently, making it an ideal choice for developing patient-specific applications. Its robust and versatile toolset provides developers with the flexibility needed to create customized medical solutions that are both accurate and reliable, significantly improving patient outcomes and streamlining the development process.

Additive manufacturing software

Challenge

Optimizing raw 3D scans for printing can be time-consuming and prone to errors, leading to delays and increased costs. Traditional software often struggles with processing complex models quickly and accurately.

Solution

MeshLib SDK accelerates and simplifies the process of preparing 3D models for printing:

Mesh Healing

Detect and repair common mesh issues such as holes, overlapping faces, and degenerate triangles in milliseconds. This ensures that models are watertight and print-ready without manual intervention.

Decimation and Offset

Reduce the complexity of models while preserving critical features, and apply precise offsets to ensure the correct thickness for 3D printing. MeshLib’s algorithms execute these operations almost instantly, preventing bottlenecks in the workflow.

Boolean Operations

Efficiently combine or separate parts of a model, ideal for creating complex assemblies or hollow structures. MeshLib handles these tasks in real time, significantly reducing the time required for model preparation.

Outcome

3D printing software powered by MeshLib can handle complex model preparation faster than ever before, enabling users to achieve high-quality, accurate prints with less effort. This leads to shorter production cycles, reduced costs, and a competitive edge in the market.

CT Scanner Software

Challenge

CT scanners capture vast volumes of data, which require high-resolution reconstructions and precise mesh generation. Without the right tools, transforming CT data into usable 3D models can be slow and prone to error, complicating applications in healthcare, industrial inspection, and research.

Solution

MeshLib SDK offers robust tools tailored to handle large CT data with efficiency and precision:

CT Reconstruction and Volume Rendering

Enables high-quality reconstruction of volumetric data, transforming slices into dense, detailed 3D models for further analysis.

Iso-value Adjustment

Adjusts the thresholding of scanned data to isolate specific anatomical structures or material densities, perfect for customized segmentation.

Voxel-to-Mesh Conversion

Converts CT volumes into accurate 3D mesh models that capture detailed anatomical or material features.

Mesh Healing

Detects and corrects mesh issues automatically, ensuring that output models are watertight and error-free, ready for analysis or 3D printing.

Outcome

Developers utilizing MeshLib can create CT scanner software that’s precise, fast, and reliable, empowering healthcare and industrial users to process complex scans with accuracy, reduce operational delays, and deliver better outcomes.

LiDAR Scanner Software

Challenge

Processing LiDAR data requires cleaning, aligning, and converting point clouds into useful 3D models. Traditional software can struggle with registration, error correction, and data volume, creating challenges for applications in surveying, urban planning, and autonomous navigation.

Solution

MeshLib SDK is equipped with specialized algorithms to handle massive LiDAR datasets effectively:

Global Registration and Alignment

Aligns multiple point clouds into a cohesive, unified model, streamlining the processing of large, complex scans.

Point Cloud Cleanup

Removes outliers and noise, ensuring data clarity and precision.

Point Sampling and Triangulation

Reduces point density for efficiency and converts point clouds into meshes, providing a structured 3D representation.

Mesh Healing

Repairs any defects introduced during triangulation, producing watertight, optimized models ready for further analysis.

Outcome

LiDAR applications built with MeshLib’s SDK are efficient and robust, allowing users to quickly clean, align, and convert raw LiDAR data into valuable 3D models. This enables faster decision-making, reduces data processing times, and offers significant value in fields such as geospatial analysis and environmental monitoring.

Have questions?

Applications

Why Choose MeshLib SDK?

Create your application using MeshLib SDK

Dental software

Challenge

Solution

Boolean Operations

Instantly merge or subtract complex shapes with unparalleled precision. MeshLib's Boolean algorithms outperform traditional solutions by handling complex geometries without delays, ensuring seamless integration of dental implants with existing teeth models.

Offset Function

Create exact spacing between dental components, critical for prosthetic fit and patient comfort. MeshLib’s Offset algorithm calculates the necessary adjustments in milliseconds, making it ideal for applications that require real-time feedback.

Mesh Healing

Automatically detect and repair defects such as holes, non-manifold edges, and self-intersections in seconds. This ensures that models are ready for 3D printing or further design modifications without compromising quality.

Outcome

Developers using MeshLib can create dental software that produces custom-fit devices quickly and accurately. The result is improved workflow efficiency, higher product quality, and enhanced patient outcomes—all while reducing development and operational costs.

Patient-Specific Software with MeshLib SDK

Challenge

Solution

Voxel-to-Mesh Conversion

is crucial for turning raw medical data into accurate 3D models that reflect the unique anatomical structures of each patient. This precision is essential for applications such as custom implants, surgical guides, and prosthetics.

Mesh Healing

Ensures that the models generated from medical scans are defect-free and ready for manufacturing. This is particularly important when producing 3D-printed parts, where even minor defects can lead to production issues and compromised quality.

Boolean Operations

Enable advanced modeling capabilities, such as creating complex shapes that fit perfectly with existing anatomical structures. This is vital for designing implants or prosthetics that require custom fits.

Offsetting and Decimation

Allow for precise adjustments to the model’s geometry, such as controlling the wall thickness of an implant or reducing mesh complexity for efficient processing. These features ensure the final product is both functional and optimized for manufacturing.

Outcome

Additive manufacturing software

Challenge

Solution

Mesh Healing

Detect and repair common mesh issues such as holes, overlapping faces, and degenerate triangles in milliseconds. This ensures that models are watertight and print-ready without manual intervention.

Decimation and Offset

Reduce the complexity of models while preserving critical features, and apply precise offsets to ensure the correct thickness for 3D printing. MeshLib’s algorithms execute these operations almost instantly, preventing bottlenecks in the workflow.

Boolean Operations

Efficiently combine or separate parts of a model, ideal for creating complex assemblies or hollow structures. MeshLib handles these tasks in real time, significantly reducing the time required for model preparation.

Outcome

3D printing software powered by MeshLib can handle complex model preparation faster than ever before, enabling users to achieve high-quality, accurate prints with less effort. This leads to shorter production cycles, reduced costs, and a competitive edge in the market.

CT Scanner Software

Challenge

Solution

CT Reconstruction and Volume Rendering

Enables high-quality reconstruction of volumetric data, transforming slices into dense, detailed 3D models for further analysis.

Iso-value Adjustment

Adjusts the thresholding of scanned data to isolate specific anatomical structures or material densities, perfect for customized segmentation.

Voxel-to-Mesh Conversion

Converts CT volumes into accurate 3D mesh models that capture detailed anatomical or material features.

Mesh Healing

Detects and corrects mesh issues automatically, ensuring that output models are watertight and error-free, ready for analysis or 3D printing.

Outcome

Developers utilizing MeshLib can create CT scanner software that’s precise, fast, and reliable, empowering healthcare and industrial users to process complex scans with accuracy, reduce operational delays, and deliver better outcomes.

LiDAR Scanner Software

Challenge

Solution

Global Registration and Alignment

Aligns multiple point clouds into a cohesive, unified model, streamlining the processing of large, complex scans.

Point Cloud Cleanup

Removes outliers and noise, ensuring data clarity and precision.

Point Sampling and Triangulation

Reduces point density for efficiency and converts point clouds into meshes, providing a structured 3D representation.

Mesh Healing

Repairs any defects introduced during triangulation, producing watertight, optimized models ready for further analysis.

Outcome

Have questions?

Instantly merge or subtract complex shapes with unparalleled precision. MeshLib's Boolean algorithms outperform traditional solutions by handling complex geometries without delays, ensuring seamless integration  of dental implants with existing teeth models.

Automatically detect and repair defects such as holes, non-manifold edges, and self-intersections in seconds. This ensures  that models are ready for 3D printing or further design modifications without compromising quality.