Miop: a modular pipeline for 3D reconstruction from scanning electron microscope images
OPEN ACCESS
Loading...
Author / Producer
Date
2025
Publication Type
Journal Article
ETH Bibliography
yes
Citations
Web of Science:
Altmetric
OPEN ACCESS
Data
Rights / License
Abstract
Powdered materials are ubiquitous in nature and widely used in industries such as food, cosmetics, and construction. These materials consist of small grains with a broad size and shape distribution, typically in the micrometer range. Understanding their microscale behavior requires accurate geometric characterization. Scanning electron microscopy (SEM) provides a fast and accessible method for imaging powdered materials at this scale. By leveraging the tilt capabilities of the microscope, along with feature-matching algorithms, it is possible to reconstruct the three-dimensional (3D) shape of individual grains.
We introduce Miop, a modular pipeline for 3D reconstruction from SEM images. Miop implements key steps of a 3D reconstruction workflow, including feature matching, estimation of (intrinsic and extrinsic) camera parameters, and point cloud reconstruction. It models the image generation process using a scaled orthographic projection and can incorporate microscope metadata, such as stage tilt and rotation angle. Designed for flexibility, Miop is easily extensible and modifiable, providing researchers with a practical tool for 3D reconstruction of powdered materials. An example of a typical reconstruction generated by Miop is illustrated in Figure 1.
Permanent link
Publication status
published
External links
Editor
Book title
Journal / series
Volume
10 (113)
Pages / Article No.
8457
Publisher
Open Journals
Event
Edition / version
Methods
Software
Geographic location
Date collected
Date created
Subject
Organisational unit
09650 - Kammer, David / Kammer, David
Notes
Funding
200343 - Early structural build-up in accelerated cement (SNF)