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Digital Inline Holographic Microscopy (DIHM) of Weakly-scattering Subjects

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Image-based 3D reconstruction using helical nanobelts for localized rotations.

B E Kratochvil¹, L X Dong, L Zhang

¹Institute of Robotics and Intelligent Systems, ETH Zurich, Switzerland. bkratochvil@ethz.ch

Journal of Microscopy

|January 26, 2010

Summary

Structure-from-motion techniques offer an efficient, high-precision method for reconstructing 3D micro- and nanoscale object data from scanning electron microscope images. This approach utilizes nanobelts for localized rotation, enabling automated 360-degree imaging and micro-manipulation.

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Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Scalable Nanohelices for Predictive Studies and Enhanced 3D Visualization

Published on: November 12, 2014

Area of Science:

Materials Science
Microscopy
Computational Imaging

Background:

Gathering 3D information for micro/nanoscale objects is crucial.
Scanning electron microscopy (SEM) with sample tilting is a non-destructive method.
Traditional stereo photogrammetry has limitations in data reconstruction.

Purpose of the Study:

To introduce structure-from-motion (SfM) as an advanced alternative for 3D reconstruction in SEM.
To demonstrate the use of nanobelts for controlled sample rotation.
To enhance the efficiency and precision of 3D imaging for micro/nanoscale objects.

Main Methods:

Applying SfM algorithms to SEM image series.
Utilizing nanobelts to induce precise, localized rotational motion of samples.
Automated processing of a large number of sampled images.

Main Results:

SfM provides an efficient and high-precision alternative to traditional stereo methods.
Nanobelt-based rotation allows for 360-degree sample manipulation.
The method alleviates the need for high-precision actuators.

Conclusions:

SfM techniques combined with nanobelt rotation offer a powerful new approach for 3D nanoscale imaging.
This method enhances automation and precision in micro/nanomanipulation.
The proposed technique expands the capabilities of SEM for 3D data acquisition.