Rapid 3D MODELING
SEM-Based Photogrammetry
Photogrammetry adapted for SEM imaging involves acquiring a number of images, or video, and applying customized algorithms to process the SEM images to generate a 3D model. Our team pioneered this approach on a standard SEM.
Now, our CSSG technology converts that process, which could take 10 hours, into ~1 hour! This sparse sampling adaptation significantly enhances the practical ability to routinely generate 3D models in the SEM. Another paradigm shift!
Tomography: Slice faster!
From hours to minutes
Our sparse sampling breakthrough and the CSSG platform marks a significant stride forward in electron tomographic imaging technology. When our 2D sparse scanning technology is taken into the realm of 3D imaging; the possibilities are even more groundbreaking.
This breakthrough is achieved by expanding the sparsity matrix into the third dimension, which means each 2D image can be even more sparse (e.g., a few %) and/or each 2D image sparse matrix is optimized to achieve a highly random 3D sparse matrix for robost reconstruction. FIB-SEM tomography is one popular method transformed by this technology, another field which our team pioneered over 20 years ago!
We’ve also extended the this platform into 3D sparse STEM imaging.
What sets these advancements apart is beyond a capacity to bridge the gap between 2D and 3D imaging, but also a substantial increase in efficiency.
Previously, the process of performing tomography for 3D reconstructions could be a time-intensive endeavor, often spanning hours, if not days. This new approach revolutionizes the speed of tomography, enabling reconstructions to be completed up to 10 times faster. This acceleration opens up new horizons for research and application by significantly reducing the time required for obtaining critical insights into complex sample structures.
Lower dose
Reducing charging during SEM imaging offers a range of advantages, from maintaining sample integrity to enhancing imaging quality, data accuracy, and the ability to study natural specimen features without compromise. This practice is essential for obtaining reliable and meaningful results in electron microscopy analysis.
Preserved Sample Integrity
Electron beam energy in a SEM can induce damage and create excess charging. Through our sparse sampling process and intelligent frame integration, the electron dose can be fractionated to control charging. This preservation of sample integrity ensures that the observed features are closer to their natural state, allowing for more accurate characterization and analysis.
Accuracy
Accurate Data: Charging can interfere with emitted electron signals, affecting the quality of data collected during imaging. When charging is minimized, electron signals are less disrupted, leading to improved signal-to-noise ratios and enhanced data accuracy. This accuracy is crucial for quantitative measurements and reliable analysis of sample properties.
Biological sample
Biological samples are particularly susceptible to charging and beam enery damage, which can alter their characteristics and introduce image artifacts. By reducing charging and dose, researchers can better preserve the natural features of biological specimens. This is essential for obtaining authentic insights into the morphology, structure, and behavior of biological materials.
Real-Time 3D Display
Auto-Stereoscopy
Our real-time sparse imaging reconstruction technology makes full-time and real-time 3D imaging on a SEM both possible and practical for the first time. We can rapidly stream up to eight detector signals simultaneously and present those signals directly to the next generation of 3D displays.
Viewing a sample in 3D on a dedicated auto-stereoscopic screen means you can perceive a three-dimensional representation of the sample without the need for special glasses, creating a natural real-time three-dimensional viewing environment on the SEM.
Our 3D displays allow for expanded interactivity, enhanced 3D manipulation and even quantitative 3D visualization, which is particularly useful in scientific research and design applications.
