Improving 3D Reconstruction from STEM Data
نویسنده
چکیده
The successful implementation of spherical aberration correction in the scanning transmission electron microscope (STEM) is one of the most significant accomplishments in electron optics in the last few decades. Correction of magnetic lens aberrations to the third order has led to significant improvements in point resolution and signal-to-noise ratio, expanding the range of accessible lattice spacings into the sub-Ångstrom regime [1]. The greatly reduced depth of field of the aberrationcorrected STEM probes has also enabled three-dimensional imaging by optical sectioning [2]. Fig. 1 shows a 3D rendered STEM data set of a (Pt, Au)/TiO2 catalyst sample. The data has been acquired using a VG Microscopes HB603U STEM at ORNL. The metal particles appear elongated in the depth direction, reflecting the defocus spread of the STEM probe. Deconvolution techniques similar to those used in confocal optical microscopy can help achieve closer correspondence with the real structure of the material [2].
منابع مشابه
Ultra-Fast Image Reconstruction of Tomosynthesis Mammography Using GPU
Digital Breast Tomosynthesis (DBT) is a technology that creates three dimensional (3D) images of breast tissue. Tomosynthesis mammography detects lesions that are not detectable with other imaging systems. If image reconstruction time is in the order of seconds, we can use Tomosynthesis systems to perform Tomosynthesis-guided Interventional procedures. This research has been designed to study u...
متن کاملApplication of Wavelet Neural Networks for Improving of Ionospheric Tomography Reconstruction over Iran
In this paper, a new method of ionospheric tomography is developed and evaluated based on the neural networks (NN). This new method is named ITNN. In this method, wavelet neural network (WNN) with particle swarm optimization (PSO) training algorithm is used to solve some of the ionospheric tomography problems. The results of ITNN method are compared with the residual minimization training neura...
متن کاملTarget detection Bridge Modelling using Point Cloud Segmentation Obtained from Photogrameric UAV
In recent years, great efforts have been made to generate 3D models of urban structures in photogrammetry and remote sensing. 3D reconstruction of the bridge, as one of the most important urban structures in transportation systems, has been neglected because of its geometric and structural complexity. Due to the UAV technology development in spatial data acquisition, in this study, the point cl...
متن کامل3d Reconstruction of a Tree Stem Using Video Images and Pulse Distances
This paper demonstrates how a 3D tree stem model can be reconstructed using video imagery combined with laser pulse distance measurements. Perspective projection is used to place the data collected with the portable video laser-rangefinding device into a real world coordinate system. This hybrid methodology uses a relatively small number of range measurements (compared to laser scanner instrume...
متن کاملImproving 3D Genome Reconstructions Using Orthologous and Functional Constraints
The study of the 3D architecture of chromosomes has been advancing rapidly in recent years. While a number of methods for 3D reconstruction of genomic models based on Hi-C data were proposed, most of the analyses in the field have been performed on different 3D representation forms (such as graphs). Here, we reproduce most of the previous results on the 3D genomic organization of the eukaryote ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2007