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Signal Processing Challenges and Examples for it in-situ Transmission Electron Microscopy

arXiv 2104.08688 ↗First posted 18 Apr 2021cs.CVcited by 0

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Abstract (arXiv)

Transmission Electron Microscopy (TEM) is a powerful tool for imaging material structure and characterizing material chemistry. Recent advances in data collection technology for TEM have enabled high-volume and high-resolution data collection at a microsecond frame rate. Taking advantage of these advances in data collection rates requires the development and application of data processing tools, including image analysis, feature extraction, and streaming data processing techniques. In this paper, we highlight a few areas in materials science that have benefited from combining signal processing and statistical analysis with data collection capabilities in TEM and present a future outlook on opportunities of integrating signal processing with automated TEM data analysis.

Key facts. No citing papers in the map yet (data through 7 Oct 2026). Builds on 4 of its 62 references that are in the map. First posted on arXiv 18 Apr 2021.

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References · 4

  1. 2014Fully Convolutional Networks for Semantic Segmentationcited by 4,845
  2. 2019Introduction to Online Convex Optimizationcited by 793
  3. 2016A survey of sparse representation: algorithms and applicationscited by 58
  4. 2017Robust Sequential Change-Point Detection by Convex Optimizationcited by 5

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