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Filtering by: Creator Schwenker, Eric Keyword Atomic-Resolution Microscopy Keyword Computer Vision Keyword Global Structure Optimization Subject Computer science Subject Materials Science

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1. Vision-Based Automation for Accelerated Structural Interpretation in Atomic-Resolution Microscopy

Description:: At its core, the purpose of microscopy is to make objects and their underlying structures visible under high magnification. With the remarkable progress of electron microscopy, the sub-micron “high” magnification of light microscopy has been completely refashioned to encompass subatomic length scales. Unfortunately, higher-magnification does little to negate existing interpretability...
Keyword:: Image Similarity, Computer Vision, Atomic-Resolution Microscopy, Global Structure Optimization, Self-Annotated Datasets, and Information Extraction
Subject:: Materials Science, Computational physics, and Computer science
Creator:: Schwenker, Eric
Owner:: Scholarly Digital Publishing
Language:: en
Date Uploaded:: 02/02/2022
Date Created:: 2021-01-01
Resource Type:: Dissertation
Alternate Identifier:: http://dissertations.umi.com/northwestern:15860 and etdadmin_upload_862806

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1. Vision-Based Automation for Accelerated Structural Interpretation in Atomic-Resolution Microscopy