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Filtering by: Keyword Self-Annotated Datasets Subject Materials Science

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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