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Transcript of talk: Automated mycelium microstructural characterization with image processing artifact prediction

27 February 2024, Version 1
Presentation
This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.

Abstract

This talk discusses fungal mycelium as a biomaterial, its applications, and the process of microstructure characterization based on scanning electron microscope images, the challenges of micrograph knowledge extraction and how Machine Learning can help automate the identification of imaging artifacts.

Keywords

mycelium
image processing
microstructure characterization
machine learning
materials informatics

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Version History

Feb 27, 2024 Version 1

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The content is available under CC BY NC SA 4.0 [opens in a new tab]

DOI

10.33774/coe-2024-jj4g6
D O I: 10.33774/coe-2024-jj4g6 [opens in a new tab]

Author’s competing interest statement

The author(s) have declared they have no conflict of interest with regard to this content

Ethics

The author(s) have declared ethics committee/IRB approval is not relevant to this content

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