How to Submit
Browse
Events
Communities
About

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This content is an early or alternative research output and has not been peer-reviewed by Cambridge University Press at the time of posting.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

Comments

Comments are not moderated before they are posted, but they can be removed by the site moderators if they are found to be in contravention of our Commenting and Discussion Policy [opens in a new tab] - please read this policy before you post. Comments should be used for scholarly discussion of the content in question. You can find more information about how to use the commenting feature here [opens in a new tab] .
This site is protected by reCAPTCHA and the Google Privacy Policy [opens in a new tab] and Terms of Service [opens in a new tab] apply.

Version History

Feb 27, 2024 Version 1

Metrics

284
86
0
Views
Downloads
Citations

License

CC logo
CC
BY logo
BY
NC logo
NC
SA logo
SA
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

Share