Deep Neural Networks Outperform Human Expert’s Capacity in Characterizing Bioleaching Bacterial Biofilm Composition

Supplementary files for the publication: Deep Neural Networks Outperform Human Expert’s Capacity in Characterizing Bioleaching Bacterial Biofilm Composition

DOI: 10.15490/fairdomhub.1.investigation.281.1

Zenodo URL: None

Created at: 14th Mar 2019 at 11:12

Contents

Deep Neural Networks Outperform Human Expert’s Capacity in Characterizing Bioleaching Bacterial Biofilm Composition

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Imaging of leaching cultures

tbd

Images of mineral colonization

Images used for training and validation of deep learning algorithm to determine biofilm composition of mixed species biofilms on mineral grains

  • images_deep_learning_Biotechnology_Reports.zip

Code for image analysis

tbd

Code for image analyses

Archive contains python scripts for image analysis

  • TF_code.zip
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Citation
Herold, M., & Buetti-Dinh, A. (2019). Deep Neural Networks Outperform Human Expert’s Capacity in Characterizing Bioleaching Bacterial Biofilm Composition. FAIRDOMHub. https://doi.org/10.15490/FAIRDOMHUB.1.INVESTIGATION.281.1
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Created: 14th Mar 2019 at 11:12

Last updated: 14th Mar 2019 at 11:26

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