Published December 7, 2022 | Version v1
Dataset Open

Data From: Forabot: Automated Planktic Foraminifera Isolation and Imaging

  • 1. North Carolina State University
  • 2. University of Colorado Boulder

Description

Physical inspection and sorting of foraminifera is a necessity in many research labs, as foraminifera serve as paleoenvironmental and chronostratigraphic indicators.

In order to gain counts of species from samples, analyze chemical compositions, or extract morphological properties of foraminifera, research labs require human effort and time handling and sorting these microscopic fossils.

The presented information supports Forabot, an open-source system that can physically manipulate individual foraminifera for imaging and isolation with minimal human interaction.

The associated data, codebase, and documentation support building a Forabot and confirming results related to processing raw image data, error detection results, and proof of concept deep classification network.

Notes

It is recommended to install software using Anaconda, but the software can be manually installed by referencing the Anaconda installation documents.

A markdown viewer such as Typora would benefit a reader.

A GPU would be helpful if training the deep classification network for validating results. It could be run on a CPU but would be quite slow.

Funding provided by: Division of Ocean Sciences
Crossref Funder Registry ID: http://dx.doi.org/10.13039/100000141
Award Number: 1829930

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Additional details

Related works

Is derived from
10.5281/zenodo.7055055 (DOI)