Articles | Volume 5, issue 1
https://doi.org/10.5194/gchron-5-109-2023
https://doi.org/10.5194/gchron-5-109-2023
Short communication/technical note
 | 
10 Mar 2023
Short communication/technical note |  | 10 Mar 2023

Technical note: colab_zirc_dims: a Google Colab-compatible toolset for automated and semi-automated measurement of mineral grains in laser ablation–inductively coupled plasma–mass spectrometry images using deep learning models

Michael C. Sitar and Ryan J. Leary

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Latest update: 21 Feb 2024
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Short summary
We developed code to automatically and semi-automatically measure dimensions of detrital mineral grains in reflected-light images saved at laser ablation–inductively coupled plasma–mass spectrometry facilities that use Chromium targeting software. Our code uses trained deep learning models to segment grain images with greater accuracy than is achievable using other segmentation techniques. We implement our code in Jupyter notebooks which can also be run online via Google Colab.