Pore2Chip: All-in-one python tool for soil microstructure analysis and micromodel design
The Pore2Chip Python package is designed to create 2D micromodels using extracted data from 3D X-ray computed tomography (XCT) images.This package helps analyze soil structure and function, allowing for the investigation of hydro-biogeochemical processes that impact mineral extraction and reactivity, oxygen concentrations, and nutrient availability in disturbed or managed soils.Key metrics encompass pore size distributions, pore throat size distributions, and connectivity (pore coordination numbers).The final output is a 2D scalable SVG design representing a core or aggregate.Designs can be fabricated with methods such as laser etching, 3D printing, and photolithography.
Authors
- Arunima Bhattacharjee (ORCID: https://orcid.org/0000-0001-7482-8722)
- Erin Rooney (ORCID: https://orcid.org/0000-0002-9121-7699)
- Anil Krishna Battu (ORCID: https://orcid.org/0000-0001-7724-5100)
- Satish Karra (ORCID: https://orcid.org/0000-0001-7847-6293)
- Maruti Kumar Mudunuru (ORCID: https://orcid.org/0000-0002-2158-7723)
- Xiaoliang He (ORCID: https://orcid.org/0000-0003-3835-1917)
- Tamás Varga (ORCID: https://orcid.org/0000-0002-5492-866X)
- Md Lal Mamud (ORCID: https://orcid.org/0000-0002-5764-1058)
- Aramy Truong (ORCID: https://orcid.org/0009-0002-7467-7957)
Institutions
- Pacific Northwest National Laboratory (US)
- Environmental Molecular Sciences Laboratory (US)
Publication Details
- Journal
- The Journal of Open Source Software
- Published
- 2025-08-29
- DOI
- https://doi.org/10.21105/joss.08052
- Primary Topic
- Soil and Unsaturated Flow
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- U.S. Department of Energy
- Office of Science
- Biological and Environmental Research