Nanomesh: A Python workflow tool for generating meshes from image data

Stef Smeets; Nicolas  Renaud; Lars Jorrit Corbijn van Willenswaard

doi:10.21105/joss.04654

Nanomesh: A Python workflow tool for generating meshes from image data

Stef Smeets^*, Nicolas Renaud, Lars Jorrit Corbijn van Willenswaard

^*Corresponding author for this work

Research output: Contribution to journal › Article › Academic › peer-review

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Abstract

Nanomesh is a Python library that allows users to quickly and easily create 2D and 3D meshes directly from images of the object they wish to mesh. The automated workflow can preprocess and segment the picture to extract different regions and create conforming meshes of the objects. Analysis tools allow evaluating the quality of the resuting mesh and the detection of problematic regions. The resulting meshes can be exported to a variety of popular formats so that they can be used in finite element simulations. Nanomesh can be used as python library for example in Jupyter notebooks, or through dedicated online dashboards.

Original language	English
Article number	4654
Number of pages	5
Journal	Journal of open source software
Volume	7
Issue number	78
DOIs	https://doi.org/10.21105/joss.04654
Publication status	Published - 9 Oct 2022

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10.21105/joss.04654Licence: CC BY

10.21105.joss.04654Final published version, 2.73 MBLicence: CC BY

Cite this

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abstract = "Nanomesh is a Python library that allows users to quickly and easily create 2D and 3D meshes directly from images of the object they wish to mesh. The automated workflow can preprocess and segment the picture to extract different regions and create conforming meshes of the objects. Analysis tools allow evaluating the quality of the resuting mesh and the detection of problematic regions. The resulting meshes can be exported to a variety of popular formats so that they can be used in finite element simulations. Nanomesh can be used as python library for example in Jupyter notebooks, or through dedicated online dashboards.",

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