PySpot: A Python based Framework for the Assessment of Laser-modified 3D Microstructures for Windows and Raspbian

Hannah Janout, Bianca Buchegger, Bianca Buchegger, Andreas Haghofer, Dominic Hoeglinger, Jaroslaw Jacak, Stephan Winkler, Armin Hochreiner

2020

Abstract

Biocompatible 3D microstructures created with laser lithography and modified for optimal cell growth with laser grafting, can imitate the 3D structure cells naturally grow in. For the evaluation of the quality and success of those 3D microstructures, specialized software is required. Our software PySpot can load 2D and 3D images and analyze those through image segmentation, edge detection, and surface plots. Additionally, the creation and modification of regions of interest (ROI) allow for the quality evaluation of specific areas in an image by intensity analysis. 3D rendering allows for identifying complex geometrical properties. Furthermore, PySpot is executable on Windows as well as on Raspbian, which makes it flexible to use.

Paper Citation

in Harvard Style

Janout H., Buchegger B., Haghofer A., Hoeglinger D., Jacak J., Winkler S. and Hochreiner A. (2020). PySpot: A Python based Framework for the Assessment of Laser-modified 3D Microstructures for Windows and Raspbian. In Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 2: BIOIMAGING; ISBN 978-989-758-398-8, SciTePress, pages 135-142. DOI: 10.5220/0008948001350142

in Bibtex Style

@conference{bioimaging20,
author={Hannah Janout and Bianca Buchegger and Andreas Haghofer and Dominic Hoeglinger and Jaroslaw Jacak and Stephan Winkler and Armin Hochreiner},
title={PySpot: A Python based Framework for the Assessment of Laser-modified 3D Microstructures for Windows and Raspbian},
booktitle={Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 2: BIOIMAGING},
year={2020},
pages={135-142},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0008948001350142},
isbn={978-989-758-398-8},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 13th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2020) - Volume 2: BIOIMAGING
TI - PySpot: A Python based Framework for the Assessment of Laser-modified 3D Microstructures for Windows and Raspbian
SN - 978-989-758-398-8
AU - Janout H.
AU - Buchegger B.
AU - Haghofer A.
AU - Hoeglinger D.
AU - Jacak J.
AU - Winkler S.
AU - Hochreiner A.
PY - 2020
SP - 135
EP - 142
DO - 10.5220/0008948001350142
PB - SciTePress