Authors:
Hannah Janout
1
;
Bianca Buchegger
2
;
3
;
Andreas Haghofer
1
;
Dominic Hoeglinger
2
;
Jaroslaw Jacak
2
;
Stephan Winkler
1
and
Armin Hochreiner
2
Affiliations:
1
University of Applied Sciences Upper Austria, School of Informatics, Communications and Media, Softwarepark 11, 4232 Hagenberg, Austria
;
2
University of Applied Sciences Upper Austria, School of Medical Engineering and Applied Social Sciences, Garnisionstraße 21, 4240 Linz, Austria
;
3
Johannes Kepler University Linz, Institute of Applied Physics, Altenberger Straße 69, 4040 Linz, Austria
Keyword(s):
Image Processing Methods, Fluorescence Microscopy, 3D Microstructures, Image Analysis, Software Development, Bioinformatics.
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.