MISA++: A modular and high-performance framework for image analysis
Ruman Gerst (1,2), Anna Medyukhina (1), Marc Thilo Figge(1,2,*)
(1) Applied Systems Biology, Leibniz Institute for Natural Product Research and Infection Biology - Hans-Knöll-Institute, Jena, Germany
(2) Faculty of Biological Sciences, Friedrich-Schiller-University Jena, Germany
* To whom correspondence should be addressed.
https://applied-systems-biology.github.io/misa-framework/
The MISA++ Kidney Glomeruli Segmentation segments glomeruli in whole kidneys. It implements the algorithm published by Klingberg et. al.:
Klingberg, Anika, et al. "Fully automated evaluation of total glomerular number and capillary tuft size in nephritic kidneys using lightsheet microscopy." Journal of the American Society of Nephrology 28.2 (2017): 452-459.
Copyright by Ruman Gerst
Research Group Applied Systems Biology - Head: Prof. Dr. Marc Thilo Figge
https://www.leibniz-hki.de/en/applied-systems-biology.html
HKI-Center for Systems Biology of Infection
Leibniz Institute for Natural Product Research and Infection Biology - Hans Knöll Insitute (HKI)
Adolf-Reichwein-Straße 23, 07745 Jena, Germany
The project code is licensed under BSD 2-Clause. See the LICENSE file provided with the code for the full license.
MISA++ Kidney Glomeruli Segmentation depends on following libraries:
| Library | Version | Author | URL |
|---|---|---|---|
| MISA++ Core | 1.0.0 | Ruman Gerst | |
| MISA++ Tissue Segmentation | 1.0.0 | Ruman Gerst |
You need a compiler capable of C++ version 2017 or higher to compile MISA++ Imaging.
The project uses the CMake build system and requires no additional build instructions that differ from the standard CMake building process.
Please visit https://applied-systems-biology.github.io/misa-framework/ for full build instructions and documentation.