This project aims at analysing micrographs and other images of biological matter. The underlying data can be obtained freely from many scientific bioinformatics databases (check out my website www.bio-century.net for further info). This "Part 1" is a collection of Python-based example codes focussing on the Analysis of Micrographs on a very basic level. More parts are to come soon...
Goals and example code is presented in a Jupyter-Notebook-(.ipynb-)fileformat. Jupyter-NB or equivalent extensions in the IDE of your choice is thus required to modify it.
All you need is a running jupyter notebook distribution of some sort as well as python fulfilling the requirements listed in section Requirements. Strongly recommended is vs code with it's .ipynb-extension
Here is room for your inspiration, which is very much appreciated! Please be patient as concerns implementationof your ideas, since the resources (time and personnel) are limited.
- Next Idea 1
- Next Idea 2
- ...
| AnalysisofMicrographs.html html-transformed output of the .ipynb-file for representation purposes
| AnalysisOfMicrographs.ipynb Main .ipynb-file explaining tasks and giving example code to solve them
| LICENSE
| README.md
|
+---Figures
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+---Figures_scientific
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+---Icons
+---ModulesExternal
| \---Data
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+---ModulesOwn Functions / methods developed for Analysis of Micrographs
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\---requirements
To be detailed soon.
To be detailed soon.
This work is published under the GPL-2.0 license.
Many thanks to the comber.io admin for inspirations, code reviews and for initializing the bio-century.net website.
Sources are given directly in the respective code sections.