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https://github.com/bionanoimaging/image-processing-in-microscopy-2023-2024
https://github.com/bionanoimaging/image-processing-in-microscopy-2023-2024
Last synced: 12 days ago
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- Host: GitHub
- URL: https://github.com/bionanoimaging/image-processing-in-microscopy-2023-2024
- Owner: bionanoimaging
- Created: 2023-10-18T11:27:45.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2023-10-18T11:39:36.000Z (about 1 year ago)
- Last Synced: 2023-11-04T20:22:25.911Z (about 1 year ago)
- Language: Julia
- Size: 156 KB
- Stars: 0
- Watchers: 4
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Image-Processing-In-Microscopy
Course material for "Image Processing in Microscopy" at the Friedrich Schiller University in Jena in the Winter term 2023/24
## Organisation
See [Moodle](https://moodle.uni-jena.de/course/view.php?id=47953) for more details about the course itself.
### Course Registration
Officially, over Friedolin. Remember to register for the lecture, the exercises and then at some point for the exam.
### Homework
Details
### Q&A Seminars
Details
## Code
To download the files, we recommend `git`:
```
git clone git@https://https://github.com/bionanoimaging/Image-Processing-In-Microscopy-2023-2024.git
```
Usually via a _git pull_ you can update the code. If anything goes wrong which you can't fix, clone it again to a new folder.
### Julia Installation
Download the recent version 1.9.3 on the [Julia Website](https://julialang.org/downloads/).
#### Editor
We recommend using [Visual Studio Code](https://www.julia-vscode.org/), especially install the Julia and git plugin for VSCode.
#### Documentation
Also check out the [documentation](https://docs.julialang.org/en/v1/manual/performance-tips/). It is the best resource for julia because many other pages are outdated.
##### Cheatsheet
There is a [Cheatsheet](https://juliadocs.github.io/Julia-Cheat-Sheet/) available.
### Activate Environment
Open the downloaded source folder with VSCode.
We are going to use [Pluto.jl](https://github.com/fonsp/Pluto.jl) for the notebooks.
Open the Julia REPL:
Try to type:
```julia
julia> using Pluto # type y to install Pluto
│ Package Pluto not found, but a package named Pluto is available from a registry.
│ Install package?
│ (@v1.9) pkg> add Pluto
└ (y/n/o) [y]: y
julia> Pluto.run()
Opening http://localhost:1234/?secret=tiTBsJKJ in your default browser... ~ have fun!
Press Ctrl+C in this terminal to stop Pluto
```
A browser should open from where you can try to open a notebook.