Clement
GUI for Correlative Light and Electron Microscopy
A graphical program to correlate electron microscopy and fluorescent optical images of the same sample.
Installation
The package is pure python, and the easiest way to install it is through PyPi with the following command:
$ pip install clement
We recommend create a separate environment using either conda or virtualenv to manage dependencies.
Further instructions are available in the Wiki here.
Tutorial
A guide with screenshots for semi-automatic alignment of FM and EM images based on observable features is also described on the wiki.
2 maintainers
Metadata
2 maintainers
Release files for clement 0.3.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| clement-0.3.0.tar.gz | 82.5 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| clement-0.3.0-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 173.5 kB
Release files / clement-0.3.0.tar.gz
| Download URL | clement-0.3.0.tar.gz |
|---|---|
| Size | 82.5 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.15
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Release files / clement-0.3.0-py3-none-any.whl
| Download URL | clement-0.3.0-py3-none-any.whl |
|---|---|
| Size | 91.0 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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| Upload date | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.10.15
|
