Trapalyzer
Trapalyzer is a PartSeg and napari plugin for automatic feature detection and quantification for in-vitro NET release studies.
Installation
Trapalyzer is a plug-in for the PartSeg image processing. To use Trapalyzer,
you first need to install PartSeg.
If you use Windows, you can simply download and unpack the PartSeg.zip file -
no further installation needed. If you use Linux with a working Python
distribution, we recommend installing PartSeg by running
pip install PartSeg[all] in the command line.
After you have installed PartSeg, you can install Trapalyzer:
- If you install PartSeg from prebuild binaries (from zip) then you need to download
this plugin from release page and unpack it to
pluginsdirectory in PartSeg folder. - If you install PartSeg using pip or conda then you can install this plugin using pip
pip install Trapalyzer
Usage examples
In the Tutorial directory you will find instructions on how to use Trapalyzer to analyze an example data set of fluorescence microscopy images.
1 maintainer
Release files for Trapalyzer 0.0.7
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| Trapalyzer-0.0.7.tar.gz | 4.1 MB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| Trapalyzer-0.0.7-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 4.1 MB
Release files / Trapalyzer-0.0.7.tar.gz
| Download URL | Trapalyzer-0.0.7.tar.gz |
|---|---|
| Size | 4.1 MB |
| 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
|
Release files / Trapalyzer-0.0.7-py3-none-any.whl
| Download URL | Trapalyzer-0.0.7-py3-none-any.whl |
|---|---|
| Size | 14.4 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 | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/4.0.1 CPython/3.10.6
|
