Installation
Napari needs to be set up on your machine in order to install this plugin.
If you do not have napari installed it can be done following this article.
Napari plugin manager (recommended)
Search for microscope-napari and click install.
After completed napari needs to be restarted to activate the plugin.
Pip package manager
You can install the plugin in the environment where napari is set up with command.
pip install microscope-napari
If you have a conda environment use anaconda prompt.
Usage
You can access plugin's functionalities in the upper menu.
Cellpose
Images can be segmented with custom and built-in cellpose models.
For further information make sure to check out cellpose and cellpose-napari plugin.
Cell counting
Cell counts in pictures can be obtained with cellpose models and average intensity regression models. Any number of napari image layers can be selected to be evaluated.
Cellpose model
Without enabling regression model counting the default used method is cellpose segmenting. The lower settings are for cellpose only.
Cell masks can be output to verify the accuracy of results.
Our custom cellpose models can be accessed there.
Average intensity regression model
For these models we should enable the regression model counting feature. The lower settings are irrelevant now, cell masks will not be output. It is only used for counting cells in images.
Our regression models can be accessed there.
Metadata
Release files for microscope-napari 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| microscope_napari-0.0.5.tar.gz | 258.2 kB | Without provenance | Details for microscope_napari-0.0.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| microscope_napari-0.0.5-py3-none-any.whl | Python 3 | none | any | Details for microscope_napari-0.0.5-py3-none-any.whl |
Total release size: 273.0 kB
Release files / microscope_napari-0.0.5.tar.gz
| Download URL | microscope_napari-0.0.5.tar.gz |
|---|---|
| Size | 258.2 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
c713d6e1a5b1f046461768e335f958c5e2e74b1beb1953f9d8d163c40a77c8af
|
|
BLAKE2b-256 checksum How to use checksums |
06c2d13b81012832a764a6db9df739922d327da314485030dd5bb5439c387137
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Release files / microscope_napari-0.0.5-py3-none-any.whl
| Download URL | microscope_napari-0.0.5-py3-none-any.whl |
|---|---|
| Size | 14.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
3e6d5f9df2790195f555d1ed4685636e72efb79c40eeab046891632844bc4309
|
|
BLAKE2b-256 checksum How to use checksums |
0cbb93fdd8885bcdb9689b07389bbdd6e4e64cda3f797462c3c0efe4ff2a38cf
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.1.1 CPython/3.12.7
|
Security for microscope-napari 0.0.5
Provenance
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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