Common Code
Code that both LiveCellAnalysis and smFISH (or others) use and doesn't get major changes goes here.
Installation
pip install tllab_common
or editable:
git clone git@github.com:Lenstralab/tllab_common.git
pip install -e tllab_common/ --user
Fiji
Running segmentation using trackmate requires Fiji, make sure you have that installed.
Cellpose
Cellpose 3.1.1.3 is vendored so we can have Cellpose 3 and 4 simultaneously and als have more recent versions of numpy installed.
Metadata
Release files for tllab-common 2026.10.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| tllab_common-2026.10.2.tar.gz | 95.1 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| tllab_common-2026.10.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 200.4 kB
Release files / tllab_common-2026.10.2.tar.gz
| Download URL | tllab_common-2026.10.2.tar.gz |
|---|---|
| Size | 95.1 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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twine/6.2.0 CPython/3.13.13
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Release files / tllab_common-2026.10.2-py3-none-any.whl
| Download URL | tllab_common-2026.10.2-py3-none-any.whl |
|---|---|
| Size | 105.3 kB |
| Tags | Python 3 |
|
SHA-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/6.2.0 CPython/3.13.13
|