NanoQNTPy
This software is used to analyze the data generated by the nanoQNT device from Dispertech.
In a nutshell, it uses Trackpy to localize and link bright spots on a series of images acquired with a light-sheet microscope. In case of multi-colour images, it uses KD-Tree's to cross-link the particles and measure the fluorescence intensity in each one.
Requirements
Important requirements for the program:
Python 3.9+ is required, lower versions will have issues saving the data. Numba is required to speed up the analysis.
Work in Progress
This program is work in progress and subject to change without prior notice.
2 maintainers
Metadata
2 maintainers
Release files for nanoqnt 0.2.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| nanoqnt-0.2.2.tar.gz | 79.0 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| nanoqnt-0.2.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 190.4 kB
Release files / nanoqnt-0.2.2.tar.gz
| Download URL | nanoqnt-0.2.2.tar.gz |
|---|---|
| Size | 79.0 kB |
| Tags | Source |
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SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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No |
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poetry/1.5.1 CPython/3.9.16 Darwin/22.5.0
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Release files / nanoqnt-0.2.2-py3-none-any.whl
| Download URL | nanoqnt-0.2.2-py3-none-any.whl |
|---|---|
| Size | 111.4 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 |
poetry/1.5.1 CPython/3.9.16 Darwin/22.5.0
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