Software for analysing the data generated with the nanoQNT device. It includes a practical GUI as well as a module that can be extended and used in custom scripts.
Project description
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.
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
File details
Details for the file nanoqnt-0.2.2.tar.gz.
File metadata
- Download URL: nanoqnt-0.2.2.tar.gz
- Upload date:
- Size: 79.0 kB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.1 CPython/3.9.16 Darwin/22.5.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | b4dffcd162609e0c800497743ef7db5907c1ad7d29ce430ee146ae77fa3dc30a |
|
| MD5 | 187ff1467759999cc2e2b9107f24663a |
|
| BLAKE2b-256 | f8e3584c7d4b176c2cb28845fbc11726a1c0b00cdb3ce07949061cba116b0b33 |
File details
Details for the file nanoqnt-0.2.2-py3-none-any.whl.
File metadata
- Download URL: nanoqnt-0.2.2-py3-none-any.whl
- Upload date:
- Size: 111.4 kB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.5.1 CPython/3.9.16 Darwin/22.5.0
File hashes
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | bb5f431ec6be6b0ef741b3b8eedde0409de3d9b5b3fcbe8877b2701835ac4ccf |
|
| MD5 | 7c98dd15e1e59e59d4f387989fea0154 |
|
| BLAKE2b-256 | a0e0cd0b616309b12d0bd4c23616ef89222c7ae425d2330ebd0901724faa9f20 |
