| Name | pytcspc JSON |
| Version |
0.2.4
JSON |
| download |
| home_page | None |
| Summary | Time-correlated single photon counting (TCSPC) data analysis |
| upload_time | 2024-11-20 20:17:05 |
| maintainer | None |
| docs_url | None |
| author | None |
| requires_python | None |
| license | MIT License Copyright (c) 2022 Easun Arunachalam Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. |
| keywords |
example
setuptools
|
| VCS |
 |
| bugtrack_url |
|
| requirements |
No requirements were recorded.
|
| Travis-CI |
No Travis.
|
| coveralls test coverage |
No coveralls.
|
# `pytcspc`: a Python library for fluorescence lifetime imaging microscopy (FLIM) and fluorescence correlation spectroscopy (FCS) data analysis
## Installing
Please see `INSTALLATION.md`.
## Functions
### FLIM
- read Becker & Hickl .sdt files (based on [`sdtfile`](https://github.com/cgohlke/sdtfile)) into user-friendly `xarray.DataArray`s suitable for further analysis
- produce intensity and lifetime images
- fit decay curves to multiexponential models using least-squares or Gibbs sampling approaches
### FCS
- read Becker & Hickl .spc files into user-friendly `xarray.DataArray`s suitable for further analysis
- generate FLIM and intensity images and "videos"
- generate kymographs for line-scanning FCS
- calculate correlation functions (based on [`multipletau`](https://github.com/FCS-analysis/multipletau))
## examples
- `FCS`: fit FCS data for diffusion of Alexa Fluor 488
- `fit_oneexp`: fit decay curve for a solution of FAD
- `fit_from_image`: fit decay curve for NAD(P)H in yeast
- `Gibbssampling`: fit a polyexp model using least-squares regression and a biexponential model using Gibbs sampling
## Contributing
Please see `CONTRIBUTING.md`.
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