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software [2019/04/04 17:24] – admin | software [2019/05/21 16:03] – [Data Analysis] admin |
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* [[https://pals3d.readthedocs.io/en/latest/|Pals3D]] is a graphical application to support the use of a Time-Correlated Single Photon Counting system for application to Positron Annihilation Lifetime Spectroscopy. [[https://github.com/avancra/Pals3D]] | * [[https://pals3d.readthedocs.io/en/latest/|Pals3D]] is a graphical application to support the use of a Time-Correlated Single Photon Counting system for application to Positron Annihilation Lifetime Spectroscopy. [[https://github.com/avancra/Pals3D]] |
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=== Libraries/scripts/readers === | === Libraries/scripts/readers === |
* Import Filter for pt3 files: [[http://imagejdocu.tudor.lu/doku.php?id=plugin:inputoutput:picoquant_.pt3_image_reader:start]] | * Import Filter for pt3 files: [[http://imagejdocu.tudor.lu/doku.php?id=plugin:inputoutput:picoquant_.pt3_image_reader:start]] |
* Import of ptu/pt3 image files (+intensity/average lifetime stacks): [[https://github.com/ekatrukha/PTU_Reader]] | * Import of ptu/pt3 image files (+intensity/average lifetime stacks): [[https://github.com/ekatrukha/PTU_Reader]] |
* [[https://github.com/qpl-public/readPTU|A Python library to read PTU files]] \\ From the authors: "The main purpose of the library is to compute g<sup>2</sup> from the photon arrival times as fast as possible, as our files often go into multi GB sizes. With a good SSD we can parse >3GB/s. It can also compute intensity time traces and post select photons based on that." | |
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* [[https://github.com/QuantumPhotonicsLab/readPTU]] Probably same as above | |
| * [[https://github.com/QuantumPhotonicsLab/readPTU]] readPTU: a Python Library to Analyse Time Tagged Time Resolved Data [[http://qpl.eps.hw.ac.uk/]], [[https://arxiv.org/pdf/1903.07112.pdf]] |
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* [[https://github.com/trevhull/ptuT3toT2|ptuT3toT2 - a program that converts ptu files from picoquant from T3 mode to T2 mode]] | * [[https://github.com/trevhull/ptuT3toT2|ptuT3toT2 - a program that converts ptu files from picoquant from T3 mode to T2 mode]] |
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* [[https://github.com/skyjur/picoharp300-curvefit-ui|TCSPC curve fitting for phd files (Python)]] | * [[https://github.com/skyjur/picoharp300-curvefit-ui|TCSPC curve fitting for phd files (Python)]] |
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| * [[ https://github.com/SumeetRohilla/readPTU_FLIM | readPTU_FLIM]] Library for reading PTU files (works for MultiHarp, HydraHarp, PicoHarp, TimeHarp acquisition) as well as converting raw TTTR data to FLIM image data stack. |
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| * [[https://tpeulen.github.io/tttrlib/| tttrlib]] tttrlib is a low level, high performance API to read and process time-tagged-time resolved (TTTR) data |
==== Data Acquisition ==== | ==== Data Acquisition ==== |
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* https://github.com/PicoQuant/HH400-v1.x-Demos | * https://github.com/PicoQuant/HH400-v1.x-Demos |
* https://github.com/PicoQuant/HH400-v3.x-Demos | * https://github.com/PicoQuant/HH400-v3.x-Demos |
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| == MultiHarp 150 == |
| * [[https://github.com/PicoQuant/MH150-Demos]] |
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=== Other === | === Other === |