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CLSM imaging too memory having for RTD
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tpeulen committed Apr 18, 2020
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Expand Up @@ -9,7 +9,7 @@ or by deflecting the laser and moving the position of the exciting on a fixed
sample (laser scanning). In both cases, the position of the detection volume
within the sample needs to be saved in the recorded TTTR event stream. In the
section `Theory`_ the basics of CLSM data are described. In the section
`Use Python for CLSM`_ basic python functions are used to create an CLSM image
`Image construction`_ basic python functions are used to create an CLSM image
using ``TTTR`` objects. In the section `CLSMImage`_ it is explained how to use
``tttrlib``'s C++ interface to efficiently create CLSM images and different
`CLSM representations`_, e.g., intensity images, mean micro time images are
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p.show()
The outcome of such analysis for a complete working example is shown below including
all necessary source code.

.. plot:: plots/imaging_python.py
all necessary source code below.

.. literalinclude:: plots/imaging_python.py
:language: python
:linenos:

For any practical applications it is recommended the determine the images using
the built-in functions of ``tttrlib``. Using this functions is illustrated below.
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