:orphan:

Examples: Studies
=================


.. raw:: html

  <div id='sg-tag-list' class='sphx-glr-tag-list'></div>


.. raw:: html

    <div class="sphx-glr-thumbnails">

.. thumbnail-parent-div-open

.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial studies how increasing particle concentration changes the detector signal and the extracted event statistics. % Using the same optical, electronic, and digital processing configuration, we run a series of simulations at progressively higher concentrations and compare the resulting analog traces, trigger counts, and peak distributions.">

.. only:: html

  .. image:: /gallery/studies/images/thumb/sphx_glr_concentration_sweep_thumb.png
    :alt:

  :doc:`/gallery/studies/concentration_sweep`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Concentration Sweep: From Isolated Events to Coincidence</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example compares simulated and experimental flow cytometry measurements for Rosetta bead populations.">

.. only:: html

  .. image:: /gallery/studies/images/thumb/sphx_glr_cytek_comparison_thumb.png
    :alt:

  :doc:`/gallery/studies/cytek_comparison`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Compare simulated and experimental flow cytometry bead distributions</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example shows how to simulate particle trajectories in a rectangular flow cell and visualize their transverse positions.">

.. only:: html

  .. image:: /gallery/studies/images/thumb/sphx_glr_flowcell_sampling_thumb.png
    :alt:

  :doc:`/gallery/studies/flowcell_sampling`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Visualize particle sampling in a rectangular flow cell</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example simulates the detection of small nanoparticles (90-150 nm diameter) in a flow cytometry setup using a dual-detector configuration (side and forward scatter). The simulation includes noise models, realistic fluidics, analog signal conditioning, digitization, triggering, and peak detection.">

.. only:: html

  .. image:: /gallery/studies/images/thumb/sphx_glr_limit_of_detection_thumb.png
    :alt:

  :doc:`/gallery/studies/limit_of_detection`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Limit of Detection</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to simulate flow cytometry data for extracellular vesicles (EVs) and lipoproteins (LPs) under different Size Exclusion Chromatography (SEC) scenarios. The simulation includes the generation of scatterer populations, opto-electronic configurations, and digital processing to analyze the resulting data.">

.. only:: html

  .. image:: /gallery/studies/images/thumb/sphx_glr_sec_results_thumb.png
    :alt:

  :doc:`/gallery/studies/sec_results`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Example with SEC columns</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This example demonstrates how to apply signal processing techniques to flow cytometry data using FlowCyPy. The simulation is set up with a Gaussian beam, a flow cell, and two detectors. A single population of scatterers (with delta distributions) is used, and the focus here is on processing the forward scatter detector signals. Three acquisitions are performed:">

.. only:: html

  .. image:: /gallery/studies/images/thumb/sphx_glr_signal_processing_thumb.png
    :alt:

  :doc:`/gallery/studies/signal_processing`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Signal Processing in Flow Cytometry</div>
    </div>


.. raw:: html

    <div class="sphx-glr-thumbcontainer" tooltip="This tutorial investigates how discriminator threshold affects event recovery for weak signals close to baseline noise.">

.. only:: html

  .. image:: /gallery/studies/images/thumb/sphx_glr_threshold_sensitivity_thumb.png
    :alt:

  :doc:`/gallery/studies/threshold_sensitivity`

.. raw:: html

      <div class="sphx-glr-thumbnail-title">Threshold Sensitivity: Event Detection Near the Noise Floor</div>
    </div>


.. thumbnail-parent-div-close

.. raw:: html

    </div>


.. toctree::
   :hidden:

   /gallery/studies/concentration_sweep
   /gallery/studies/cytek_comparison
   /gallery/studies/flowcell_sampling
   /gallery/studies/limit_of_detection
   /gallery/studies/sec_results
   /gallery/studies/signal_processing
   /gallery/studies/threshold_sensitivity



.. only:: html

 .. rst-class:: sphx-glr-signature

    `Gallery generated by Sphinx-Gallery <https://sphinx-gallery.github.io>`_