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Motion correction, big data handling, and GUI based component selection
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@epnev epnev released this 08 Feb 14:59
· 197 commits to master since this release
v0.5
da46929

This (pre)release brings several major improvements:

  • Inclusion of non-rigid motion correction with the NoRMCorre package available here.
  • A new pipeline for scalable analysis of large datasets. The script run_pipeline.m demonstrates how to execute a pipeline that consists of motion correction, source extraction and deconvolution. Datasets with length 100k frames can be end-to-end analyzed within a few hours on moderate multi-core machines. More details can be found here.
  • Inclusion of a graphical user interface (ROI_GUI.m) that performs post analysis classification of components by adjusting several intuitive thresholds based on the size of each components, and the inferred shape and trace. More features to come.

This release also serves as a snapshot of the code before its migration to the Simons Foundation github account.

Acknowledgements

Special thanks to J. Taxidis, UCLA, for providing the GUI.

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