Code and data to generate
figures found in Griffiths et al, 2020 "Real-time 3D movement correction
for two-photon imaging in behaving animals". Simply download all the
files and add them to you matlab path. You can then run the script
corresponding to the figures of interest. Scripts are named plot_figure_#.m and
will load data from the subfolder with the same name. More information is
available in each script. For figures that used patch or volume imaging, the
data provided usually corresponds to extracted data. When
computing the performance of our Real Time 3D Movement Correction (RT-3DMC), we
often use a metric called UDE (Uncorrected Displacement Error), which
corresponds to an independent measurement of the remaining movement after
RT-3DMC, as estimated by a subpixel registration algorithm [1]. The UDE values
indicate how much residual movement is present (in the absence or presence
of RT-3DMC) when the animal is behaving (running/licking/swimming).
