Fig. 3

Large artefacts detection. a, b SLS trajectories (yellow line) with a surround of 4 pixels (a) and without surround (b) are overlapped to a projection of the corresponding raster acquisition and to their reference segmentation (red ROIs). c, d Large artefact detection for the acquisition in a, b. From top to bottom. Raster of the SLS acquisition. Each row represents the fluorescence trace of a pixel in the trajectory. Pixels are ordered according to their position in the trajectory, from the first (top) to the last (bottom). Reduced representation of SLS dynamics using only the scores vector of the first PC (PC 1, grey line) and fit with an AR(2) model (black line). Correlation between the first PC scores vector and its fit. Displacement along the horizontal (black) and vertical (grey) direction estimated applying the NoRMCorre algorithm [44] to the reference box. The dashed red line in d denotes the detection of a large artefacts