allensdk.brain_observatory.demixer module¶
- allensdk.brain_observatory.demixer.demix_time_dep_masks(raw_traces: ndarray, stack: ndarray, masks: ndarray, max_block_size: int = 1000) Tuple[ndarray, list][source]¶
Demix traces of potentially overlapping masks extraced from a single 2p recording.
- Parameters:
raw_traces – 2d array of traces for each mask, of dimensions (n, t), where t is the number of time points and n is the number of masks.
stack – 3d array representing a 1p recording movie, of dimensions (t, H, W) or corresponding hdf5 dataset.
masks – 3d array of binary roi masks, of shape (n, H, W), where n is the number of masks, and HW are the dimensions of an individual frame in the movie stack.
- Max_block_size:
int representing maximum number of movie frames to read at a time (-1 for full length t of stack) (the default is 1000)
- Returns:
Tuple of demixed traces and whether each frame was skipped in the demixing calculation.
- allensdk.brain_observatory.demixer.find_negative_transients_threshold(trace, window=500, length=10, std_devs=3)[source]¶
- allensdk.brain_observatory.demixer.plot_negative_baselines(raw_traces, demix_traces, mask_array, roi_ids_mask, plot_dir, ext='png')[source]¶
- allensdk.brain_observatory.demixer.plot_negative_transients(raw_traces, demix_traces, valid_roi, mask_array, roi_ids_mask, plot_dir, ext='png')[source]¶
- allensdk.brain_observatory.demixer.plot_overlap_masks_lengthOne(roi_ind, masks, savefile=None, weighted=False)[source]¶
- allensdk.brain_observatory.demixer.plot_traces(raw_trace, demix_trace, roi_id, roi_ind, save_file)[source]¶