@@ -43,7 +43,7 @@ def backup_xml_files(source_directory, subfolder_name):
4343 shutil .copy2 (xml_file , backup_subfolder )
4444
4545
46- def run_define_dataset_autoloader (
46+ def define_dataset_auto (
4747 project_filename ,
4848 file_path ,
4949 bf_series_type ,
@@ -173,7 +173,7 @@ def run_define_dataset_autoloader(
173173 return
174174
175175
176- def run_define_dataset_manualoader (
176+ def define_dataset_manual (
177177 project_filename ,
178178 source_directory ,
179179 image_file_pattern ,
@@ -241,7 +241,7 @@ def run_define_dataset_manualoader(
241241 IJ .run ("Define dataset ..." , str (options ))
242242
243243
244- def run_resave_as_h5 (
244+ def resave_as_h5 (
245245 source_xml_file ,
246246 output_h5_file_path ,
247247 timepoints = "All Timepoints" ,
@@ -253,8 +253,7 @@ def run_resave_as_h5(
253253 """Resave the xml dataset in a new format (either all or single timepoints).
254254
255255 Useful if it hasn't been done during dataset definition (see
256- `run_define_dataset_autoloader()`). Allows e.g. parallelization of HDF-5
257- re-saving.
256+ `define_dataset_auto()`). Allows e.g. parallelization of HDF-5 re-saving.
258257
259258 Parameters
260259 ----------
@@ -333,7 +332,7 @@ def run_resave_as_h5(
333332 return
334333
335334
336- def run_flip_axes (source_xml_file , x = False , y = True , z = False ):
335+ def flip_axes (source_xml_file , x = False , y = True , z = False ):
337336 """Call BigStitcher's "Flip Axes" command.
338337
339338 Wrapper for `BigStitcher > Batch Processing > Tools > Flip Axes`. This is
@@ -367,7 +366,7 @@ def run_flip_axes(source_xml_file, x=False, y=True, z=False):
367366 backup_xml_files (file_info ["path" ], "flip_axes" )
368367
369368
370- def run_phase_correlation_pairwise_shifts_calculation (
369+ def phase_correlation_pairwise_shifts_calculation (
371370 project_path ,
372371 input_dict = {},
373372 treat_timepoints = "group" ,
@@ -489,7 +488,7 @@ def run_phase_correlation_pairwise_shifts_calculation(
489488 return
490489
491490
492- def run_filter_pairwise_shifts (
491+ def filter_pairwise_shifts (
493492 project_path ,
494493 min_r = 0.7 ,
495494 max_r = 1 ,
@@ -552,7 +551,7 @@ def run_filter_pairwise_shifts(
552551 return
553552
554553
555- def run_optimize_apply_shifts (
554+ def optimize_and_apply_shifts (
556555 project_path ,
557556 input_dict = {},
558557 treat_timepoints = "group" ,
@@ -670,7 +669,7 @@ def run_optimize_apply_shifts(
670669 return
671670
672671
673- def run_detect_interest_points (
672+ def detect_interest_points (
674673 project_path ,
675674 process_timepoint = "All Timepoints" ,
676675 process_channel = "All channels" ,
@@ -758,7 +757,7 @@ def run_detect_interest_points(
758757 return
759758
760759
761- def run_interest_points_registration (
760+ def interest_points_registration (
762761 project_path ,
763762 process_timepoint = "All Timepoints" ,
764763 process_channel = "All channels" ,
@@ -839,7 +838,7 @@ def run_interest_points_registration(
839838 return
840839
841840
842- def run_duplicate_transformations (
841+ def duplicate_transformations (
843842 project_path ,
844843 transformation_type = "channel" ,
845844 channel_source = None ,
@@ -943,7 +942,7 @@ def run_duplicate_transformations(
943942 return
944943
945944
946- def run_fusion (
945+ def fuse_dataset (
947946 project_path ,
948947 input_dict = {},
949948 result_path = None ,
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