@@ -172,7 +172,7 @@ def chop_and_analyse_svs(
172172 del thresh_asyn_variance
173173 del thresh_nuclei_variance
174174 del random_tiffs
175-
175+
176176 to_save = {"thresh_protein" : thresh_asyn , "thresh_nuclei" : thresh_nuclei }
177177 with open (
178178 os .path .join (folder , slice_name + "_thresholds.json" ),
@@ -184,7 +184,7 @@ def chop_and_analyse_svs(
184184 pixel_size_um = pixel_size * 1e6
185185
186186 start = time .time ()
187-
187+
188188 table_asyn = []
189189 table_nuclei = []
190190
@@ -230,7 +230,7 @@ def chop_and_analyse_svs(
230230 )
231231 table_asyn_temp = table_asyn_temp .replace_column (0 , xc )
232232 table_asyn_temp = table_asyn_temp .replace_column (1 , yc )
233-
233+
234234 xnc = pl .Series (
235235 "centroid-x" , table_nuclei_temp ["centroid-0" ].to_numpy () + xpos
236236 )
@@ -239,10 +239,10 @@ def chop_and_analyse_svs(
239239 )
240240 table_nuclei_temp = table_nuclei_temp .replace_column (0 , xnc )
241241 table_nuclei_temp = table_nuclei_temp .replace_column (1 , ync )
242-
242+
243243 if save_figs == True :
244244 import matplotlib
245-
245+
246246 matplotlib .use ("Agg" )
247247 fig , axs = self .plot_masks (
248248 IO .imread (tiffs [i ]),
@@ -263,12 +263,14 @@ def chop_and_analyse_svs(
263263 plt .savefig (
264264 os .path .join (fig_folder , figname ), format = "svg" , dpi = 600
265265 )
266-
266+
267267 if isinstance (table_asyn_temp , list ):
268268 table_asyn = table_asyn_temp
269269 else :
270- table_asyn = pl .concat ([table_asyn , table_asyn_temp ], rechunk = True )
271-
270+ table_asyn = pl .concat (
271+ [table_asyn , table_asyn_temp ], rechunk = True
272+ )
273+
272274 if isinstance (table_nuclei_temp , list ):
273275 table_nuclei = table_nuclei_temp
274276 else :
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