@@ -269,15 +269,15 @@ def analyze_videos(self):
         shuffle = self.root.shuffle_value
 
         videos = list(self.files)
-        save_as_csv = self.save_as_csv.checkState() == Qt.Checked
+        save_as_csv = self.save_as_csv.isChecked()
         videotype = self.video_selection_widget.videotype_widget.currentText()
 
         if self.root.is_multianimal:
             calibrate_assembly = (
-                self.calibrate_assembly_checkbox.checkState() == Qt.Checked
+                self.calibrate_assembly_checkbox.isChecked()
             )
             assemble_with_ID_only = (
-                self.assemble_with_ID_only_checkbox.checkState() == Qt.Checked
+                self.assemble_with_ID_only_checkbox.isChecked()
             )
             track_method = self.tracker_type_widget.currentText()
             edit_config(self.root.config, {"default_track_method": track_method})
@@ -332,13 +332,13 @@ def run_enabled(self):
         shuffle = self.root.shuffle_value
 
         videos = list(self.files)
-        save_as_csv = self.save_as_csv.checkState() == Qt.Checked
-        save_as_nwb = self.save_as_nwb.checkState() == Qt.Checked
-        filter_data = self.filter_predictions.checkState() == Qt.Checked
+        save_as_csv = self.save_as_csv.isChecked()
+        save_as_nwb = self.save_as_nwb.isChecked()
+        filter_data = self.filter_predictions.isChecked()
         videotype = self.video_selection_widget.videotype_widget.currentText()
         try:
             create_video_all_detections = (
-                self.create_detections_video_checkbox.checkState() == Qt.Checked
+                self.create_detections_video_checkbox.isChecked()
             )
         except AttributeError:
             create_video_all_detections = False
@@ -361,12 +361,12 @@ def run_enabled(self):
                 save_as_csv=save_as_csv,
             )
 
-        if self.plot_trajectories.checkState() == Qt.Checked:
+        if self.plot_trajectories.isChecked():
             bdpts = self.bodyparts_list_widget.selected_bodyparts
             self.root.logger.debug(
                 f"Selected body parts for plot_trajectories: {bdpts}"
             )
-            showfig = self.show_trajectory_plots.checkState() == Qt.Checked
+            showfig = self.show_trajectory_plots.isChecked()
             deeplabcut.plot_trajectories(
                 config,
                 videos=videos,
 
@@ -243,12 +243,12 @@ def create_videos(self):
             # Single animal scenario.
             # Color is based on bodypart.
             color_by = "bodypart"
-        filtered = bool(self.use_filtered_data_checkbox.checkState())
+        filtered = self.use_filtered_data_checkbox.isChecked()
 
         bodyparts = "all"
         if (
             len(self.bodyparts_to_use) != 0
-            and self.plot_all_bodyparts.checkState() != Qt.Checked
+            and not self.plot_all_bodyparts.isChecked()
         ):
             self.update_selected_bodyparts()
             bodyparts = self.bodyparts_to_use
@@ -258,9 +258,9 @@ def create_videos(self):
             videos=videos,
             shuffle=shuffle,
             filtered=filtered,
-            save_frames=bool(self.create_high_quality_video.checkState()),
+            save_frames=self.create_high_quality_video.isChecked(),
             displayedbodyparts=bodyparts,
-            draw_skeleton=bool(self.draw_skeleton_checkbox.checkState()),
+            draw_skeleton=self.draw_skeleton_checkbox.isChecked(),
             trailpoints=trailpoints,
             color_by=color_by,
         )
@@ -273,7 +273,7 @@ def create_videos(self):
             failed_videos_str = ", ".join(failed_videos)
             self.root.writer.write(f"Failed to create videos from {failed_videos_str}.")
 
-        if self.plot_trajectories.checkState():
+        if self.plot_trajectories.isChecked():
             deeplabcut.plot_trajectories(
                 config=config,
                 videos=videos,
 
@@ -186,13 +186,13 @@ def evaluate_network(self):
         config = self.root.config
 
         Shuffles = [self.root.shuffle_value]
-        plotting = self.plot_predictions.checkState() == Qt.Checked
+        plotting = self.plot_predictions.isChecked()
 
         bodyparts_to_use = "all"
         if (
             len(self.root.all_bodyparts)
             != len(self.bodyparts_list_widget.selected_bodyparts)
-        ) and self.use_all_bodyparts.checkState() == False:
+        ) and not self.use_all_bodyparts.isChecked():
             bodyparts_to_use = self.bodyparts_list_widget.selected_bodyparts
 
         deeplabcut.evaluate_network(