Fixed flattened images not being scaled correctly.

src/dxtbx/format/FormatISISSXD.py

@@ -318,7 +318,9 @@ def get_raw_data(self, index: int, use_loaded_data=True) -> Tuple[flex.int]:
 
         return tuple(raw_data)
 
-    def get_flattened_data(self, scale_data: bool = True) -> Tuple[flex.int]:
+    def get_flattened_data(
+        self, image_range: None | Tuple = None, scale_data: bool = True
+    ) -> Tuple[flex.int]:
         """
         Image data summed along the time-of-flight direction
         """
@@ -337,15 +339,27 @@ def get_flattened_data(self, scale_data: bool = True) -> Tuple[flex.int]:
             panel_data = self._nxs_file["raw_data_1/detector_1/counts"][
                 0, start_idx:end_idx, :
             ]
-            panel_max_val = np.max(panel_data)
-            if max_val is None or max_val < panel_max_val:
-                max_val = panel_max_val
             panel_data = np.reshape(
                 panel_data, (panel_size[0], panel_size[1], num_tof_bins)
             )
-            panel_data = np.flipud(np.sum(panel_data, axis=2))
+            if image_range is not None:
+                assert (
+                    len(image_range) == 2
+                ), "expected image_range to be only two values"
+                assert (
+                    image_range[0] >= 0 and image_range[0] < image_range[1]
+                ), "image_range[0] out of range"
+                assert image_range[1] <= num_tof_bins, "image_range[1] out of range"
+                panel_data = np.flipud(
+                    np.sum(panel_data[:, :, image_range[0] : image_range[1]], axis=2)
+                )
+            else:
+                panel_data = np.flipud(np.sum(panel_data, axis=2))
             if panel_idx == 0 and self._panel_0_flipped():
                 panel_data = np.flipud(panel_data)
+            panel_max_val = np.max(panel_data)
+            if max_val is None or max_val < panel_max_val:
+                max_val = panel_max_val
             raw_data.append(panel_data)
 
         if scale_data: