diff --git a/src/erlab/interactive/imagetool/slicer.py b/src/erlab/interactive/imagetool/slicer.py
index fa2d28e8..21c93386 100644
--- a/src/erlab/interactive/imagetool/slicer.py
+++ b/src/erlab/interactive/imagetool/slicer.py
@@ -308,15 +308,18 @@ def qsel_args_from_indexers(
         if dim in binned_dim_set:
             coord = data[dim][selector].values
             center = float(np.round(coord.mean(), order))
-            width = float(np.round(coord[-1] - coord[0] + inc, order))
+            width = float(np.abs(np.round(coord[-1] - coord[0] + inc, order)))
 
             out[dim] = center
-            if not np.allclose(
-                data[dim]
-                .sel({dim: slice(center - width / 2, center + width / 2)})
-                .values,
-                coord,
-            ):
+            slice_obj = slice(center - width / 2, center + width / 2)
+            if coord[0] > coord[-1]:
+                slice_obj = slice(
+                    slice_obj.stop,
+                    slice_obj.start,
+                    -slice_obj.step if slice_obj.step is not None else None,
+                )
+
+            if not np.allclose(data[dim].sel({dim: slice_obj}).values, coord):
                 raise ValueError(
                     "Bin does not contain the same values as the original data."
                 )
@@ -1342,7 +1345,18 @@ def _bin_slice(
         center = self._indices[cursor][axis]
         if self._binned[cursor][axis]:
             window = self._bins[cursor][axis]
-            return slice(center - window // 2, center + (window - 1) // 2 + 1)
+            start = center - window // 2
+            stop = center + (window - 1) // 2 + 1
+            start = max(0, start)
+            stop = min(self._obj.shape[axis], stop)
+            size = stop - start
+            if size < window:
+                missing = window - size
+                if start == 0:
+                    stop = min(self._obj.shape[axis], stop + missing)
+                elif stop == self._obj.shape[axis]:
+                    start = max(0, start - missing)
+            return slice(start, stop)
         if int_if_one:
             return center
         return slice(center, center + 1)
@@ -1353,8 +1367,7 @@ def _bin_along_axis(
         center = self._indices[cursor][axis]
         if not self._binned[cursor][axis]:
             return self._obj.data[(slice(None),) * axis + (center,)]
-        window = self._bins[cursor][axis]
-        selection = slice(center - window // 2, center + (window - 1) // 2 + 1)
+        selection = self._bin_slice(cursor, axis)
         return erlab.interactive.imagetool.fastbinning.fast_nanmean_skipcheck(
             self._obj.data[(slice(None),) * axis + (selection,)],
             axis=axis,
@@ -1373,7 +1386,6 @@ def _bin_along_multiaxis(
         """
         # Internal callers pass sorted, unique axes.
         reduced_axes: Sequence[int] = axis
-        bins = self._bins[cursor]
         binned = self._binned[cursor]
         indices = self._indices[cursor]
         selection: list[slice | int] = [slice(None)] * self._obj.ndim
@@ -1386,11 +1398,7 @@ def _bin_along_multiaxis(
                 # Keep binned axes in the view and track their positions after any
                 # earlier unbinned axes have been removed by integer indexing.
                 any_binned = True
-                center = indices[ax]
-                window = bins[ax]
-                selection[ax] = slice(
-                    center - window // 2, center + (window - 1) // 2 + 1
-                )
+                selection[ax] = self._bin_slice(cursor, ax)
                 selected_axis.append(ax - dropped)
             else:
                 all_binned = False
diff --git a/tests/interactive/imagetool/test_slicer.py b/tests/interactive/imagetool/test_slicer.py
index ffbe7303..1675a9c9 100644
--- a/tests/interactive/imagetool/test_slicer.py
+++ b/tests/interactive/imagetool/test_slicer.py
@@ -474,6 +474,19 @@ def test_bin_along_axis_unbinned_matches_integer_index_selection(qtbot) -> None:
     np.testing.assert_allclose(slicer._bin_along_axis(0, 1), values[:, 3, :])
 
 
+def test_bin_slice_descending_axis_boundary_window_two(qtbot) -> None:
+    data = xr.DataArray(
+        np.zeros((4, 3), dtype=np.float32),
+        dims=("x", "y"),
+        coords={"x": np.array([4.0, 3.0, 2.0, 1.0]), "y": np.arange(3)},
+    )
+    slicer = ArraySlicer(data, parent=QtCore.QObject())
+    slicer.set_indices(0, [0, 1], update=False)
+    slicer.set_bin(0, 0, 2, update=False)
+
+    assert slicer._bin_slice(0, 0) == slice(0, 2)
+
+
 def test_point_value_unbinned_returns_current_scalar(qtbot) -> None:
     values = np.arange(4 * 5, dtype=np.float32).reshape(4, 5)
     data = xr.DataArray(
@@ -588,6 +601,44 @@ def test_qsel_args_from_indexers_validates_live_bin_coordinates() -> None:
         qsel_args_from_indexers(data, {"x": slice(2, 5)}, ("x",))
 
 
+def test_qsel_args_desc_uniform_descending_axis_emits_positive_width() -> None:
+    data = xr.DataArray(
+        np.arange(5, dtype=np.float32),
+        dims=("x",),
+        coords={"x": np.array([5.0, 4.0, 3.0, 2.0, 1.0])},
+    )
+
+    args = qsel_args_from_indexers(data, {"x": slice(0, 2)}, ("x",))
+
+    assert args["x"] == 4.5
+    assert args["x_width"] > 0.0
+
+    actual = data.qsel(args)
+    expected = data.sortby("x").sel(
+        x=slice(
+            args["x"] - args["x_width"] / 2,
+            args["x"] + args["x_width"] / 2,
+        )
+    )
+    np.testing.assert_allclose(actual.values, expected.mean().values)
+
+
+def test_xslice_descending_hidden_axis_with_boundary_bin_succeeds() -> None:
+    values = np.arange(10, dtype=np.float32).reshape(2, 5)
+    data = xr.DataArray(
+        values,
+        dims=("x", "y"),
+        coords={"x": np.arange(2), "y": np.array([5.0, 4.0, 3.0, 2.0, 1.0])},
+    )
+    slicer = ArraySlicer(data, parent=QtCore.QObject())
+    slicer.set_indices(0, [0, 0], update=False)
+    slicer.set_bin(0, 1, 2, update=False)
+
+    selected = slicer.xslice(0, (0,))
+
+    np.testing.assert_allclose(selected.values, np.array([0.5, 5.5], dtype=np.float32))
+
+
 def test_isel_code_uses_call_kwargs_formatting(qtbot) -> None:
     data = xr.DataArray(
         np.zeros((4, 5, 6), dtype=np.float32),