diff --git a/src/embkit/align.py b/src/embkit/align.py
index aaf9742..b605606 100644
--- a/src/embkit/align.py
+++ b/src/embkit/align.py
@@ -110,3 +110,30 @@ def procrustes_scale(X, Y):
     denominators = np.sum(A * A, axis=0)
     k = np.divide(numerators, denominators, out=np.zeros_like(numerators), where=denominators!=0)
     return R, k, S
+
+
+def procrustes_scale_centered(X, Y):
+    """
+    Same as procrustes_scale, but mean-centers X and Y before fitting the rotation and scale.
+
+    To apply transformation:
+    (src - Xmean).dot(R) * k + Ymean # element-wise multiplication w per-dim scaling factors
+
+    Args:
+        X: The first matrix (N_points, N_dims).
+        Y: The second matrix (N_points, N_dims).
+
+    Returns:
+        R: The optimal rotation matrix (guaranteed det(R) = +1).
+        k: Per-dimension Scaling factors (shape: (N_dims,)), one scaling value per dim
+        Xmean: Per-dimension mean of X (shape: (N_dims,)), subtract before applying R/k
+        Ymean: Per-dimension mean of Y (shape: (N_dims,)), add back after applying R/k
+        S: Singular values of (X - Xmean).T @ (Y - Ymean)
+        
+    """
+    Xmean = np.array(X).mean(axis=0)
+    Ymean = np.array(Y).mean(axis=0)
+    Xc = np.array(X) - Xmean
+    Yc = np.array(Y) - Ymean
+    R, k, S = procrustes_scale(Xc, Yc)
+    return R, k, Xmean, Ymean, S
\ No newline at end of file
diff --git a/tests/preprocessing/test_align.py b/tests/preprocessing/test_align.py
index ae01a1d..20ea1eb 100644
--- a/tests/preprocessing/test_align.py
+++ b/tests/preprocessing/test_align.py
@@ -5,7 +5,9 @@
 from embkit.align import (
     calc_rmsd,
     procrustes,
+    procrustes_scale,
     matrix_spearman_alignment_linear,
+    procrustes_scale_centered,
 )
 
 
@@ -139,6 +141,66 @@ def test_procrustes_singular_values_are_sorted_nonnegative(self):
         self.assertTrue(np.all(S >= 0))
         np.testing.assert_array_equal(S, np.sort(S)[::-1])
 
+    # -------- procrustes_scale --------
+    def test_procrustes_scale_identity(self):
+        X = np.eye(3)
+        Y = np.eye(3)
+        R, k, S = procrustes_scale(X, Y)
+        np.testing.assert_array_almost_equal(R, np.eye(3))
+        np.testing.assert_array_almost_equal(k, np.ones(3))
+
+    def test_procrustes_scale_recovers_rotation_and_scale(self):
+        theta = np.pi / 5
+        R_true = np.array(
+            [[np.cos(theta), -np.sin(theta)],
+             [np.sin(theta),  np.cos(theta)]]
+        )
+        k_true = np.array([3.0, 3.0])
+
+        rng = np.random.default_rng(5)
+        X = rng.standard_normal((80, 2))
+        Y = (X @ R_true) * k_true
+
+        R, k, S = procrustes_scale(X, Y)
+
+        np.testing.assert_array_almost_equal(R, R_true, decimal=6)
+        np.testing.assert_array_almost_equal(k, k_true, decimal=6)
+
+        Y_pred = (X @ R) * k
+        np.testing.assert_array_almost_equal(Y_pred, Y, decimal=6)
+
+    # -------- procrustes_scale_centered --------
+    def test_procrustes_scale_centered_means_are_correct(self):
+        rng = np.random.default_rng(3)
+        X = rng.standard_normal((40, 2)) + np.array([5.0, -3.0])
+        Y = rng.standard_normal((40, 2)) + np.array([-2.0, 7.0])
+
+        R, k, Xmean, Ymean, S = procrustes_scale_centered(X, Y)
+
+        np.testing.assert_array_almost_equal(Xmean, X.mean(axis=0))
+        np.testing.assert_array_almost_equal(Ymean, Y.mean(axis=0))
+
+    def test_procrustes_scale_centered_recovers_rotation_scale_and_translation(self):
+        theta = np.pi / 3
+        R_true = np.array(
+            [[np.cos(theta), -np.sin(theta)],
+             [np.sin(theta),  np.cos(theta)]]
+        )
+        k_true = np.array([2.0, 2.0])
+        translation = np.array([10.0, -4.0])
+
+        rng = np.random.default_rng(4)
+        X = rng.standard_normal((100, 2)) + np.array([3.0, 3.0])
+        Y = ((X - X.mean(axis=0)) @ R_true) * k_true + translation
+
+        R, k, Xmean, Ymean, S = procrustes_scale_centered(X, Y)
+
+        np.testing.assert_array_almost_equal(R, R_true, decimal=6)
+        np.testing.assert_array_almost_equal(k, k_true, decimal=6)
+
+        Y_pred = ((X - Xmean) @ R) * k + Ymean
+        np.testing.assert_array_almost_equal(Y_pred, Y, decimal=6)
+
 
 if __name__ == '__main__':
     unittest.main()
\ No newline at end of file