diff --git a/stereo/algorithm/cell_pose/cell_pose.py b/stereo/algorithm/cell_pose/cell_pose.py
index 67ba9624..dbb86c6a 100644
--- a/stereo/algorithm/cell_pose/cell_pose.py
+++ b/stereo/algorithm/cell_pose/cell_pose.py
@@ -21,15 +21,18 @@
 
 class CellPose:
 
-    def __init__(self,
-                 img_path: str,
-                 out_path: str,
-                 photo_size: Optional[int] = 2048,
-                 photo_step: Optional[int] = 2000,
-                 model_type: Optional[str] = 'cyto2',
-                 dmin: Optional[int] = 10,
-                 dmax: Optional[int] = 40,
-                 step: Optional[int] = 10):
+    def __init__(
+            self,
+            img_path: str,
+            out_path: str,
+            photo_size: Optional[int] = 2048,
+            photo_step: Optional[int] = 2000,
+            model_type: Optional[str] = 'cyto2',
+            dmin: Optional[int] = 10,
+            dmax: Optional[int] = 40,
+            step: Optional[int] = 10,
+            gpu: Optional[bool] = False
+    ):
         """
 
         :param img_path: input file path.
@@ -44,6 +47,7 @@ def __init__(self,
         :param dmin: cell minimum diameter, default is 10.
         :param dmax: cell diameter, default is 40.
         :param step: the step size of cell diameter search, default is 10.
+        :param gpu: Whether to use gpu acceleration, the default is False.
         """
         self.img_path = img_path
         self.out_path = out_path
@@ -51,6 +55,7 @@ def __init__(self,
         self.photo_step = photo_step
         self.dmin = dmin
         self.dmax = dmax
+        self.gpu = gpu
         self.step = step
         self.model_type = model_type
         self.segment_cells()
@@ -75,7 +80,7 @@ def _process_image(self):
         patches = patchify.patchify(regray_image, (self.photo_size, self.photo_size), step=self.photo_step)
         wid = patches.shape[0]
         high = patches.shape[1]
-        model = models.Cellpose(gpu=True, model_type=self.model_type)
+        model = models.Cellpose(gpu=self.gpu, model_type=self.model_type)
         a_patches = np.full((wid, high, (self.photo_step), (self.photo_step)), 255)
         for i in range(wid):
             for j in range(high):