diff --git a/imswitch/imcontrol/controller/controllers/HyphaController.py b/imswitch/imcontrol/controller/controllers/HyphaController.py
index a099f51ba..febee379f 100644
--- a/imswitch/imcontrol/controller/controllers/HyphaController.py
+++ b/imswitch/imcontrol/controller/controllers/HyphaController.py
@@ -132,7 +132,7 @@ def on_ended():
                 print(f"Track {track.kind} ended")
 
 
-    def laserActivate(self, laserId=0, value=0):
+    def setLaserActive(self, laserId=0, value=0):
         """
         Activates or deactivates a laser by setting its enabled state.
 
@@ -155,7 +155,7 @@ def laserActivate(self, laserId=0, value=0):
         """
         self.lasers[laserId].setEnabled(value)
         
-    def laserValue(self, laserId=0, value=0):
+    def setLaserValue(self, laserId=0, value=0):
         """
         Sets the value of a laser.
 
@@ -178,7 +178,7 @@ def laserValue(self, laserId=0, value=0):
         """    
         self.lasers[laserId].setValue(value)
         
-    def ledValue(self, ledId=0, value=0):
+    def setLEDValue(self, ledId=0, value=0):
         """
         Sets the value of an LED in an LED matrix.
 
@@ -200,7 +200,7 @@ def ledValue(self, ledId=0, value=0):
         """
         self.ledMatrix[ledId].setValue(value)
     
-    def snapImage(self, path="Default.tif"):
+    def getImage(self, path="Default.tif"):
         """
         Captures a single microscopic image and saves it to a specified path.
 
@@ -234,7 +234,7 @@ def snapImage(self, path="Default.tif"):
         tif.imsave(path,mImage)
         return mImage
         
-    def move(self, value, axis, is_absolute=True, is_blocking=True):
+    def setPosition(self, value, axis, is_absolute=True, is_blocking=True):
         """
         Moves the microscope stage in the specified axis by a certain distance.
 
@@ -249,10 +249,10 @@ def move(self, value, axis, is_absolute=True, is_blocking=True):
 
         Example Use:
             # Move the stage 10000 µm in the positive X direction in absolute coordinates and wait for the stage to arrive.
-            self.move(value=10000, axis="X", is_absolute=True, is_blocking=True)
+            self.setPosition(value=10000, axis="X", is_absolute=True, is_blocking=True)
             
             # move the stage 10000 µm in the negative Y direction in relative coordinates and return immediately.
-            self.move(value=-10000, axis="Y", is_absolute=False, is_blocking=False)
+            self.setPosition(value=-10000, axis="Y", is_absolute=False, is_blocking=False)
 
         Notes:
             - Successful movement requires supported axis.
@@ -295,11 +295,11 @@ def start_service(self, service_id, server_url="https://ai.imjoy.io/", workspace
                     "require_context": True,   
                 },
                 "type": "microscope",
-                "move": self.move,
-                "laserActivate": self.laserActivate,
-                "laserValue": self.laserValue,
-                "ledValue": self.ledValue,
-                "snapImage": self.snapImage
+                "move": self.setPosition,
+                "setLaserActive": self.setLaserActive,
+                "setLaserValue": self.setLaserValue,
+                "setLEDValue": self.setLEDValue,
+                "getImage": self.getImage
             }
         )
         # print("Workspace: ", workspace, "Token:", await server.generate_token({"expires_in": 3600*24*100}))
diff --git a/imswitch/imcontrol/controller/controllers/RecordingController.py b/imswitch/imcontrol/controller/controllers/RecordingController.py
index 433272e28..189f58b8b 100644
--- a/imswitch/imcontrol/controller/controllers/RecordingController.py
+++ b/imswitch/imcontrol/controller/controllers/RecordingController.py
@@ -6,6 +6,8 @@
 from fastapi.responses import StreamingResponse
 from fastapi import FastAPI, Response
 import cv2
+from PIL import Image
+import io
 
 from imswitch.imcommon.framework import Timer
 from imswitch.imcommon.model import ostools, APIExport
@@ -380,8 +382,6 @@ def sendScanFreq(self):
     def getTimelapseFreq(self):
         return self._widget.getTimelapseFreq()
 
-    
-
     def start_stream(self):
         '''
         return a generator that converts frames into jpeg's reads to stream
@@ -421,7 +421,6 @@ def streamer(self):
     def video_feeder(self):
         return StreamingResponse(self.streamer(), media_type="multipart/x-mixed-replace;boundary=frame")
 
-    
     '''
     def snapImage(self, name=None) -> None:
         self.snap(name)
@@ -431,7 +430,7 @@ def snapImageToPath(self, fileName: str = "."):
         """ Take a snap and save it to a .tiff file at the given fileName. """
         self.snap(name = fileName)
     
-    @APIExport(runOnUIThread=True)
+    @APIExport(runOnUIThread=False)
     def snapImage(self, output: bool = False):# -> np.ndarray:
         """ Take a snap and save it to a .tiff file at the set file path. """
         if output:
@@ -440,14 +439,18 @@ def snapImage(self, output: bool = False):# -> np.ndarray:
             self.snap()
 
     @APIExport(runOnUIThread=False)
-    def snapNumpyToFastAPI(self, ) -> Response:
+    def snapNumpyToFastAPI(self, detectorName=None) -> Response:
         # Create a 2D NumPy array representing the image
-        image = self.snap()
-        image = np.random.randint(0, 255, size=(100, 100), dtype=np.uint8)
+        images = self.snapNumpy()
+        
+        # get the image from the first detector if detectorName is not specified
+        if detectorName is None:
+            detectorName = self.getDetectorNamesToCapture()[0]
+        
+        # get the image from the specified detector    
+        image = images[detectorName]
         
         # using an in-memory image
-        from PIL import Image
-        import io
         im = Image.fromarray(image)
         
         # save image to an in-memory bytes buffer
@@ -457,7 +460,6 @@ def snapNumpyToFastAPI(self, ) -> Response:
             
         headers = {'Content-Disposition': 'inline; filename="test.png"'}
         return Response(im_bytes, headers=headers, media_type='image/png')
-        
 
     @APIExport(runOnUIThread=True)
     def startRecording(self) -> None: