routine

andor_repo/andor/andor_driver.py

@@ -53,7 +53,7 @@ def __init__(self):
         (ret, self.xpixels, self.ypixels) = self.cam.GetDetector()
         self.imageSize = self.xpixels*self.ypixels
         (ret) = self.cam.SetImage(1, 1, 1, self.xpixels, 1, self.ypixels)
-        (ret) = self.cam.SetExposureTime(0.010) # Set exposure time here! WAS 0.010 ms!
+        (ret) = self.cam.SetExposureTime(0.010) # seoncds, Set exposure time here! 
         (ret, self.fminExposure, self.fAccumulate, self.fKinetic) = self.cam.GetAcquisitionTimings()
 
         (ret) = self.cam.PrepareAcquisition()
@@ -121,11 +121,12 @@ def get_specific_image(self, image_number):
         image = np.reshape(fullFrameBuffer, (512,512)) #Converts c_long 262k array to 512x512 image numpy array
         return image
 
-    def get_crop_image(self, cropx_min = 401, cropx_max = 441, cropy_min = 358, cropy_max = 398, image_number = 1, zero = False):
+    def get_crop_image(self, cropx_min = 419, cropx_max = 459, cropy_min = 358, cropy_max = 398, image_number = 1, zero = False):
         (ret, fullFrameBuffer, validfirst, validlast) = self.cam.GetImages(image_number,image_number,self.imageSize)
         image = np.reshape(fullFrameBuffer, (512,512))
         image = image[cropx_min:cropx_max,cropy_min:cropy_max]*1
-        # image[17:20,18:21] = image[17:20,18:21] + 10000 # This line is used for visualizing pixels of interest on image in artiq
+        #[18:21,17:20] for 3x3 array as of 11/16/22
+        # image[19:20,18:20] = image[19:20,18:20] + 10000 # This line is used for visualizing pixels of interest on image in artiq
         if zero == False:
             image = image * 1
         if zero == True: