diff --git a/Readme.md b/Readme.md
index b0e98c4..cf248b3 100644
--- a/Readme.md
+++ b/Readme.md
@@ -1,5 +1,5 @@
 November 23, 2023
-Version: 0.8.0
+Version: 1.0.0
 
 <img src="./user_manual/figs/logo.png" style="zoom:20%;" />
 
diff --git a/example/params_file.yml b/example/params_file.yml
index b3f1548..b16d3f4 100644
--- a/example/params_file.yml
+++ b/example/params_file.yml
@@ -38,7 +38,7 @@
     march_backwards: True
     camera_names: cam1, cam2, cam3
     ROI: 0.0, 70.0, 0.0, 70.0, -25.0, 15.0
-    voxel_size: 10
+    voxel_size: 20
     N0: 100
     max_err: 0.25
     min_cam_match: 3
diff --git a/myptv/particle_matching_mod.py b/myptv/particle_matching_mod.py
index 2c71df3..43fa008 100644
--- a/myptv/particle_matching_mod.py
+++ b/myptv/particle_matching_mod.py
@@ -326,7 +326,7 @@ def find_candidates_with_two_cameras(self, camNum1, camNum2, frame):
         '''
         # fetching the cameras and the blobs
         cam1 = self.imsys.cameras[camNum1] ; cam2 = self.imsys.cameras[camNum2]
-        O1 = cam1.O ; O2 = cam2.O
+        # O1 = cam1.O ; O2 = cam2.O
         blobs1 = self.blobs[camNum1][frame]
         blobs2 = self.blobs[camNum2][frame]
         
@@ -355,7 +355,8 @@ def find_candidates_with_two_cameras(self, camNum1, camNum2, frame):
             if identifier in self.matchedBlobs[frame]: # this blob has been used
                 continue
             
-            r = cam2.get_r(b[0], b[1])
+            #r = cam2.get_r(b[0], b[1])
+            O2, r = cam2.get_epipolarline(b[0], b[1])
             a_center = sum([r[i]*(O_ROI[i]-O2[i]) for i in range(3)]) 
             a1, a2 = a_center - a_range/2 , a_center + a_range/2 
             
@@ -388,7 +389,8 @@ def find_candidates_with_two_cameras(self, camNum1, camNum2, frame):
             if identifier in self.matchedBlobs[frame]: # this blob has been used
                 continue
             
-            r = cam1.get_r(b[0], b[1])
+            # r = cam1.get_r(b[0], b[1])
+            O1, r = cam1.get_epipolarline(b[0], b[1])
             a_center = sum([r[i]*(O_ROI[i]-O1[i]) for i in range(3)]) 
             a1, a2 = a_center - a_range/2 , a_center + a_range/2 
             
@@ -927,8 +929,9 @@ def ray_traversed_voxels(self, ray):
             return
         
         cam  = self.imsys.cameras[ray[2][0]]
-        O = cam.O
-        r = cam.get_r(ray[0], ray[1])
+        # O = cam.O
+        # r = cam.get_r(ray[0], ray[1])
+        O, r = cam.get_epipolarline(ray[0], ray[1])
         r_ = r / sum(r**2)**0.5
 
         a1, a2 = (self.RIO[2][0] - O[2])/r_[2], (self.RIO[2][1] - O[2])/r_[2]
diff --git a/setup.py b/setup.py
index 1159559..12b350e 100644
--- a/setup.py
+++ b/setup.py
@@ -9,7 +9,7 @@
 setup(
     name='myptv',
     packages=find_packages(include=['myptv', 'myptv.fibers', 'myptv.TsaiModel']),
-    version='0.8.0',
+    version='1.0.0',
     description='A 3D Particle Tracking Velocimetry library',
     install_requires=['numpy', 'scipy', 'scikit-image','pandas','matplotlib','pyyaml', 'tk', 'Pillow'],
     author='Ron Shnapp',