diff --git a/openmc/filter.py b/openmc/filter.py
index 676bc66e17..063961d814 100644
--- a/openmc/filter.py
+++ b/openmc/filter.py
@@ -15,7 +15,7 @@ import openmc.checkvalue as cv
 
 _FILTER_TYPES = ['universe', 'material', 'cell', 'cellborn', 'surface',
                  'mesh', 'energy', 'energyout', 'mu', 'polar', 'azimuthal',
-                 'distribcell', 'delayedgroup', 'energyfunction']
+                 'distribcell', 'delayedgroup', 'energyfunction', 'celltocell', 'cellfrom', 'cellto']
 
 _CURRENT_NAMES = {1:  'x-min out', 2:  'x-min in',
                   3:  'x-max out', 4:  'x-max in',
@@ -335,6 +335,9 @@ class Filter(object):
         """
 
         if filter_bin not in self.bins:
+            print('Failed to find')
+            print(filter_bin)
+            print(self.bins)
             msg = 'Unable to get the bin index for Filter since "{0}" ' \
                   'is not one of the bins'.format(filter_bin)
             raise ValueError(msg)
@@ -533,7 +536,66 @@ class CellFilter(IntegralFilter):
 
     """
 
+class CellToCellFilter(IntegralFilter):
+    """Bins tally on which couple of cells the neutrons went from and to.     /CHANGE/
 
+    Parameters
+    ----------
+    bins : Iterable of Integral
+        openmc.Cell IDs.
+
+    Attributes
+    ----------
+    bins : Iterable of Integral
+        openmc.Cell IDs.
+    num_bins : Integral
+        The number of filter bins
+    stride : Integral
+        The number of filter, nuclide and score bins within each of this
+        filter's bins.
+
+    """
+
+class CellFromFilter(IntegralFilter):
+    """Bins tally on which couple of cells the neutrons came from.     /CHANGE/
+
+    Parameters
+    ----------
+    bins : Integral or Iterable of Integral
+        openmc.Cell IDs.
+
+    Attributes
+    ----------
+    bins : Integral or Iterable of Integral
+        openmc.Cell IDs.
+    num_bins : Integral
+        The number of filter bins
+    stride : Integral
+        The number of filter, nuclide and score bins within each of this
+        filter's bins.
+
+    """
+    
+class CellToFilter(IntegralFilter):
+    """Bins tally on which couple of cells the neutrons went to.     /CHANGE/
+
+    Parameters
+    ----------
+    bins : Integral or Iterable of Integral
+        openmc.Cell IDs.
+
+    Attributes
+    ----------
+    bins : Integral or Iterable of Integral
+        openmc.Cell IDs.
+    num_bins : Integral
+        The number of filter bins
+    stride : Integral
+        The number of filter, nuclide and score bins within each of this
+        filter's bins.
+
+    """
+    
 class CellbornFilter(IntegralFilter):
     """Bins tally events based on the cell that the particle was born in.
 
@@ -901,8 +963,12 @@ class RealFilter(Filter):
             return np.allclose(self.bins, other.bins)
 
     def get_bin_index(self, filter_bin):
-        i = np.where(self.bins == filter_bin[1])[0]
+        i = np.where(abs(self.bins -filter_bin[1]) < 1e-10)[0]
         if len(i) == 0:
+            print('Tally bins', self.bins)
+            print('Bins searched for:', filter_bin)
+            print('Search result', i)
+            print(self.bins - filter_bin[1])
             msg = 'Unable to get the bin index for Filter since "{0}" ' \
                   'is not one of the bins'.format(filter_bin)
             raise ValueError(msg)
@@ -940,6 +1006,9 @@ class EnergyFilter(RealFilter):
 
     def get_bin_index(self, filter_bin):
         # Use lower energy bound to find index for RealFilters
+        
+        #print(self.bins, filter_bin)
+        
         deltas = np.abs(self.bins - filter_bin[1]) / filter_bin[1]
         min_delta = np.min(deltas)
         if min_delta < 1E-3:
diff --git a/openmc/tallies.py b/openmc/tallies.py
index 0bf87de101..f3af788a65 100644
--- a/openmc/tallies.py
+++ b/openmc/tallies.py
@@ -239,6 +239,9 @@ class Tally(object):
         num_bins = 1
 
         for self_filter in self.filters:
+	  
+            #print("Looping through filters, num_bin", self_filter.num_bins, num_bins)
+            
             num_bins *= self_filter.num_bins
 
         return num_bins
@@ -1215,6 +1218,7 @@ class Tally(object):
 
         # Find the equivalent Filter in this Tally's list of Filters
         filter_found = self.find_filter(filter_type)
+        #print('searched for filter', filter_type, 'and found', filter_found)
 
         # Get the index for the requested bin from the Filter and return it
         filter_index = filter_found.get_bin_index(filter_bin)
@@ -1376,6 +1380,12 @@ class Tally(object):
                     else:
                         bins = self_filter.bins
 
+                #print('in get_filter_indices')
+                #print('arguments', filters, filter_bins)
+                #print('params')
+                #print(bins)
+                #print(type(self_filter), self_filter)
+
                 # Initialize a NumPy array for the Filter bin indices
                 filter_indices.append(np.zeros(len(bins), dtype=np.int))
 
@@ -1520,6 +1530,8 @@ class Tally(object):
             e.g., if the score(s) do not match those in the Tally.
 
         """
+        #print("\n In get_values")
+        #print("Tally shape", self.shape)
 
         # Ensure that the tally has data
         if (value == 'mean' and self.mean is None) or \
@@ -1529,6 +1541,13 @@ class Tally(object):
            (value == 'sum_sq' and self.sum_sq is None):
             msg = 'The Tally ID="{0}" has no data to return'.format(self.id)
             raise ValueError(msg)
+	  
+        #print('\n arguments')
+        #print(filters)
+        #print(filter_bins)
+        #print('\n Tally characteristics')
+        #print(self)
+        #print(self.name, self.filters, self.scores,self.num_filter_bins)
 
         # Get filter, nuclide and score indices
         filter_indices = self.get_filter_indices(filters, filter_bins)
@@ -1537,7 +1556,7 @@ class Tally(object):
 
         # Construct outer product of all three index types with each other
         indices = np.ix_(filter_indices, nuclide_indices, score_indices)
-
+        
         # Return the desired result from Tally
         if value == 'mean':
             data = self.mean[indices]