diff --git a/openpnm/io/_csv.py b/openpnm/io/_csv.py
index de78bc8108..d045aa943d 100644
--- a/openpnm/io/_csv.py
+++ b/openpnm/io/_csv.py
@@ -1,7 +1,7 @@
 import re
 
 import numpy as np
-from pandas import read_table
+from pandas import read_csv
 
 from openpnm.io import _parse_filename
 from openpnm.io._pandas import network_to_pandas, project_to_pandas
@@ -44,12 +44,11 @@ def network_from_csv(filename):
     from openpnm.network import Network
     fname = _parse_filename(filename=filename, ext='csv')
 
-    a = read_table(filepath_or_buffer=fname,
-                   sep=',',
-                   skipinitialspace=True,
-                   index_col=False,
-                   true_values=['T', 't', 'True', 'true', 'TRUE'],
-                   false_values=['F', 'f', 'False', 'false', 'FALSE'])
+    a = read_csv(filepath_or_buffer=fname,
+                 sep=',',
+                 skipinitialspace=True,
+                 header=0,
+                 low_memory=False)
 
     # First parse through all the items and re-merge columns
     dct = {}
@@ -87,6 +86,15 @@ def network_from_csv(filename):
         if k.startswith('throat.'):
             dct[k] = v[:Nt, ...]
 
+    # This is a fix for pandas loading in all data types as dtype('O')
+    # if it encounters mixed types in the file. For whatever reason
+    # the conversion to type 'float64' works without problem, however for
+    # boolean values, the dtype 'O' persists. That can lead to difficult
+    # to debug errors later on. Therefore here this fix:
+    for k, v in dct.items():
+        if type(v[0]) is bool:
+            dct[k] = v.astype(bool)
+
     network = Network()
     network.update(dct)
     return network