diff --git a/src/agora/io/cells.py b/src/agora/io/cells.py
index d110869142a071d5d3f054b6a1e172b535e297b0..d86b3a13766f410a51a0efb39ed342606843cfaa 100644
--- a/src/agora/io/cells.py
+++ b/src/agora/io/cells.py
@@ -3,7 +3,7 @@ import typing as t
 from collections.abc import Iterable
 from itertools import groupby
 from pathlib import Path, PosixPath
-from functools import lru_cache, cached_property
+from functools import lru_cache
 
 import h5py
 import numpy as np
@@ -268,7 +268,7 @@ class Cells:
     def mothers_in_trap(self, trap_id: int):
         return self.mothers[trap_id]
 
-    @cached_property
+    @property
     def mothers(self):
         """
         Return nested list with final prediction of mother id for each cell
@@ -280,7 +280,7 @@ class Cells:
             self.ntraps,
         )
 
-    @cached_property
+    @property
     def mothers_daughters(self) -> np.ndarray:
         """
         Return mothers and daugters as a single array with three columns:
diff --git a/src/agora/io/signal.py b/src/agora/io/signal.py
index 489a52563d352f62f0d40a1624f5b435c4428210..ca1858aba718eb49ba50b28b20d8eeecd83d99cc 100644
--- a/src/agora/io/signal.py
+++ b/src/agora/io/signal.py
@@ -1,6 +1,7 @@
 import typing as t
 from copy import copy
-from functools import cached_property, lru_cache
+#from functools import cached_property, lru_cache
+from functools import lru_cache
 from pathlib import PosixPath
 
 import bottleneck as bn
@@ -77,12 +78,12 @@ class Signal(BridgeH5):
             )
         return df
 
-    @cached_property
+    @property
     def ntimepoints(self):
         with h5py.File(self.filename, "r") as f:
             return f["extraction/general/None/area/timepoint"][-1] + 1
 
-    @cached_property
+    @property
     def tinterval(self) -> int:
         tinterval_location = "time_settings/timeinterval"
         with h5py.File(self.filename, "r") as f:
@@ -214,12 +215,12 @@ class Signal(BridgeH5):
         for sig in self.siglist:
             print(sig)
 
-    @cached_property
+    @property
     def p_available(self):
         """Print signal list"""
         self.datasets
 
-    @cached_property
+    @property
     def available(self):
         """Return list of available signals"""
         try:
@@ -237,17 +238,17 @@ class Signal(BridgeH5):
     def get_merged(self, dataset):
         return self.apply_prepost(dataset, picks=False)
 
-    @cached_property
+    @property
     def merges(self):
         with h5py.File(self.filename, "r") as f:
             dsets = f.visititems(self._if_merges)
         return dsets
 
-    @cached_property
+    @property
     def n_merges(self):
         return len(self.merges)
 
-    @cached_property
+    @property
     def picks(self):
         with h5py.File(self.filename, "r") as f:
             dsets = f.visititems(self._if_picks)
diff --git a/src/aliby/pipeline.py b/src/aliby/pipeline.py
index 00f50a38df83f31b325b91a8dd5f4e24f017c77d..71e066f5f52c700ac3ebab21933d28c3d4255dd8 100644
--- a/src/aliby/pipeline.py
+++ b/src/aliby/pipeline.py
@@ -7,7 +7,11 @@ import re
 import traceback
 import typing as t
 from copy import copy
-from importlib.metadata import version
+try:
+    from importlib.metadata import version
+except ImportError:
+    # for python < 3.8
+    from importlib_metadata import version
 from pathlib import Path, PosixPath
 from time import perf_counter
 from typing import Union
@@ -597,7 +601,7 @@ class Pipeline(ProcessABC):
     ]:
         """
         Initialise pipeline components and if necessary use
-        exising file to continue existing experiments.
+        existing file to continue existing experiments.
 
 
         Parameters