diff --git a/src/spikeinterface/sorters/internal/tridesclous2.py b/src/spikeinterface/sorters/internal/tridesclous2.py
index 909a2d1cb3..ca1dfa1854 100644
--- a/src/spikeinterface/sorters/internal/tridesclous2.py
+++ b/src/spikeinterface/sorters/internal/tridesclous2.py
@@ -196,6 +196,8 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
 
         original_labels = peaks["channel_index"]
 
+        min_cluster_size = 50
+
         post_split_label, split_count = split_clusters(
             original_labels,
             recording,
@@ -208,8 +210,8 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
                 # feature_name="sparse_wfs",
                 neighbours_mask=neighbours_mask,
                 waveforms_sparse_mask=sparse_mask,
-                min_size_split=50,
-                min_cluster_size=50,
+                min_size_split=min_cluster_size,
+                min_cluster_size=min_cluster_size,
                 min_samples=50,
                 n_pca_features=3,
             ),
@@ -240,9 +242,10 @@ def _run_from_folder(cls, sorter_output_folder, params, verbose):
                 # criteria="percentile",
                 # threshold_percentile=80.,
                 criteria="distrib_overlap",
-                threshold_overlap=0.4,
+                threshold_overlap=0.3,
+                min_cluster_size=min_cluster_size+1,
                 # num_shift=0
-                num_shift=2,
+                num_shift=5,
             ),
             **job_kwargs,
         )
diff --git a/src/spikeinterface/sortingcomponents/clustering/merge.py b/src/spikeinterface/sortingcomponents/clustering/merge.py
index d892d0723a..45090452dc 100644
--- a/src/spikeinterface/sortingcomponents/clustering/merge.py
+++ b/src/spikeinterface/sortingcomponents/clustering/merge.py
@@ -398,6 +398,7 @@ def merge(
         threshold_diptest=0.5,
         threshold_percentile=80.0,
         threshold_overlap=0.4,
+        min_cluster_size=50,
         num_shift=2,
     ):
         if num_shift > 0:
@@ -414,7 +415,7 @@ def merge(
         chans1 = np.unique(peaks["channel_index"][inds1])
         target_chans1 = np.flatnonzero(np.all(waveforms_sparse_mask[chans1, :], axis=0))
 
-        if inds0.size < 40 or inds1.size < 40:
+        if inds0.size < min_cluster_size or inds1.size < min_cluster_size:
             is_merge = False
             merge_value = 0
             final_shift = 0
@@ -525,7 +526,9 @@ def merge(
         # DEBUG = True
         DEBUG = False
 
-        if DEBUG and is_merge:
+        # if DEBUG and is_merge:
+        # if DEBUG and (overlap > 0.1 and overlap <0.3):
+        if DEBUG:
             # if DEBUG and not is_merge:
             # if DEBUG and (overlap > 0.05 and overlap <0.25):
             # if label0 == 49 and label1== 65: