diff --git a/VERSION b/VERSION
index 7e541aec6..6b4d15773 100644
--- a/VERSION
+++ b/VERSION
@@ -1 +1 @@
-2.2.2
\ No newline at end of file
+2.2.3
\ No newline at end of file
diff --git a/autometa/binning/recursive_dbscan.py b/autometa/binning/recursive_dbscan.py
index 35efa2b4f..a5b75fb81 100644
--- a/autometa/binning/recursive_dbscan.py
+++ b/autometa/binning/recursive_dbscan.py
@@ -186,7 +186,11 @@ def recursive_dbscan(
             coverage_stddev_cutoff=coverage_stddev_cutoff,
             gc_content_stddev_cutoff=gc_content_stddev_cutoff,
         )
-        median_completeness = filtered_df.completeness.median()
+        if filtered_df.empty:
+            median_completeness = float("-inf")
+        else:
+            median_completeness = filtered_df.completeness.median()
+
         if median_completeness >= best_median:
             best_median = median_completeness
             best_df = df
@@ -379,7 +383,11 @@ def recursive_hdbscan(
             coverage_stddev_cutoff=coverage_stddev_cutoff,
             gc_content_stddev_cutoff=gc_content_stddev_cutoff,
         )
-        median_completeness = filtered_df.completeness.median()
+        if filtered_df.empty:
+            median_completeness = float("-inf")
+        else:
+            median_completeness = filtered_df.completeness.median()
+            
         if median_completeness >= best_median:
             best_median = median_completeness
             best_df = df
diff --git a/autometa/binning/utilities.py b/autometa/binning/utilities.py
index 389eabc5d..6b2d0737d 100644
--- a/autometa/binning/utilities.py
+++ b/autometa/binning/utilities.py
@@ -31,6 +31,8 @@
 
 import pandas as pd
 
+import numpy as np
+
 from typing import Iterable, Tuple
 
 from autometa.taxonomy.database import TaxonomyDatabase
@@ -183,7 +185,9 @@ def add_metrics(
         # redundant_marker_count = cluster_marker_counts.gt(1).sum(axis=1)
         # calculate completeness and purity and std. dev. metrics
         completeness = present_marker_count / reference_markers_count * 100
+        completeness = completeness.where(~np.isnan(completeness),pd.NA)
         purity = single_copy_marker_count / present_marker_count * 100
+        purity = purity.where(~np.isnan(purity), pd.NA)
         coverage_stddev = main_grouped_by_cluster.coverage.std()
         gc_content_stddev = main_grouped_by_cluster.gc_content.std()
         # merge metrics with given dataframe
diff --git a/nextflow.config b/nextflow.config
index 5c311c683..9d9e7bad5 100644
--- a/nextflow.config
+++ b/nextflow.config
@@ -12,7 +12,7 @@ manifest {
     doi = "https://doi.org/10.1093/nar/gkz148"
     mainScript = "main.nf"
     nextflowVersion = ">=21.04.0"
-    version = "2.2.2"
+    version = "2.2.3"
 }