diff --git a/dynamo/preprocessing/Preprocessor.py b/dynamo/preprocessing/Preprocessor.py
index b805fd0c3..58ff1c130 100644
--- a/dynamo/preprocessing/Preprocessor.py
+++ b/dynamo/preprocessing/Preprocessor.py
@@ -250,14 +250,16 @@ def standardize_adata(self, adata: AnnData, tkey: str, experiment_type: str) ->
         main_info_insert_adata("experiment_type=%s" % adata.uns["pp"]["experiment_type"], "uns['pp']", indent_level=2)
 
         self.convert_layers2csr(adata)
-        self.collapse_species_adata(adata)
+        if self.collapse_species_adata:
+            main_info("applying collapse species adata...")
+            self.collapse_species_adata(adata)
 
         main_debug("applying convert_gene_name function...")
         self.convert_gene_name(adata)
 
         main_debug("making adata observation index unique after gene name conversion...")
         self.unique_var_obs_adata(adata)
-
+        
     def _filter_cells_by_outliers(self, adata: AnnData) -> None:
         """Select valid cells based on the method specified as the preprocessor's `filter_cells_by_outliers`.
 
diff --git a/dynamo/preprocessing/preprocessor_utils.py b/dynamo/preprocessing/preprocessor_utils.py
index 99111be7e..50e446901 100644
--- a/dynamo/preprocessing/preprocessor_utils.py
+++ b/dynamo/preprocessing/preprocessor_utils.py
@@ -755,11 +755,9 @@ def filter_cells_by_outliers(
 
     if max_pmito_s is not None:
         detected_bool = detected_bool & (adata.obs["pMito"] < max_pmito_s)
-        main_info(
+        main_debug(
             "filtered out %d cells by %f%% of mitochondrial genes for a cell."
-            % (adata.n_obs - (adata.obs["pMito"] < max_pmito_s).sum(), max_pmito_s),
-            indent_level=2,
-        )
+            % ((adata.obs["pMito"] < max_pmito_s).sum(), max_pmito_s), indent_level=2)
 
     filter_bool = detected_bool if filter_bool is None else np.array(filter_bool) & detected_bool