diff --git a/tests/test_series.py b/tests/test_series.py
index 207f438..cf1061c 100644
--- a/tests/test_series.py
+++ b/tests/test_series.py
@@ -4,6 +4,8 @@
 from sleap_roots.series import Series, find_all_series
 from pathlib import Path
 from typing import Literal
+from contextlib import redirect_stdout
+import io
 
 
 @pytest.fixture
@@ -56,6 +58,67 @@ def csv_path(tmp_path):
     )
     return csv_path
 
+def test_primary_prediction_not_found(tmp_path):
+    dummy_video_path = tmp_path / "dummy_video.mp4"
+    dummy_video_path.write_text("This is a dummy video file.")
+
+    # Create a dummy Series instance with a non-existent primary prediction file
+    output = io.StringIO()
+    with redirect_stdout(output):
+        Series.load(h5_path=str(dummy_video_path), primary_name="nonexistent")
+
+    # format file path string for assert statement
+    path_obj = Path(dummy_video_path)
+    parent_dir = path_obj.parent
+    filename_without_extension = path_obj.stem
+    new_file_path = parent_dir / filename_without_extension
+
+    assert output.getvalue() == f"Primary prediction file not found: {new_file_path}.nonexistent.predictions.slp\n"
+
+def test_lateral_prediction_not_found(tmp_path):
+    dummy_video_path = tmp_path / "dummy_video.mp4"
+    dummy_video_path.write_text("This is a dummy video file.")
+
+    # Create a dummy Series instance with a non-existent primary prediction file
+    output = io.StringIO()
+    with redirect_stdout(output):
+        Series.load(h5_path=str(dummy_video_path), lateral_name="nonexistent")
+
+    # format file path string for assert statement
+    path_obj = Path(dummy_video_path)
+    parent_dir = path_obj.parent
+    filename_without_extension = path_obj.stem
+    new_file_path = parent_dir / filename_without_extension
+
+    assert output.getvalue() == f"Lateral prediction file not found: {new_file_path}.nonexistent.predictions.slp\n"
+
+def test_crown_prediction_not_found(tmp_path):
+    dummy_video_path = tmp_path / "dummy_video.mp4"
+    dummy_video_path.write_text("This is a dummy video file.")
+
+    # Create a dummy Series instance with a non-existent primary prediction file
+    output = io.StringIO()
+    with redirect_stdout(output):
+        Series.load(h5_path=str(dummy_video_path), crown_name="nonexistent")
+
+    # format file path string for assert statement
+    path_obj = Path(dummy_video_path)
+    parent_dir = path_obj.parent
+    filename_without_extension = path_obj.stem
+    new_file_path = parent_dir / filename_without_extension
+
+    assert output.getvalue() == f"Crown prediction file not found: {new_file_path}.nonexistent.predictions.slp\n"
+
+def test_video_loading_error(tmp_path):
+    # Create a dummy Series instance with an invalid video file path
+    invalid_video_path = tmp_path / "invalid_video.mp4"
+
+    output = io.StringIO()
+    with redirect_stdout(output):
+        Series.load(h5_path=str(invalid_video_path))
+
+    # Check if the correct error message is output
+    assert output.getvalue() == f"Error loading video file {invalid_video_path}: File not found\n"
 
 def test_series_name(dummy_series):
     expected_name = "dummy_video"  # Based on the dummy_video_path fixture
@@ -85,6 +148,16 @@ def test_expected_count(series_instance, csv_path):
     assert series_instance.expected_count == 10
 
 
+def test_expected_count_error(series_instance, tmp_path):
+    series_instance.csv_path = tmp_path / "invalid"
+
+    output = io.StringIO()
+    with redirect_stdout(output):
+        series_instance.expected_count
+    # Check if the correct error message is output
+    assert output.getvalue() == "CSV path is not set or the file does not exist.\n"
+
+
 def test_qc_cylinder(series_instance, csv_path):
     series_instance.csv_path = csv_path
     assert series_instance.qc_fail == 0