diff --git a/src/segger/io/preprocessor.py b/src/segger/io/preprocessor.py
index 9bbe62d..24ad48f 100644
--- a/src/segger/io/preprocessor.py
+++ b/src/segger/io/preprocessor.py
@@ -63,16 +63,22 @@ class ISTPreprocessor(ABC):
     transcript and boundary GeoDataFrames for the given platform.
     """
 
-    def __init__(self, data_dir: Path):
+    DEFAULT_MIN_QV: float | None = None
+
+    def __init__(self, data_dir: Path, min_qv: float | None = None):
         """
         Parameters
         ----------
         data_dir : Path
             Path to the raw data directory for the spatial platform.
+        min_qv : float, optional
+            Minimum transcript quality to keep. Defaults to the platform's
+            ``DEFAULT_MIN_QV`` (None = no quality filter).
         """
         data_dir = Path(data_dir)
         type(self)._validate_directory(data_dir)
         self.data_dir = data_dir
+        self.min_qv = type(self).DEFAULT_MIN_QV if min_qv is None else min_qv
 
     @staticmethod
     @abstractmethod
@@ -352,6 +358,7 @@ class XeniumPreprocessor(ISTPreprocessor):
     tx_fields = XeniumTranscriptFields()
     bd_fields = XeniumBoundaryFields()
     sw_version = lambda version: version[0] > 1
+    DEFAULT_MIN_QV: float = 20.0
 
     @staticmethod
     def _get_analysis_sw_version(data_dir: Path) -> str:
@@ -419,7 +426,7 @@ def transcripts(self) -> pl.DataFrame:
                 pl.col(raw.cell_id).cast(pl.Utf8),
             )
             # Filter data
-            .filter(pl.col(raw.quality) >= 20)
+            .filter(pl.col(raw.quality) >= self.min_qv)
             .filter(pl.col(raw.feature).str.contains(
                 '|'.join(raw.filter_substrings)).not_()
             )
@@ -564,7 +571,8 @@ def _infer_platform(data_dir: Path) -> str:
 
 def get_preprocessor(
     data_dir: Path,
-    platform: str | None = None
+    platform: str | None = None,
+    min_qv: float | None = None,
 ) -> ISTPreprocessor:
     data_dir = Path(data_dir)
     if platform is None:
@@ -575,4 +583,4 @@ def get_preprocessor(
             f"Available: {list(PREPROCESSORS)}"
         )
     cls = PREPROCESSORS[platform.lower()]
-    return cls(data_dir)
+    return cls(data_dir, min_qv=min_qv)