diff --git a/python/cucim/src/cucim/core/operations/color/stain_normalizer.py b/python/cucim/src/cucim/core/operations/color/stain_normalizer.py
index a58d26bc7..3b2ec3298 100644
--- a/python/cucim/src/cucim/core/operations/color/stain_normalizer.py
+++ b/python/cucim/src/cucim/core/operations/color/stain_normalizer.py
@@ -57,7 +57,7 @@ def image_to_absorbance(image, source_intensity=255.0, dtype=cp.float32):
             "Source transmitted light intensity must be a positive value."
         )
     source_intensity = float(source_intensity)
-    if input_dtype == "f":
+    if input_dtype.kind == "f":
         min_val = source_intensity / 255.0
         max_val = source_intensity
     else:
diff --git a/python/cucim/tests/unit/core/test_stain_normalizer.py b/python/cucim/tests/unit/core/test_stain_normalizer.py
index 724135cf0..0e3f539e1 100644
--- a/python/cucim/tests/unit/core/test_stain_normalizer.py
+++ b/python/cucim/tests/unit/core/test_stain_normalizer.py
@@ -6,11 +6,31 @@
 import pytest
 
 from cucim.core.operations.color import (
+    image_to_absorbance,
     normalize_colors_pca,
     stain_extraction_pca,
 )
 
 
+class TestImageToAbsorbance:
+    @pytest.mark.parametrize("dtype", [cp.float32, cp.float64])
+    def test_should_clip_normalized_float_input_if_dtype_is_float(self, dtype):
+        image = cp.asarray(
+            [0.0, 1.0 / 510.0, 1.0 / 255.0, 0.5, 1.5],
+            dtype=dtype,
+        )
+
+        result = image_to_absorbance(
+            image,
+            source_intensity=1.0,
+            dtype=dtype,
+        )
+        expected = -cp.log(cp.clip(image, 1.0 / 255.0, 1.0))
+
+        assert result.dtype == cp.dtype(dtype)
+        cp.testing.assert_allclose(result, expected, rtol=1e-6, atol=1e-6)
+
+
 class TestStainExtractorMacenko:
     @pytest.mark.parametrize(
         "image, ErrorClass",