diff --git a/image_analysis/NeuralNetInferenceClient.cpp b/image_analysis/NeuralNetInferenceClient.cpp
index 3a65e106..88725ebd 100644
--- a/image_analysis/NeuralNetInferenceClient.cpp
+++ b/image_analysis/NeuralNetInferenceClient.cpp
@@ -242,13 +242,22 @@ std::optional<float> NeuralNetInferenceClient::Inference(const DiffractionExperi
 
     switch (experiment.GetByteDepthImage()) {
         case 1:
-            v = PrepareInternal(experiment, (int8_t *) image, q);
+            if (experiment.IsPixelSigned())
+                v = PrepareInternal(experiment, (int8_t *) image, q);
+            else
+                v = PrepareInternal(experiment, (uint8_t *) image, q);
             break;
         case 2:
-            v = PrepareInternal(experiment, (int16_t *) image, q);
+            if (experiment.IsPixelSigned())
+                v = PrepareInternal(experiment, (int16_t *) image, q);
+            else
+                v = PrepareInternal(experiment, (uint16_t *) image, q);
             break;
         case 4:
-            v = PrepareInternal(experiment, (int32_t *) image, q);
+            if (experiment.IsPixelSigned())
+                v = PrepareInternal(experiment, (int32_t *) image, q);
+            else
+                v = PrepareInternal(experiment, (uint32_t *) image, q);
             break;
         default:
             throw JFJochException(JFJochExceptionCategory::InputParameterInvalid, "Bit depth not supported");
@@ -259,7 +268,8 @@ std::optional<float> NeuralNetInferenceClient::Inference(const DiffractionExperi
         return {};
 
     float two_theta = atanf(
-            ((2.0f * experiment.GetPixelSize_mm() / experiment.GetDetectorDistance_mm()) * resp.value()));
+            ((2.0f * GetMaxPoolFactor(experiment) * experiment.GetPixelSize_mm()
+              / experiment.GetDetectorDistance_mm()) * resp.value()));
     float stheta = sinf(two_theta * 0.5f);
     float resolution = experiment.GetWavelength_A() / (2.0f * stheta);
     return resolution;