diff --git a/.miv_gitlab-ci.yml b/.miv_gitlab-ci.yml
index 99946457..efd85224 100644
--- a/.miv_gitlab-ci.yml
+++ b/.miv_gitlab-ci.yml
@@ -1,5 +1,9 @@
 stages:
   - mirror
+  - build
+  - publish
+
+
  
 mirror-psi:
   stage: mirror
@@ -25,3 +29,12 @@ mirror-psi:
     - if: '$MODE != "sync"'
       when: never
     - when: always
+
+
+include:
+  - project: 'kits-maxiv/cfg-maxiv-gitlabci'
+    file: '/Docker.gitlab-ci.yml'
+
+variables:
+  DOCKER_REGISTRY: "harbor.maxiv.lu.se/daq"
+  GIT_SUBMODULE_STRATEGY: recursive
diff --git a/Dockerfile b/Dockerfile
new file mode 100644
index 00000000..717e31ee
--- /dev/null
+++ b/Dockerfile
@@ -0,0 +1,18 @@
+FROM harbor.maxiv.lu.se/dockerhub/library/ubuntu:22.04
+
+RUN set -ex;  \
+    apt-get update; \
+    apt-get install -y pkg-config git cmake make g++ libhdf5-dev libczmq-dev;\
+    rm -rf /var/lib/apt/lists/*
+
+
+COPY . /usr/src/nextgendcu
+
+RUN set -ex; \
+    cd /usr/src/nextgendcu; \
+    mkdir build; \
+    cd build; \
+    cmake -DJFJOCH_WRITER_ONLY=ON .. ;\
+    make -j8 install;
+
+ENTRYPOINT ["/opt/jfjoch/bin/jfjoch_writer"]
diff --git a/receiver/JFJochReceiver.cpp b/receiver/JFJochReceiver.cpp
index a566f49f..6766fd71 100644
--- a/receiver/JFJochReceiver.cpp
+++ b/receiver/JFJochReceiver.cpp
@@ -353,7 +353,7 @@ void JFJochReceiver::FrameTransformationThread() {
                     message.receiver_aq_dev_delay = delay;
             }
 
-            metadata.Export(message, 128 * experiment.GetModulesNum() * experiment.GetSummation());
+            metadata.Export(message, 256 * experiment.GetModulesNum() * experiment.GetSummation());
             if (message.image_collection_efficiency == 0.0f) {
                 plots.AddEmptyImage(message);
                 continue;
diff --git a/tests/NeuralNetResPredictorTest.cpp b/tests/NeuralNetResPredictorTest.cpp
index f6ad6620..a7ced2a4 100644
--- a/tests/NeuralNetResPredictorTest.cpp
+++ b/tests/NeuralNetResPredictorTest.cpp
@@ -45,7 +45,6 @@ TEST_CASE("NeuralNetResPredictor_Inference", "[LinearAlgebra][Coord]") {
     dataset.ReadVector(image_conv, start, file_size);
 
     auto res = predictor.Inference(experiment, image_conv.data());
-    std::cout << res << std::endl;
     REQUIRE(res < 1.5);
     REQUIRE(res > 1.4);
 }