diff --git a/app/release_notes.txt b/app/release_notes.txt
index 98fc077ae..16cb2a8d7 100644
--- a/app/release_notes.txt
+++ b/app/release_notes.txt
@@ -6,10 +6,16 @@ Coming soon!
 
 New Features:
  - Save and resume auto-detection algorithm settings along with masks in the project file (per dataset). 
- - Crop images before digitization
+ - Crop images before digitization.
+ - Undo/Redo management system (used only for cropping images at the moment)
+ - Initial ability to run digitization on multiple images via NodeJS command-line
 
 Bug fixes:
  - Improve X Step with Interpolation algorithm for log-scale charts
+ - Improved unit test coverage
+
+Misc:
+ - Minor UI tweaks for mask creation
 
 Version 4.1
 ===========
diff --git a/app/tests/save_tests.js b/app/tests/save_tests.js
index 7119bf9d9..3a9d5e0e5 100644
--- a/app/tests/save_tests.js
+++ b/app/tests/save_tests.js
@@ -74,14 +74,38 @@ QUnit.test("Resume Version 4.2 with masks", function(assert) {
         assert.equal(autodetection1.mask.size, 264662, testLabelPrefix + "Check mask size for 1st dataset");
         let autodetection2 = plotData.getAutoDetectionDataForDataset(datasets[5]);
         assert.equal(autodetection2.mask.size, 14710, testLabelPrefix + "Check mask size for 6th dataset");
-
     };
+    let checkMeasurements = function(plotData, assert, testLabelPrefix) {
+        // distance
+        let distanceMeasurements = plotData.getMeasurementsByType(wpd.DistanceMeasurement);
+        assert.equal(distanceMeasurements.length, 1, testLabelPrefix + "Number of distance measurements");
+        assert.equal(distanceMeasurements[0].connectionCount(), 1, testLabelPrefix + "Number of distances");        
+        let axes = plotData.getAxesForMeasurement(distanceMeasurements[0]);
+        assert.equal(axes.pixelToDataDistance(distanceMeasurements[0].getDistance(0)), 5.969022081900202, testLabelPrefix + "Distance value");
+
+        // angle
+        let angleMeasurements = plotData.getMeasurementsByType(wpd.AngleMeasurement);
+        assert.equal(angleMeasurements.length, 1, testLabelPrefix + "Number of angle measurements");
+        assert.equal(angleMeasurements[0].connectionCount(), 1, testLabelPrefix + "Number of angles");
+        assert.equal(angleMeasurements[0].getAngle(0), 45.01999740464475, testLabelPrefix + "Angle value");
+
+        // area/perimeter
+        let areaMeasurements = plotData.getMeasurementsByType(wpd.AreaMeasurement);
+        assert.equal(areaMeasurements.length, 1, testLabelPrefix + "Number of area measurements");
+        assert.equal(areaMeasurements[0].connectionCount(), 1, testLabelPrefix + "Number of areas");        
+        axes = plotData.getAxesForMeasurement(areaMeasurements[0]);
+        assert.equal(axes.pixelToDataDistance(areaMeasurements[0].getPerimeter(0)), 22.18065208060926, testLabelPrefix + "Perimeter value");
+        assert.equal(axes.pixelToDataArea(areaMeasurements[0].getArea(0)), 30.245012069196335, testLabelPrefix + "Area value");
+
+    }; 
     let done = assert.async();
     wpdtest.loadPlotData("files/wpd4_2_with_masks.json").then(plotDataObjs => {
         checkAxes(plotDataObjs.plotData, assert, "Deserialize from JSON: ");
         checkAxes(plotDataObjs.plotData2, assert, "Serialize then deserialize: ");
         checkDatasets(plotDataObjs.plotData, assert, "Deserialize from JSON: ");
         checkDatasets(plotDataObjs.plotData2, assert, "Serialize then deserialize: ");
+        checkMeasurements(plotDataObjs.plotData, assert, "Deserialize from JSON: ");
+        checkMeasurements(plotDataObjs.plotData2, assert, "Serialize then deserialize: ");
         done();
     });
 });
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