ready for release 3.10

Author: Shrediquette

+acquisition/straddling_graph_oltsync.m

@@ -1,6 +1,5 @@
 function straddling_graph_oltsync(timing_table,frame_time,cam_delay,camera_principle,camera_type)
 %zeilen: die verschiedenen pins; spalten:die zeiten
-
 bot_cam = 0.45;
 bot_las = 0.2;
 amp = 0.2;
@@ -20,6 +19,7 @@ function straddling_graph_oltsync(timing_table,frame_time,cam_delay,camera_princ
 	clf(hf)
 end
 drawnow %drawing the annotations below takes ages.... Therefore directly display the empty figure to show some progress...
+pause(1)
 axh=axes(hf);
 axis tight
 %xlim([0 period*num_exposures_to_show])

PIVlab_capture_resources/PIVlab_capture_lensconfig.mat

@@ -3,4 +3,7 @@
     <Category UUID="FileClassCategory">
         <Label UUID="design"/>
     </Category>
+    <Category UUID="Deployment_Category_91596f3d-ebe3-4431-91d6-a4ce1c6322c4">
+        <Label UUID="Deployment_AdditionalFiles_91596f3d-ebe3-4431-91d6-a4ce1c6322c4"/>
+    </Category>
 </Info>

PIVlab_settings_default.mat

@@ -1,2 +1,2 @@
 <?xml version="1.0" encoding="UTF-8"?>
-<Info ToolboxConfigModel="{&quot;entries&quot;:[{&quot;content&quot;:{&quot;appGalleryLabel&quot;:{&quot;content&quot;:{&quot;categoryID&quot;:&quot;Deployment_Category_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;,&quot;labelID&quot;:&quot;Deployment_ToolboxAppGalleryFiles_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;},&quot;type&quot;:&quot;deployment.toolbox.model.ProjectLabel&quot;,&quot;uuid&quot;:&quot;083746bf-3c44-4e81-83a1-3106d4b5998a&quot;},&quot;authorEmail&quot;:&quot;Thielicke@optolution.com&quot;,&quot;authorName&quot;:&quot;William Thielicke&quot;,&quot;authorOrganization&quot;:&quot;OPTOLUTION Messtechnik GmbH&quot;,&quot;description&quot;:&quot;PIVlab is a free and open-source particle image velocimetry (PIV) software and is currently the most frequently cited PIV tool on the market. It can be used to calculate the velocity distribution within imported (or captured) images. It can also control OPTOLUTION’s lasers, cameras and synchronizers, and derive, display and export multiple parameters of the flow pattern. The simple graphical user interface makes PIV data acquisition and data post-processing fast and efficient.&quot;,&quot;gettingStartedGuideLabel&quot;:{&quot;content&quot;:{&quot;categoryID&quot;:&quot;Deployment_Category_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;,&quot;labelID&quot;:&quot;Deployment_GettingStartedGuideFile_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;},&quot;type&quot;:&quot;deployment.toolbox.model.ProjectLabel&quot;,&quot;uuid&quot;:&quot;487d5dd8-4f26-4033-8f6a-30bbc943227a&quot;},&quot;maxRelease&quot;:&quot;R2025a&quot;,&quot;minRelease&quot;:&quot;R2019b&quot;,&quot;outputFileName&quot;:&quot;PIVlab.mltbx&quot;,&quot;outputFolder&quot;:&quot;Toolbox&quot;,&quot;summary&quot;:&quot;Easy to use, GUI based tool to capture, analyze, validate, postprocess, visualize and simulate PIV data.\nhttp://PIVlab.de&quot;,&quot;supportedPlatforms&quot;:[&quot;Windows&quot;,&quot;Linux&quot;,&quot;Mac&quot;,&quot;MatlabOnline&quot;],&quot;toolboxFolder&quot;:&quot;/&quot;,&quot;toolboxImgLabel&quot;:{&quot;content&quot;:{&quot;categoryID&quot;:&quot;Deployment_Category_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;,&quot;labelID&quot;:&quot;Deployment_ToolboxImageFile_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;},&quot;type&quot;:&quot;deployment.toolbox.model.ProjectLabel&quot;,&quot;uuid&quot;:&quot;10807155-f770-4497-a8b0-f4c1f073ee09&quot;},&quot;toolboxName&quot;:&quot;PIVlab&quot;,&quot;toolboxVersion&quot;:&quot;3.10&quot;,&quot;uniqueId&quot;:&quot;f7c33dd1-18cd-4708-a025-7ce388954b13&quot;},&quot;type&quot;:&quot;deployment.toolbox.model.ToolboxConfiguration&quot;,&quot;uuid&quot;:&quot;0e726d17-79fa-455d-a6b3-cc911f4f3202&quot;},{&quot;content&quot;:{},&quot;type&quot;:&quot;deployment.toolbox.model.ProjectStateValidationIssueList&quot;,&quot;uuid&quot;:&quot;acb461d3-65f7-4129-b020-75fdada3bc67&quot;}],&quot;packageUris&quot;:[&quot;http://schema.mathworks.com/mf0/deployment_toolbox_model/1.0.0&quot;],&quot;version&quot;:&quot;1.0&quot;}" displayName="PIVlab" lastAccessed="1749218144968" taskID="0b462ec0-776c-4068-abc2-5bf455f1f056" type="Toolbox" uniqueId="0124b3d0-6c1e-45b4-9f19-2f795b3d118c"/>
+<Info ToolboxConfigModel="{&quot;entries&quot;:[{&quot;content&quot;:{&quot;appGalleryLabel&quot;:{&quot;content&quot;:{&quot;categoryID&quot;:&quot;Deployment_Category_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;,&quot;labelID&quot;:&quot;Deployment_ToolboxAppGalleryFiles_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;},&quot;type&quot;:&quot;deployment.toolbox.model.ProjectLabel&quot;,&quot;uuid&quot;:&quot;083746bf-3c44-4e81-83a1-3106d4b5998a&quot;},&quot;authorEmail&quot;:&quot;Thielicke@optolution.com&quot;,&quot;authorName&quot;:&quot;William Thielicke&quot;,&quot;authorOrganization&quot;:&quot;OPTOLUTION Messtechnik GmbH&quot;,&quot;description&quot;:&quot;PIVlab is a free and open-source particle image velocimetry (PIV) software and is currently the most frequently cited PIV tool on the market. It can be used to calculate the velocity distribution within imported (or captured) images. It can also control OPTOLUTION’s lasers, cameras and synchronizers, and derive, display and export multiple parameters of the flow pattern. The simple graphical user interface makes PIV data acquisition and data post-processing fast and efficient.&quot;,&quot;gettingStartedGuideLabel&quot;:{&quot;content&quot;:{&quot;categoryID&quot;:&quot;Deployment_Category_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;,&quot;labelID&quot;:&quot;Deployment_GettingStartedGuideFile_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;},&quot;type&quot;:&quot;deployment.toolbox.model.ProjectLabel&quot;,&quot;uuid&quot;:&quot;487d5dd8-4f26-4033-8f6a-30bbc943227a&quot;},&quot;maxRelease&quot;:&quot;R2025a&quot;,&quot;minRelease&quot;:&quot;R2019b&quot;,&quot;outputFileName&quot;:&quot;PIVlab.mltbx&quot;,&quot;outputFolder&quot;:&quot;Toolbox&quot;,&quot;summary&quot;:&quot;Easy to use, GUI based tool to capture, analyze, validate, postprocess, visualize and simulate PIV data.\nhttp://PIVlab.de&quot;,&quot;supportedPlatforms&quot;:[&quot;Windows&quot;,&quot;Linux&quot;,&quot;Mac&quot;,&quot;MatlabOnline&quot;],&quot;toolboxFolder&quot;:&quot;/&quot;,&quot;toolboxImgLabel&quot;:{&quot;content&quot;:{&quot;categoryID&quot;:&quot;Deployment_Category_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;,&quot;labelID&quot;:&quot;Deployment_ToolboxImageFile_0124b3d0-6c1e-45b4-9f19-2f795b3d118c&quot;},&quot;type&quot;:&quot;deployment.toolbox.model.ProjectLabel&quot;,&quot;uuid&quot;:&quot;10807155-f770-4497-a8b0-f4c1f073ee09&quot;},&quot;toolboxName&quot;:&quot;PIVlab&quot;,&quot;toolboxVersion&quot;:&quot;3.10&quot;,&quot;uniqueId&quot;:&quot;f7c33dd1-18cd-4708-a025-7ce388954b13&quot;},&quot;type&quot;:&quot;deployment.toolbox.model.ToolboxConfiguration&quot;,&quot;uuid&quot;:&quot;0e726d17-79fa-455d-a6b3-cc911f4f3202&quot;},{&quot;content&quot;:{},&quot;type&quot;:&quot;deployment.toolbox.model.ProjectStateValidationIssueList&quot;,&quot;uuid&quot;:&quot;acb461d3-65f7-4129-b020-75fdada3bc67&quot;}],&quot;packageUris&quot;:[&quot;http://schema.mathworks.com/mf0/deployment_toolbox_model/1.0.0&quot;],&quot;version&quot;:&quot;1.0&quot;}" displayName="PIVlab" lastAccessed="1750936938855" taskID="0b462ec0-776c-4068-abc2-5bf455f1f056" type="Toolbox" uniqueId="0124b3d0-6c1e-45b4-9f19-2f795b3d118c"/>