Hey @gab1one and @stelfrich,
Just a quick recap: This workflow does work on my computer but on my college’s Windows 10 machine and my linux machine an error is thrown when the Image Reader node tries to read the .svs file. In the Box file that I shared earlier there are now two knime.log files. One is for when I try to execute the image reader node on the windows machine, the other is when I try to only load 1 channel on that same windows machine. Here is a list of details that may or may not be relevant:
-All three systems are running Knime 4.0.
-I made sure that the linux and windows systems were running the same java version as my laptop as
determined by the ‘java -version’ command (JRE 8u201)
-My laptop has an intel i7 (8 logical processors, 2.8 GHz), 16 GB of RAM, and is running Windows 10 Home
-The linux machine has AMD Threadripper 2990wx (64 logical processors, 4 GHz) and 128 GB of RAM, and is running Ubuntu 16.04 LTS
-The windows machine is running an intel i9 (20 logical processors, 3.31 GHz), 64 GB of RAM, and is running Windows 10 Education
-For each one >90% of the RAM is dedicated to KNIME
-My preference is to load all of the channels because the color tiles are first being analyzed with Ilastik before further processing.
-The error is still thrown even when trying to load just one of the channels.
Thanks for your time,
P.S. I recognized from the node description that Cell Image Factory should be what loads an svs file this large. I’m not really bothered by how long it takes to load the imge using Planar Image Factory, I just want it to load.