Repository navigation
Questions about tutorial: 3D Noise Nuclei segmentation #152
Description
Activity
Hi @d33bs !
I'm not sure what's going on? I am not able to replicate what you describe.
I just downloaded the tutorial and ran the included3DNucleiPipelineComputeConsumingFinal.cppipein CellProfiler 4.2.6 built and 4.28 source on Mac and it produced 20 rows as expected inMyExpt_RealsizeNuclei.csv. (There shouldn't be any appreciable differences between running the 4.2.1 pipeline in 4.26. or 4.2.8)I'll get a citation.cff up in the repo shortly. Thanks for your efforts to make sure that such projects are appropriately credited!
Reacted by Dave BuntenTo directly answer your question, in CellProfiler for per-object .csv's (like
MyExpt_RealsizeNuclei.csv) we always expect one row output per object.Reacted by Dave BuntenThanks @ErinWeisbart ! I'll keep an eye out for the citation information!
I used
4.2.8through a Linux-based Dockerfile running on MacOS (uploaded for reference here). I wonder if the discrepancy might have been caused by the CLI - I used it instead of the GUI to gather the resulting profiles. My command looked like:cellprofiler -c -r -p 3d-nuclei-profiling.cppipe -o output -i inputdata.You found a CellProfiler bug 🐛 ! Headless should still respect that the images are 3D and it is not. I've filed an issue CellProfiler/CellProfiler#5125
Reacted by Dave BuntenThanks @ErinWeisbart for opening the new issue, hope things can be addressed!
Thanks also @bethac07! I'd be glad to verify - do you happen to know which setting "extract info from file headers" corresponds to in the
cppipefile? I'm not as familiar with that setting.
Hello, thanks for providing and maintaining this tutorial repo! I was looking for a good open source example of 3D image processing in CellProfiler and came across the
3D Noise Nuclei segmentationtutorial here.As a background, this tutorial dataset includes 4 3d images which are of shape: (T=1, C=1, Z=100, Y=258, X=258). Each image seems to contain about 5 objects. A
cppipefile is included which can help process these images. I was able to run the pipeline to successfully create profiles using CellProfilerv4.2.8.Data differences
I noticed that after running the
cppipeon the source images I ended up with a CSV calledMyExpt_RealsizeNuclei.csvwhich appeared to have nuclei features included. Based on some work with 2d data within CellProfiler I was somewhat surprised to find this file contained 400 rows (seemingly in alignment with z-slices but not total objects). See here: MyExpt_RealsizeNuclei.csv.In making some slight changes to the
cppipefile (see here) I was able to reduce this down to 20 rows (in alignment with the actual objects from the images - 5 per image). See here: MyExpt_RealsizeNuclei.csv.Note: It looked like the tutorial
cppipefile was created using CellProfilerv4.2.1, so there could be some differences in processing, but I wasn't sure exactly.Question: what should we ideally expect for data output from the pipeline for this tutorial, given the data and goals? Mostly I wonder: should we expect 400 records of objects (1 per z-slice) or 20 records of objects (1 per actual object from the images).
Citations
How can we cite this repository and the related tutorial data I mention above? I didn't see any specifics on this but wanted to be sure to credit anyone involved.
Thanks for any help you can offer on both of these! And again, appreciate the effort which goes into maintaining this project - it's great!