Is it currently possible to subtract signal not from extracted particles, but from the raw micrographs?
I am familiar with the workflow of doing it via Particle Subtraction, but this job does not allow micrographs as an input. Thanks for your help!
For very heterogeneous samples, I could see picking particles of minor components from micrographs where the signal of the major species has been subtracted being useful (and then extracting from the original micrographs). Would need to be tested though, unclear how much benefit it would offer
If you take a look at project.py or projection_subtraction.py in the pyem repo, it wouldn’t be too hard to add the capability. I’d suggest that approach since it’s kind of a specialized task.
This type of signal subtraction is not implemented in cryoSPARC, and there are no plans for an implementation. You may want to try some of the suggestions in this thread, like