I hope to see (and collaborate with) many more people adopt and push forward continuous-rotation tomography!

Effective continuous-rotation tomography was enabled by the Apollo camera's unique, ultra-fast on-chip electron counting (to capture the movie of the rotating specimen with fine angular sampling), combined with it's ultra-low noise from on-chip CDS (to enable frame alignment and maximize contrast).

Seeing how continuous-rotation eliminated of the artifacts caused by discrete angular sampling in conventional tomography reminded me of seeing motion correction for SPA for the first time many years ago. I didn't realize these artifacts were so significant until I saw them eliminated.

Thanks for putting "Christian" in quotes. Sadly, just because someone is (or claims to be) a Christian doesn't necessarily mean all their actions are consistent with Jesus's character. (That's personally true of me, too.) But political actions clearly have much wider impacts and are heartbreaking.

Please consider donating now to World Relief or any other charity you prefer that serves refugee populations that are suddenly especially vulnerable here in the US.

My wife and I donated to World Relief, a Christian organization that serves 4000 refugees who have already arrived in the US, in addition to helping vulnerable populations in Sudan, South Sudan, Haiti, and the DRC. They have a 98% score on Charity Navigator.

worldrelief.org/stand-in-the...

I believe I heard them say they would share a recording at some point. Not sure of the details though.

I am particularly interested in this because, for many years, we've been pushing and developing continuous rotation tomography with our fast Apollo sensor technology. This has the potential to not only dramatically increase throughout but also improve data quality for cellular imaging.

Chlamy or maybe Julia's mycoplasma system seem appropriate, but then we need metrics to judge progress. For SPA of apoF, we have resolution, B-factor, Q score, etc. What metrics do we use for cellular imaging? The data is so rich.

Both statements were humorous, but also profound. For all the grief that apoF gets due to seeming overuse, it's been tremendously beneficial for technology, methods, and software development. The cell is MUCH more complex, but we need a similar model (like apoF) for development of cellular methods.

There are certainly applications where machine learning is a beneficial tool, but it's not ALWAYS the best option and even when it is, just because you can ultimately predict something doesn't mean you truly understand it.

There is a lot of excitement over the biological insights that can be gained by visualizing cells and tissues, and it's clear that this will require a multi-modal approach, using a variety of techniques and requiring a variety of new technologies and methods. There's a lot of exciting work to do!