BBC: The Perfect Lens

Phew, glad this is finally going to be sorted! With the trojan work going on here at rff to determine the perfect bag, that only leaves the perfect camera to be sorted! :D
 
Wait till Leica finds out about this. We will probably see a Negacron and Negalux.

For sure Mandler knew about it.
He designed the Negacron but it was at that time just impossible to fit into M-mount;).
Wait until Photokina 'XX when they'll present the Negacron asph.:D
 
I am more interested in what this implies to super resolution imaging. Some interesting times ahead for anyone in the biomedical imaging sciences
 
I love scientific findings. It proves that some humans are still doing creative thinking.
 
The article implies something akin to motion pictures of macromolecules. Hard to tell how much of this is real, how much journalistic fluff .

Let's see - proteins have interesting motions on the nanosecond time scale. 1 billion frames per second X 5 mb per frame = how many SD cards ? ;-)

Randy
 
The article implies something akin to motion pictures of macromolecules. Hard to tell how much of this is real, how much journalistic fluff .

Let's see - proteins have interesting motions on the nanosecond time scale. 1 billion frames per second X 5 mb per frame = how many SD cards ? ;-)

Randy

Motion pictures of macromolecules are the holy grail of super-resolution imaging. The interesting part is you don't need to capture data at 1b frames/sec. Because they're all alike, you just need to capture 1b frames of 1b similar proteins, and then order them correctly. A new facility is being built near Hamburg (the European XFEL https://www.xfel.eu/research/detectors/) which may be able to image at up to 6k frames/sec, so a billion doesn't take too long...
We did an experiment at LCLS at SLAC recently, several TB (thats tera) of images in a few minutes... Forget SD cards, this sort of data gets steamed to dedicated NAS drives. Portability isn't an issue luckily (except when you have to ship 100's of kg of hard drives back to your home institution:().

Michael
 
I love scientific findings. It proves that some humans are still doing creative thinking.



I'm pretty happy to see them chanelling some of their creativity into figuring out ways to stop this planet degrading into a poluted prison for mankind. I don't need any more lenses currently ... I'd prefer clean air and water personally! :D
 
Motion pictures of macromolecules are the holy grail of super-resolution imaging. The interesting part is you don't need to capture data at 1b frames/sec. Because they're all alike, you just need to capture 1b frames of 1b similar proteins, and then order them correctly. A new facility is being built near Hamburg (the European XFEL https://www.xfel.eu/research/detectors/) which may be able to image at up to 6k frames/sec, so a billion doesn't take too long...
We did an experiment at LCLS at SLAC recently, several TB (thats tera) of images in a few minutes... Forget SD cards, this sort of data gets steamed to dedicated NAS drives. Portability isn't an issue luckily (except when you have to ship 100's of kg of hard drives back to your home institution:().

Michael

Michael , that sounds fascinating. Send me the refs if you have a chance .


Actually, I do computational MD, and was just being cheeky. Typically you save one out of a hundred computed frames, or even less, which still consumes TBs.

Randy
 
Michael , that sounds fascinating. Send me the refs if you have a chance .


Actually, I do computational MD, and was just being cheeky. Typically you save one out of a hundred computed frames, or even less, which still consumes TBs.

Randy

For an overly simplistic animation, check here http://lcls.slac.stanford.edu/AnimationViewCXIScience.aspx
There is a fascinating technique called "mapping of conformations" which I don't really understand, but can be used to sort random images in time and space. I saw a demonstration at a conference where they took a movie of some ice skaters, decreased the SNR to about 1, and then randomised the frames. They then fed the data into the algorithm, which recovered the original, noise-free movie in perfect order. It was unbelievable. If you're feeling like it, check out: https://pantherfile.uwm.edu/ourmazd/www/naturephysics09.pdf
But we digress...

Michael
 
I'm pretty happy to see them chanelling some of their creativity into figuring out ways to stop this planet degrading into a poluted prison for mankind. I don't need any more lenses currently ... I'd prefer clean air and water personally! :D

That's a dangerous statement to make on here, next people will be saying they don't need any more bags.
 
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