Top Tweets for #smlms2017
@seamus_holden @HenriquesLab I did chat about this with @kmdouglass after you mentiomed it at #SMLMS2017 (thanks btw) - but even launching directly our 180mW into the slider I see high attenuation from the internal beamsplitter
First π¬ task after #SMLMS2017 was just to cave and image microtubules. Classic labelling density fail
cc @seamus_holden
On the #SRRF-Stream poster from #SMLMS2017, last panel shows #NanoJSQUIRREL guiding SRRF to achieve optimal SR https://t.co/87cpFncCxL
Heading home from #SMLMS2017 in the most optimistic of moods.
ππ @Owen_lab_KCL & @HenriquesLab -but maybe @quokka79 did all the hard work π€£
but astigmatic PSF shaping is not a bad middle ground. Looks like Hazen Babcock's Cspline might still be the winner #SMLMS2017
from best to worst, still double helix, then astigmatism, then biplane imaging #SMLMS2017
Now looking at high density data #SMLMS2017
effective for axial range, again double helix is the best, with biplane and astigmatism fighting it out afterwards #SMLMS2017
astigmatism is a little better, but double helix does seem to be the best #SMLMS2017
initial results: biplane calibration can make a massive difference in axial localisation resolution #SMLMS2017
Also an update on 2D localisation software #SMLMS2017
Final speaker, Than-an Pham presenting the current results of the 3D localisation software challenge. I am a fan of these guys #SMLMS2017
biologists want Live cell SR imaging that doesn't kill the cell. I suspect santa will take a while to deliver #SMLMS2017
SR imaging and Neuroimaging papers have the best publication odds right now #SMLMS2017
Now the stats on Natire methods, ~200 submissions per month, review 10-15% and accept about half #SMLMS2017
@rita_strack First an intro to Nature methods and then an intro to her. Never knew that biologists were the primary target #SMLMS2017
Her data looks to be particle tracking of SNAP labelled GABA molecules with simultaneous imaging of actin fibres #SMLMS2017
the term for it is Primed Conversion. Does not work on mEos 2 because of a subtle difference in structure #SMLMS2017
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