Hi everyone,
I wanted to make a small highlight on a recent pre-print from our lab. It's
a new ImageJ/Fiji easy-to-use open-source algorithm that quantitatively
addresses image artefacts in super-resolution microscopy and guides
researchers on how to minimise them.
It's out in bioRxiv:
http://www.biorxiv.org/content/early/2017/07/02/158279It particularly raises the notion that in super-resolution microscopy,
image quality and resolution are two different things =). A point at times
confused by the community.
All the best,
-Ricardo
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Ricardo Henriques, PhD
Research Group Leader at UCL, London
Quantitative Imaging and Nanobiophysics group
http://www.ucl.ac.uk/lmcb/research-group/ricardo-henriques-research-groupMRC-Laboratory for Molecular Cell Biology
University College London
Gower Street
London WC1E 6BT
United Kingdom
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ImageJ mailing list:
http://imagej.nih.gov/ij/list.html
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