ONE Microscopy

Optimized Nanoscale Expansion microscopy

Super-resolution imaging has been applied to biological specimens for more than two decades. Nevertheless, it still falls short of describing the morphology of single molecules and the organization of molecular complexes, since most super-resolution microscopy implementations become error-prone below 25nm. Here we provide a simple and effective solution to this problem, one nanometer expansion (ONE) microscopy, generated by combining large-scale expansion microscopy with a detailed fluorescence fluctuation analysis. This approach was readily applied to molecular complexes, including synaptic vesicles, synaptic receptors, postsynaptic densities, microtubules, viral particles and alpha-synuclein aggregates, and to single molecules, as antibodies or the small calcium sensor calmodulin. ONE microscopy described molecular shapes and sizes, solved long-standing questions and revealed novel structures, implying that this is a promising approach for future applications. Its application should be especially facile, since ONE microscopy is compatible with conventional and even antiquated microscopes, and accommodates multiple expansion microscopy chemistries. 

Download Resources

BioRxivs preprint

ONE Platform

Java files

Manual

Video resources

Involved Scientists

Ali H. Shaib, Universitätsmedizin Göttingen – follow @AliHShaib on Twitter for updates

Silvio O. Rizzoli, Universitaetsmedizin Goettingen – Georg-August Universitaet Goettingen – Stiftung Oeffentlichen Rechts, Germany

Group members

 
Name Function Phone E-Mail
Dr. Ali Shaib Group leader +49 (0) 551 39 65276 ali.shaib(at)med.uni-goettingen.de
Dr. Rajdeep Chowdhury Senior Associated Researcher, Nanoscale Specialist +49 (0) 551 39 7097 rajdeep.chowdhur(at)med.uni-goettingen.de
Dr. Milton Mondal Artificial Intelligence Research +49 (0) 551 39 65994 milton.mondal(at)med.uni-goettingen.de
Megi Pergjegjaj Med, PhD Student, Diagnostics Analytics
Maryam Baghai Med Dent, PhD Student, Nanoscale Analytics
Donatus Krah PhD Student, Neurodegeneration Diagnostics +49 (0) 551 39 7097 donatus.krah(at)med.uni-goettingen.de
Jonas Altendorf Master’s Student, Artificial Intelligence Specialist +49 (0) 551 39 5892 j.altendorf(at)stud.uni-goettingen.de

 

This project receives funding from the European’s Union Horizon 2020 research and innovation programme under grant agreement No 951257(ERC Synergy Call 2019, ULTRARESOLUTION project).