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


Video resources

Involved Scientists

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

Silvio O. Rizzoli, Universitätsmedizin Göttingen – Georg-August Universität Göttingen – Stiftung Öffentlichen Rechts, Germany

Group members


Dr. Ali ShaibGroup leader+49 (0) 551 39 65276ali.shaib(at)
Dr. Rajdeep ChowdhurySenior Associated Researcher, Nanoscale Specialist+49 (0) 551 39 65621rajdeep.chowdhur(at)
Dr. Milton MondalArtificial Intelligence Research+49 (0) 551 39 65994milton.mondal(at)
Megi PergjegjajMed, PhD Student, Diagnostics Analytics  
Maryam BaghaiMed Dent, PhD Student, Nanoscale Analytics  
Donatus KrahPhD Student, Neurodegeneration Diagnostics+49 (0) 551 39 65621donatus.krah(at)
Jonas AltendorfMaster’s Student, Artificial Intelligence Specialist j.altendorf(at)


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).