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.
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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
Name | Function | Phone | |
---|---|---|---|
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 65621 | 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 65621 | donatus.krah(at)med.uni-goettingen.de |
Jonas Altendorf | Master’s Student, Artificial Intelligence Specialist | 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).