“ONE: Expansion Microscopy at One Nanometer Resolution”, Ali H. Shaib, Abed Alrahman Chouaib, Vanessa Imani, Rajdeep Chowdhury, Svilen Veselinov Georgiev, Nikolaos Mougios, Mehar Monga, Sofiia Reshetniak, Daniel Mihaylov, Han Chen, Parisa Fatehbasharzad, Dagmar Crzan, Kim Ann Saal, Claudia Trenkwalder, Brit Mollenhauer, Tiago F. Outeiro, Julia Preobraschenski, Ute Becherer, Tobias Moser, Edward S. Boyden, A. Radu A. Aricescu, Markus Sauer, Felipe Opazo, Silvio Rizzoli2022-08-05 ()⁠:

Fluorescence imaging is one of the most versatile and widely-used tools in biology. Although techniques to overcome the diffraction barrier were introduced more than two decades ago, and the nominal attainable resolution kept improving to reach single-digit nm, fluorescence microscopy still fails to image the morphology of single proteins or small molecular complexes, either purified or in a cellular context.

Here we report a solution to this problem, in the form of one-nanometer expansion (ONE) microscopy. We combined the 10× axial expansion of the specimen (1000× by volume) with a fluorescence fluctuation analysis to achieve resolutions down to 1 nm or better.

We have successfully applied ONE microscopy to image cultured cells, tissues, viral particles, molecular complexes and single proteins. At the cellular level, using immunostaining, our technology revealed detailed nanoscale arrangements of synaptic proteins, including a quasi-regular organization of PSD95 clusters. At the single molecule level, upon main chain fluorescent labeling, we could visualize the shape of individual membrane and soluble proteins. Moreover, conformational changes undergone by the ~17 kDa protein calmodulin upon Ca2+ binding were readily observable. We could also image and classify molecular aggregates in cerebrospinal fluid samples from Parkinsons Disease (PD) patients, which represents a promising new development towards an improved PD diagnosis.

ONE microscopy is compatible with conventional microscopes and can be performed with the software we provide here as a free, open-source package.

This technology bridges the gap between high-resolution structural biology techniques and light microscopy, and provides a new avenue for discoveries in biology and medicine.