Adaptive-illumination STED nanoscopy

Significance We demonstrate DyMIN (Dynamic Intensity Minimum), a versatile illumination concept for coordinate-targeted superresolution fluorescence imaging. Dynamically adapting the illumination (and therefore resolution) for the probing of molecular signals to local structural features entails major reductions in the light dose applied to the sample over the duration of the image scan. The resulting strong photobleaching reduction benefits signal and image contrast, as well as resolution, in biological nanoscale imaging. We show DyMIN stimulated emission depletion nanoscopy of different challenging samples in two and three dimensions. The concepts called STED/RESOLFT superresolve features by a light-driven transfer of closely packed molecules between two different states, typically a nonfluorescent “off” state and a fluorescent “on” state at well-defined coordinates on subdiffraction scales. For this, the applied light intensity must be sufficient to guarantee the state difference for molecules spaced at the resolution sought. Relatively high intensities have therefore been applied throughout the imaging to obtain the highest resolutions. At regions where features are far enough apart that molecules could be separated with lower intensity, the excess intensity just adds to photobleaching. Here, we introduce DyMIN (standing for Dynamic Intensity Minimum) scanning, generalizing and expanding on earlier concepts of RESCue and MINFIELD to reduce sample exposure. The principle of DyMIN is that it only uses as much on/off-switching light as needed to image at the desired resolution. Fluorescence can be recorded at those positions where fluorophores are found within a subresolution neighborhood. By tuning the intensity (and thus resolution) during the acquisition of each pixel/voxel, we match the size of this neighborhood to the structures being imaged. DyMIN is shown to lower the dose of STED light on the scanned region up to ∼20-fold under common biological imaging conditions, and >100-fold for sparser 2D and 3D samples. The bleaching reduction can be converted into accordingly brighter images at <30-nm resolution.

[1]  S. Hell Far-field optical nanoscopy , 2010 .

[2]  Stefan W. Hell,et al.  Strong signal increase in STED fluorescence microscopy by imaging regions of subdiffraction extent , 2017, Proceedings of the National Academy of Sciences.

[3]  S. Hell,et al.  Fluorescence microscopy with diffraction resolution barrier broken by stimulated emission. , 2000, Proceedings of the National Academy of Sciences of the United States of America.

[4]  Stefan W. Hell,et al.  Coordinate-targeted fluorescence nanoscopy with multiple off states , 2016, Nature Photonics.

[5]  P. Tinnefeld,et al.  DNA origami–based standards for quantitative fluorescence microscopy , 2014, Nature Protocols.

[6]  Jiang He,et al.  Developmental mechanism of the periodic membrane skeleton in axons , 2014, eLife.

[7]  S. Hell,et al.  Breaking the diffraction resolution limit by stimulated emission: stimulated-emission-depletion fluorescence microscopy. , 1994, Optics letters.

[8]  X. Zhuang,et al.  Superresolution Imaging of Chemical Synapses in the Brain , 2010, Neuron.

[9]  Alberto Diaspro,et al.  Nanoscale Molecular Reorganization of the Inhibitory Postsynaptic Density Is a Determinant of GABAergic Synaptic Potentiation , 2017, The Journal of Neuroscience.

[10]  S. Hell,et al.  Ground-state-depletion fluorscence microscopy: A concept for breaking the diffraction resolution limit , 1995 .

[11]  Stephan J Sigrist,et al.  Ultrafast, temporally stochastic STED nanoscopy of millisecond dynamics , 2015, Nature Methods.

[12]  E. Manders,et al.  Controlled light-exposure microscopy reduces photobleaching and phototoxicity in fluorescence live-cell imaging , 2007, Nature Biotechnology.

[13]  X. Zhuang,et al.  Actin, Spectrin, and Associated Proteins Form a Periodic Cytoskeletal Structure in Axons , 2013, Science.

[14]  Alf Honigmann,et al.  Coaligned dual-channel STED nanoscopy and molecular diffusion analysis at 20 nm resolution. , 2013, Biophysical journal.

[15]  Marcel A. Lauterbach,et al.  Far-Field Optical Nanoscopy , 2009 .

[16]  M. Dahan,et al.  Quantitative Nanoscopy of Inhibitory Synapses: Counting Gephyrin Molecules and Receptor Binding Sites , 2013, Neuron.

[17]  J. Elf,et al.  Nanometer resolution imaging and tracking of fluorescent molecules with minimal photon fluxes , 2016, Science.

[18]  X. Zhuang,et al.  Breaking the Diffraction Barrier: Super-Resolution Imaging of Cells , 2010, Cell.

[19]  Yaron M Sigal,et al.  Mapping Synaptic Input Fields of Neurons with Super-Resolution Imaging , 2015, Cell.

[20]  Christian Eggeling,et al.  Macromolecular-scale resolution in biological fluorescence microscopy. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[21]  S. Hell Toward fluorescence nanoscopy , 2003, Nature Biotechnology.

[22]  Thorsten Staudt,et al.  Far-field optical nanoscopy with reduced number of state transition cycles. , 2011, Optics express.

[23]  Stefan W. Hell,et al.  Multicolour Multilevel STED nanoscopy of Actin/Spectrin Organization at Synapses , 2016, Scientific Reports.