Super-Resolution Imaging of the Extracellular Space in Living Brain Tissue

The extracellular space (ECS) of the brain has an extremely complex spatial organization, which has defied conventional light microscopy. Consequently, despite a marked interest in the physiological roles of brain ECS, its structure and dynamics remain largely inaccessible for experimenters. We combined 3D-STED microscopy and fluorescent labeling of the extracellular fluid to develop super-resolution shadow imaging (SUSHI) of brain ECS in living organotypic brain slices. SUSHI enables quantitative analysis of ECS structure and reveals dynamics on multiple scales in response to a variety of physiological stimuli. Because SUSHI produces sharp negative images of all cellular structures, it also enables unbiased imaging of unlabeled brain cells with respect to their anatomical context. Moreover, the extracellular labeling strategy greatly alleviates problems of photobleaching and phototoxicity associated with traditional imaging approaches. As a straightforward variant of STED microscopy, SUSHI provides unprecedented access to the structure and dynamics of live brain ECS and neuropil.

[1]  D. Kleinfeld,et al.  Fluctuations and stimulus-induced changes in blood flow observed in individual capillaries in layers 2 through 4 of rat neocortex. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[2]  Masahiko Watanabe,et al.  Release probability of hippocampal glutamatergic terminals scales with the size of the active zone , 2012, Nature Neuroscience.

[3]  Stefan W. Hell,et al.  Nanoscopy in a Living Mouse Brain , 2012, Science.

[4]  G. Shepherd,et al.  Three-Dimensional Structure and Composition of CA3→CA1 Axons in Rat Hippocampal Slices: Implications for Presynaptic Connectivity and Compartmentalization , 1998, The Journal of Neuroscience.

[5]  C. Nicholson,et al.  Diffusion in brain extracellular space. , 2008, Physiological reviews.

[6]  B. Gähwiler,et al.  Organotypic cultures of neural tissue , 1988, Trends in Neurosciences.

[7]  Martin J Booth,et al.  Adaptive optics enables 3D STED microscopy in aberrating specimens. , 2012, Optics express.

[8]  D. Rusakov,et al.  Efficient Integration of Synaptic Events by NMDA Receptors in Three-Dimensional Neuropil , 2015, Biophysical journal.

[9]  Laurent Cognet,et al.  Single-nanotube tracking reveals the nanoscale organization of the extracellular space in the live brain. , 2017, Nature nanotechnology.

[10]  Charles Nicholson,et al.  Brain Extracellular Space: The Final Frontier of Neuroscience. , 2017, Biophysical journal.

[11]  Alexander E. Dityatev,et al.  Neural ECM molecules in synaptic plasticity, learning, and memory. , 2014, Progress in brain research.

[12]  Bernardo L Sabatini,et al.  Live-cell superresolution imaging by pulsed STED two-photon excitation microscopy. , 2013, Biophysical journal.

[13]  T. Bonhoeffer,et al.  Live-cell imaging of dendritic spines by STED microscopy , 2008, Proceedings of the National Academy of Sciences.

[14]  A. van Harreveld,et al.  The magnitude of the extracellular space in electron micrographs of superficial and deep regions of the cerebral cortex. , 1970, Journal of cell science.

[15]  U Valentin Nägerl,et al.  STED nanoscopy of actin dynamics in synapses deep inside living brain slices. , 2011, Biophysical journal.

[16]  F. Kirchhoff,et al.  Microglia: New Roles for the Synaptic Stripper , 2013, Neuron.

[17]  U. Nägerl,et al.  Induction of hippocampal long-term potentiation increases the morphological dynamics of microglial processes and prolongs their contacts with dendritic spines , 2016, Scientific Reports.

[18]  T. M. Mayhew,et al.  Anatomy of the Cortex: Statistics and Geometry. , 1991 .

[19]  S. Herculano‐Houzel The Human Brain in Numbers: A Linearly Scaled-up Primate Brain , 2009, Front. Hum. Neurosci..

[20]  S.W. HELL,et al.  A compact STED microscope providing 3D nanoscale resolution , 2009, Journal of microscopy.

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

[22]  W. Denk,et al.  Targeted patch-clamp recordings and single-cell electroporation of unlabeled neurons in vivo , 2008, Nature Methods.

[23]  S. Kaech,et al.  Culturing hippocampal neurons , 2006, Nature Protocols.

[24]  C. Bourque Central mechanisms of osmosensation and systemic osmoregulation , 2008, Nature Reviews Neuroscience.

[25]  KM Harris,et al.  Dendritic spines of CA 1 pyramidal cells in the rat hippocampus: serial electron microscopy with reference to their biophysical characteristics , 1989, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[26]  G. Knott,et al.  Ultrastructural analysis of adult mouse neocortex comparing aldehyde perfusion with cryo fixation , 2015, eLife.

[27]  Marta Miquel,et al.  Casting a Wide Net: Role of Perineuronal Nets in Neural Plasticity , 2016, The Journal of Neuroscience.

[28]  E. Syková,et al.  Brain metabolism and diffusion in the rat cerebral cortex during pilocarpine-induced status epilepticus , 2008, Experimental Neurology.

[29]  U. Nägerl,et al.  Dissecting tripartite synapses with STED microscopy , 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

[30]  U Valentin Nägerl,et al.  Two-photon excitation STED microscopy in two colors in acute brain slices. , 2013, Biophysical journal.

[31]  R. Wepf,et al.  Noninvasive measurement of cell volume changes by negative staining. , 2005, Journal of biomedical optics.

[32]  U Valentin Nägerl,et al.  Two-color STED microscopy of living synapses using a single laser-beam pair. , 2011, Biophysical journal.

[33]  D. Debanne,et al.  Organotypic slice cultures: a technique has come of age , 1997, Trends in Neurosciences.

[34]  A. van Harreveld,et al.  A STUDY OF EXTRACELLULAR SPACE IN CENTRAL NERVOUS TISSUE BY FREEZE-SUBSTITUTION , 1965, The Journal of cell biology.

[35]  A. Araque,et al.  Tripartite synapses: glia, the unacknowledged partner , 1999, Trends in Neurosciences.

[36]  Paul H. E. Tiesinga,et al.  Connectomic Analysis of Brain Networks: Novel Techniques and Future Directions , 2016, Front. Neuroanat..

[37]  Mark A A Neil,et al.  3‐D stimulated emission depletion microscopy with programmable aberration correction , 2014, Journal of biophotonics.

[38]  Maiken Nedergaard,et al.  Changes in the composition of brain interstitial ions control the sleep-wake cycle , 2016, Science.

[39]  Roger Y Tsien,et al.  Very long-term memories may be stored in the pattern of holes in the perineuronal net , 2013, Proceedings of the National Academy of Sciences.

[40]  U. Nägerl,et al.  Superresolution imaging reveals activity-dependent plasticity of axon morphology linked to changes in action potential conduction velocity , 2017, Proceedings of the National Academy of Sciences.

[41]  M. Helmstaedter Cellular-resolution connectomics: challenges of dense neural circuit reconstruction , 2013, Nature Methods.

[42]  Timothy E. J. Behrens,et al.  Measuring macroscopic brain connections in vivo , 2015, Nature Neuroscience.

[43]  A. Lehmenkühler,et al.  Extracellular space parameters in the rat neocortex and subcortical white matter during postnatal development determined by diffusion analysis , 1993, Neuroscience.

[44]  Martin J. Booth,et al.  Three-dimensional STED microscopy of aberrating tissue using dual adaptive optics. , 2016, Optics express.

[45]  B. Stevens,et al.  New insights on the role of microglia in synaptic pruning in health and disease , 2016, Current Opinion in Neurobiology.

[46]  Daniel J. R. Christensen,et al.  Sleep Drives Metabolite Clearance from the Adult Brain , 2013, Science.

[47]  F. Kirchhoff,et al.  Temporal control of gene recombination in astrocytes by transgenic expression of the tamoxifen‐inducible DNA recombinase variant CreERT2 , 2006, Glia.

[48]  U. Nägerl,et al.  Spine neck plasticity regulates compartmentalization of synapses , 2014, Nature Neuroscience.

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

[50]  Charles Nicholson,et al.  In vivo diffusion analysis with quantum dots and dextrans predicts the width of brain extracellular space. , 2006, Proceedings of the National Academy of Sciences of the United States of America.

[51]  Hongbin Han,et al.  The brain interstitial system: Anatomy, modeling, in vivo measurement, and applications , 2017, Progress in Neurobiology.

[52]  Prof. Dr. Valentino Braitenberg,et al.  Anatomy of the Cortex , 1991, Studies of Brain Function.

[53]  R. Dingledine,et al.  Regional variation of extracellular space in the hippocampus. , 1990, Science.