Comparison of Multiscale Imaging Methods for Brain Research

A major challenge in neuroscience is how to study structural alterations in the brain. Even small changes in synaptic composition could have severe outcomes for body functions. Many neuropathological diseases are attributable to disorganization of particular synaptic proteins. Yet, to detect and comprehensively describe and evaluate such often rather subtle deviations from the normal physiological status in a detailed and quantitative manner is very challenging. Here, we have compared side-by-side several commercially available light microscopes for their suitability in visualizing synaptic components in larger parts of the brain at low resolution, at extended resolution as well as at super-resolution. Microscopic technologies included stereo, widefield, deconvolution, confocal, and super-resolution set-ups. We also analyzed the impact of adaptive optics, a motorized objective correction collar and CUDA graphics card technology on imaging quality and acquisition speed. Our observations evaluate a basic set of techniques, which allow for multi-color brain imaging from centimeter to nanometer scales. The comparative multi-modal strategy we established can be used as a guide for researchers to select the most appropriate light microscopy method in addressing specific questions in brain research, and we also give insights into recent developments such as optical aberration corrections.

[1]  Kevin M. Dean,et al.  Light-Sheet Microscopy of Cleared Tissues with Isotropic, Subcellular Resolution , 2019, Nature Methods.

[2]  E. Sibille Molecular aging of the brain, neuroplasticity, and vulnerability to depression and other brain-related disorders , 2013, Dialogues in clinical neuroscience.

[3]  C. Barnes,et al.  Neural plasticity in the ageing brain , 2006, Nature Reviews Neuroscience.

[4]  Claire M Brown,et al.  Any Way You Slice It-A Comparison of Confocal Microscopy Techniques. , 2015, Journal of biomolecular techniques : JBT.

[5]  A. Diaspro Optical Fluorescence Microscopy , 2011 .

[6]  Yicong Wu,et al.  Faster, sharper, and deeper: structured illumination microscopy for biological imaging , 2018, Nature Methods.

[7]  Jan Keller-Findeisen,et al.  Three dimensional live-cell STED microscopy at increased depth using a water immersion objective. , 2018, The Review of scientific instruments.

[8]  J. Syka,et al.  Age-related changes in the central auditory system , 2015, Cell and Tissue Research.

[9]  Sjoerd Stallinga,et al.  Re-scan confocal microscopy: scanning twice for better resolution. , 2013, Biomedical optics express.

[10]  Kevin W Eliceiri,et al.  NIH Image to ImageJ: 25 years of image analysis , 2012, Nature Methods.

[11]  J. Huisken,et al.  A guide to light-sheet fluorescence microscopy for multiscale imaging , 2017, Nature Methods.

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

[13]  Bernardo L Sabatini,et al.  Anatomical and physiological plasticity of dendritic spines. , 2007, Annual review of neuroscience.

[14]  Dug Young Kim,et al.  Masked illumination scheme for a galvanometer scanning high-speed confocal fluorescence microscope. , 2011, Scanning.

[15]  Carol A Barnes,et al.  Neurobiological changes in the hippocampus during normative aging. , 2009, Archives of neurology.

[16]  Bi-Chang Chen,et al.  Rapid high resolution 3D imaging of expanded biological specimens with lattice light sheet microscopy. , 2020, Methods.

[17]  Jörg Enderlein,et al.  Image scanning microscopy. , 2010, Physical review letters.

[18]  Kristen M Harris,et al.  Ultrastructure of synapses in the mammalian brain. , 2012, Cold Spring Harbor perspectives in biology.

[19]  H. W. Yoo,et al.  Automated spherical aberration correction in scanning confocal microscopy. , 2014, The Review of scientific instruments.

[20]  France Lam,et al.  Super-resolution for everybody: An image processing workflow to obtain high-resolution images with a standard confocal microscope. , 2017, Methods.

[21]  Stefan W. Hell,et al.  Adaptive-illumination STED nanoscopy , 2017, Proceedings of the National Academy of Sciences.

[22]  B. Firestein,et al.  The dendritic tree and brain disorders , 2012, Molecular and Cellular Neuroscience.

[23]  R. Borlinghaus,et al.  HyVolution—the smart path to confocal super-resolution , 2016, Nature Methods.

[24]  M. Booth Adaptive optics in microscopy. , 2003, Philosophical transactions. Series A, Mathematical, physical, and engineering sciences.

[25]  Claire M Brown,et al.  Quantitative confocal microscopy: beyond a pretty picture. , 2014, Methods in cell biology.

[26]  M. Kessels,et al.  Cobl-like promotes actin filament formation and dendritic branching using only a single WH2 domain , 2018, The Journal of cell biology.

[27]  J. Morrison,et al.  The ageing cortical synapse: hallmarks and implications for cognitive decline , 2012, Nature Reviews Neuroscience.

[28]  Wesley R. Legant,et al.  High density three-dimensional localization microscopy across large volumes , 2016, Nature Methods.

[29]  Jens Rittscher,et al.  Sensorless adaptive optics for isoSTED nanoscopy , 2018, BiOS.

[30]  Å. Engqvist-Goldstein,et al.  Mammalian Abp1, a Signal-Responsive F-Actin–Binding Protein, Links the Actin Cytoskeleton to Endocytosis via the Gtpase Dynamin , 2001, The Journal of cell biology.

[31]  M. Kessels,et al.  Regulation of N-WASP and the Arp2/3 Complex by Abp1 Controls Neuronal Morphology , 2007, PloS one.

[32]  S. Rizzoli,et al.  Tools and limitations to study the molecular composition of synapses by fluorescence microscopy. , 2016, The Biochemical journal.

[33]  U. Valentin Nägerl,et al.  Superresolution imaging for neuroscience , 2013, Experimental Neurology.

[34]  Petar N Petrov,et al.  Light sheet approaches for improved precision in 3D localization-based super-resolution imaging in mammalian cells [Invited]. , 2018, Optics express.

[35]  S. Harlepp,et al.  Seeing is believing – multi-scale spatio-temporal imaging towards in vivo cell biology , 2017, Journal of Cell Science.

[36]  Christina M. Weaver,et al.  Dendritic spine changes associated with normal aging , 2013, Neuroscience.

[37]  R. Dobarzić,et al.  [Fluorescence microscopy]. , 1975, Plucne bolesti i tuberkuloza.

[38]  Gerald M. Rubin,et al.  Cortical column and whole-brain imaging with molecular contrast and nanoscale resolution , 2019, Science.

[39]  J. Fitzpatrick,et al.  Modern Laser Scanning Confocal Microscopy , 2018, Current protocols in cytometry.

[40]  D. Balschun,et al.  Syndapin I Loss-of-Function in Mice Leads to Schizophrenia-Like Symptoms. , 2020, Cerebral cortex.

[41]  Y. Badawi,et al.  Super-resolution microscopy for analyzing neuromuscular junctions and synapses , 2019, Neuroscience Letters.

[42]  T. Wilson,et al.  Method of obtaining optical sectioning by using structured light in a conventional microscope. , 1997, Optics letters.

[43]  Jan Huisken,et al.  Putting advanced microscopy in the hands of biologists , 2019, Nature Methods.

[44]  S. Hell,et al.  Fluorescence nanoscopy in cell biology , 2017, Nature Reviews Molecular Cell Biology.

[45]  C.E. Shannon,et al.  Communication in the Presence of Noise , 1949, Proceedings of the IRE.

[46]  M. Kessels,et al.  The functions of the actin nucleator Cobl in cellular morphogenesis critically depend on syndapin I , 2011, The EMBO journal.

[47]  J. Conchello,et al.  Three-dimensional imaging by deconvolution microscopy. , 1999, Methods.

[48]  Hari Shroff,et al.  Resolution Doubling in Live, Multicellular Organisms via Multifocal Structured Illumination Microscopy , 2012, Nature Methods.

[49]  B. Eaton,et al.  Neuronal epigenetics and the aging synapse , 2015, Front. Cell. Neurosci..

[50]  T. Takumi,et al.  Postsynaptic density proteins and their involvement in neurodevelopmental disorders. , 2018, Journal of biochemistry.

[51]  Oscar Marín,et al.  Interneuron dysfunction in psychiatric disorders , 2012, Nature Reviews Neuroscience.

[52]  S. Hell,et al.  Lens-based fluorescence nanoscopy , 2015, Quarterly Reviews of Biophysics.

[53]  S. Nakagawa,et al.  Super-resolution imaging of nuclear bodies by STED microscopy. , 2015, Methods in molecular biology.

[54]  Eun Seong Lee,et al.  Enhancing the isotropy of lateral resolution in coherent structured illumination microscopy. , 2014, Biomedical optics express.

[55]  Christian Eggeling,et al.  Adaptive optics allows STED-FCS measurements in the cytoplasm of living cells , 2019, Optics express.

[56]  R. Matsas,et al.  Synaptic dysfunction in neurodegenerative and neurodevelopmental diseases: an overview of induced pluripotent stem-cell-based disease models , 2018, Open Biology.

[57]  A. Meyer-Lindenberg,et al.  Neurophysiological correlates of age-related changes in working memory capacity , 2006, Neuroscience Letters.

[58]  Takuya Azuma,et al.  Super-resolution spinning-disk confocal microscopy using optical photon reassignment. , 2015, Optics express.

[59]  U. Kržič,et al.  The new 2D Superresolution mode for ZEISS Airyscan , 2017, Nature Methods.

[60]  Martin Schrader,et al.  Potential of confocal microscopes to resolve in the 50–100 nm range , 1996 .

[61]  Arianna Maffei,et al.  Author ’ s Accepted Manuscript Neurophysiology and Regulation of the Balance Between Excitation and Inhibition in Neocortical CircuitsE / I Balance in Health and Disease , 2016 .

[62]  Masahito Yamanaka,et al.  Introduction to super-resolution microscopy. , 2014, Microscopy.

[63]  Benjamin Schmid,et al.  Real-time multi-view deconvolution , 2015, Bioinform..

[64]  Sandrine Lévêque-Fort,et al.  Aberration-accounting calibration for 3D single-molecule localization microscopy. , 2017, Optics letters.

[65]  Na Ji Adaptive optical fluorescence microscopy , 2017, Nature Methods.

[66]  R. Leapman,et al.  Identification of PSD-95 in the Postsynaptic Density Using MiniSOG and EM Tomography , 2018, Front. Neuroanat..

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

[68]  C. Garner,et al.  The presynaptic cytomatrix of brain synapses , 2001, Cellular and Molecular Life Sciences CMLS.

[69]  M. Gustafsson Surpassing the lateral resolution limit by a factor of two using structured illumination microscopy , 2000, Journal of microscopy.

[70]  M. Sauer,et al.  Super-resolution microscopy demystified , 2019, Nature Cell Biology.

[71]  A. Różycka,et al.  The space where aging acts: focus on the GABAergic synapse , 2017, Aging cell.

[72]  Francesco Pampaloni,et al.  Life Sciences Require the Third Dimension This Review Comes from a Themed Issue on Cell Structure and Dynamics Edited Modern Three-dimensional Microscopy Spim Technology for Three-dimensional Cell Culture , 2022 .

[73]  G. Moser,et al.  Cell cycle dependent changes of chromosomes in mouse fibroblasts. , 1979, European journal of cell biology.

[74]  A. Trembleau,et al.  Improving Axial Resolution in Confocal Microscopy with New High Refractive Index Mounting Media , 2015, PloS one.

[75]  Alberto Diaspro,et al.  Multi-images deconvolution improves signal-to-noise ratio on gated stimulated emission depletion microscopy , 2014 .

[76]  M. Kessels,et al.  The Actin Nucleator Cobl Is Crucial for Purkinje Cell Development and Works in Close Conjunction with the F-Actin Binding Protein Abp1 , 2012, The Journal of Neuroscience.

[77]  D. Rusakov,et al.  The Nanoworld of the Tripartite Synapse: Insights from Super-Resolution Microscopy , 2017, Front. Cell. Neurosci..

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

[79]  Patrick R Hof,et al.  Changes in the structural complexity of the aged brain , 2007, Aging cell.

[80]  R. Heintzmann,et al.  Optical Sectioning and High Resolution in Single-Slice Structured Illumination Microscopy by Thick Slice Blind-SIM Reconstruction , 2015, PloS one.