Abstract
Here, we describe an optimized and detailed protocol for block-face serial microscopy tomography (FAST). FAST enables high-speed serial section fluorescence imaging of fixed brains at an axonal spatial resolution and subsequent image data processing. It renders brain-wide anatomical and functional analyses, including structural profiling of nuclear-stained brain at the single-cell level, cell-type-specific mapping with reporter animal brains and neuronal tracing with anterograde/retrograde labeling. Light-sheet fluorescence microscopy of cleared brains is advantageous in regard to imaging speed, but its spatial resolution is generally limited, whereas the opposite is true for conventional confocal microscopy. FAST offers a solution to overcome these technical limitations. This protocol describes detailed procedures for assembling the FAST hardware, sample preparation, imaging and image processing. A single imaging session takes as little as 2.4 h per mouse brain, and sample preparation requires 1 to several days, depending on pretreatments; however, multiple samples can be prepared simultaneously. We anticipate that FAST will contribute to unbiased and hypothesis-free approaches for a better understanding of brain systems.
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References
Ecker, J. R. et al. The BRAIN initiative cell census consortium: lessons learned toward generating a comprehensive brain cell atlas. Neuron 96, 542–557 (2017).
Seiriki, K. et al. High-speed and scalable whole-brain imaging in rodents and primates. Neuron 94, 1085–1100.e6 (2017).
Renier, N. et al. Mapping of brain activity by automated volume analysis of immediate early genes. Cell 165, 1789–1802 (2016).
Ye, L. et al. Wiring and molecular features of prefrontal ensembles representing distinct experiences. Cell 165, 1776–1788 (2016).
Eguchi, M. & Yamaguchi, S. In vivo and in vitro visualization of gene expression dynamics over extensive areas of the brain. Neuroimage 44, 1274–1283 (2009).
Reijmers, L. G., Perkins, B. L., Matsuo, N. & Mayford, M. Localization of a stable neural correlate of associative memory. Science 317, 1230–1233 (2007).
Vousden, D. A. et al. Whole-brain mapping of behaviourally induced neural activation in mice. Brain Struct. Funct. 220, 2043–2057 (2014).
Kim, Y. et al. Mapping social behavior-induced brain activation at cellular resolution in the mouse. Cell Rep. 10, 292–305 (2015).
Tatsuki, F. et al. Involvement of Ca(2+)-dependent hyperpolarization in sleep duration in mammals. Neuron 90, 70–85 (2016).
Seiriki, K. et al. Critical involvement of the orbitofrontal cortex in hyperlocomotion induced by NMDA receptor blockade in mice. Biochem. Biophys. Res. Commun. 480, 558–563 (2016).
Kim, Y. et al. Whole-brain mapping of neuronal activity in the learned helplessness model of depression. Front. Neural Circuits 10, 3 (2016).
Dodt, H. U. et al. Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain. Nat. Methods 4, 331–336 (2007).
Ragan, T. et al. Serial two-photon tomography for automated ex vivo mouse brain imaging. Nat. Methods 9, 255–258 (2012).
Gong, H. et al. High-throughput dual-colour precision imaging for brain-wide connectome with cytoarchitectonic landmarks at the cellular level. Nat. Commun. 7, 12142 (2016).
Tomer, R., Ye, L., Hsueh, B. & Deisseroth, K. Advanced CLARITY for rapid and high-resolution imaging of intact tissues. Nat. Protoc. 9, 1682–1697 (2014).
Susaki, E. A. et al. Advanced CUBIC protocols for whole-brain and whole-body clearing and imaging. Nat. Protoc. 10, 1709–1727 (2015).
Hama, H. et al. ScaleS: an optical clearing palette for biological imaging. Nat. Neurosci. 18, 1518–1529 (2015).
Silvestri, L., Bria, A., Sacconi, L., Iannello, G. & Pavone, F. S. Confocal light sheet microscopy: micron-scale neuroanatomy of the entire mouse brain. Opt. Express 20, 20582–20598 (2012).
Chen, F., Tillberg, P. W. & Boyden, E. S. Optical imaging. Expansion microscopy. Science 347, 543–548 (2015).
Murakami, T. C. et al. A three-dimensional single-cell-resolution whole-brain atlas using CUBIC-X expansion microscopy and tissue clearing. Nat. Neurosci. 21, 625–637 (2018).
Economo, M. N. et al. A platform for brain-wide imaging and reconstruction of individual neurons. Elife 5, e10566 (2016).
Economo, M. N. et al. Distinct descending motor cortex pathways and their roles in movement. Nature 563, 79–84 (2018).
Ellegood, J. et al. Clustering autism: using neuroanatomical differences in 26 mouse models to gain insight into the heterogeneity. Mol. Psychiatry 20, 118–125 (2014).
Renier, N. et al. iDISCO: a simple, rapid method to immunolabel large tissue samples for volume imaging. Cell 159, 896–910 (2014).
Susaki, E. A. & Ueda, H. R. Whole-body and whole-organ clearing and imaging techniques with single-cell resolution: toward organism-level systems biology in mammals. Cell Chem. Biol. 23, 137–157 (2016).
Kais, B. et al. DMSO modifies the permeability of the zebrafish (Danio rerio) chorion-implications for the fish embryo test (FET). Aquat. Toxicol. 140-141, 229–238 (2013).
Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).
Bria, A. & Iannello, G. TeraStitcher—a tool for fast automatic 3D-stitching of teravoxel-sized microscopy images. BMC Bioinformatics 13, 316 (2012).
Niedworok, C. J. et al. aMAP is a validated pipeline for registration and segmentation of high-resolution mouse brain data. Nat. Commun. 7, 11879 (2016).
Fürth, D. et al. An interactive framework for whole-brain maps at cellular resolution. Nat. Neurosci. 21, 139–149 (2017).
Dimidschstein, J. et al. A viral strategy for targeting and manipulating interneurons across vertebrate species. Nat. Neurosci. 19, 1743–1749 (2016).
Chan, K. Y. et al. Engineered AAVs for efficient noninvasive gene delivery to the central and peripheral nervous systems. Nat. Neurosci. 20, 1172–1179 (2017).
Dittgen, T. et al. Lentivirus-based genetic manipulations of cortical neurons and their optical and electrophysiological monitoring in vivo. Proc. Natl. Acad. Sci. USA 101, 18206–18211 (2004).
Acknowledgements
We are grateful to S. Yamaguchi (Gifu University) for providing Arc-dVenus-reporter mice; to K.-I. Inoue (Kyoto University) and M. Takada (Kyoto University) for providing and supporting the AAV-CMV-tdTomato vectors and the plasmid vector to express the AAV-PHP.eB capsid; to A. Yamanaka (Nagoya University) for providing the AAV plasmid vector, including the mouse alpha-CaMKII promoter; to G. Fishell (Harvard Medical School) for providing the pAAV-mDlx-GFP-Fishell-1 plasmid vector (AAV-mDLX-EGFP in Fig. 9) (Addgene, plasmid no. 83900)31; to K. Fujita (Osaka University) and T. Nagai (Osaka University) for helpful suggestions on the setup of the FAST apparatus; and to T. Hashimoto (Shizuoka University) for valuable support in image data processing. We also thank T. Funato (Nikon Instech), M. Sato (COMS), H. Tanaka (Yokogawa Electric), O. Kunitaki (Andor Technology) and S. Kameishi (Dosaka EM) for their valuable suggestions and support. This work was supported in part by JSPS KAKENHI, grant nos. JP17H06842 (K.S.), JP18K19498 (K.S.), JP17H05054 (A.K.) and JP17H03989 (H.H.); the JSPS Research Fellowships for Young Scientists, grant no. JP18J10350 (M.N.); MEXT KAKENHI, grant nos. JP18H05416 (H.H.) and JP18H05132 (A.K.); AMED, grant nos. JP18dm0107122h (H.H.), JP18dm0207061h (H.H.) and JP18am0101084; and grants from the Takeda Science Foundation, Japan (A.K.).
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Contributions
Conceptualization, K.S., A.K. and H.H.; methodology, K.S., A.K., T.N. and H.H.; sample preparation and imaging, K.S., A.K., M.N., Y.N., M.T., H.I. and K.Y.; investigation, K.S., A.K., M.N., A.H.-T., Y.A. and H.H.; writing, K.S., A.K., T.N. and H.H.; funding acquisition, K.S., A.K., M.N. and H.H.
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Journal peer review information: Nature Protocols thanks Pavel Osten and other anonymous reviewer(s) for their contribution to the peer review of this work.
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Key reference using this protocol
Seiriki, K. et al. Neuron 94, 1085–1100.e6 (2017): https://doi.org/10.1016/j.neuron.2017.05.017
Integrated supplementary information
Supplementary Figure 1 Example of imaging software settings for whole-brain imaging.
An example of the imaging protocol in Andor iQ software. Trigger out signal and reloading protocol must be included for the subsequent sectioning procedure and automatic repetition using the CP-700 program. In addition to this protocol setup, the external start mode is required to receive the start signal from the CP-700 program after sectioning. The mechanical laser shutter must be kept open for high-speed imaging; ‘561 ShutterKeepOpen’ is a user-designated protocol to keep the shutter of the 561-nm laser open.
Supplementary information
Supplementary Text and Figures
Supplementary Figure 1, Supplementary Tables 1 and 2
Supplementary Data
FASTitcher scripts, along with a user guide and a small sample dataset.
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Seiriki, K., Kasai, A., Nakazawa, T. et al. Whole-brain block-face serial microscopy tomography at subcellular resolution using FAST. Nat Protoc 14, 1509–1529 (2019). https://doi.org/10.1038/s41596-019-0148-4
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DOI: https://doi.org/10.1038/s41596-019-0148-4
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