Advanced CLARITY for rapid and high-resolution imaging of intact tissues
Open accessAbstract
CLARITY is a method for chemical transformation of intact biological tissues into a hydrogel-tissue hybrid, which becomes amenable to interrogation with light and macromolecular labels while retaining fine structure and native biological molecules. This emerging accessibility of information from large intact samples has created both new opportunities and new challenges. Here we describe protocols spanning multiple dimensions of the CLARITY workflow, ranging from simple, reliable and efficient lipid removal without electrophoretic instrumentation (passive CLARITY) to optimized objectives and integration with light-sheet optics (CLARITY-optimized light-sheet microscopy (COLM)) for accelerating data collection from clarified samples by several orders of magnitude while maintaining or increasing quality and resolution. The entire protocol takes from 7-28 d to complete for an adult mouse brain, including hydrogel embedding, full lipid removal, whole-brain antibody staining (which, if needed, accounts for 7-10 of the days), and whole-brain high-resolution imaging; timing within this window depends on the choice of lipid removal options, on the size of the tissue, and on the number and type of immunostaining rounds performed. This protocol has been successfully applied to the study of adult mouse, adult zebrafish and adult human brains, and it may find many other applications in the structural and molecular analysis of large assembled biological systems.
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When coupled with two-photon or light-sheet laser microscopy, whole mouse brains can be imaged entirely intact with sub-cellular resolution.
“When coupled with two-photon or light-sheet laser microscopy, whole mouse brains can be imaged entirely intact with sub-cellular resolution (Tomer et al., 2014).”
From The role of myelination in measures of white matter integrity: Combination of diffusion tensor imaging and two-photon microscopy of CLARITY intact brains (2017) · cites this paper as Tomer et al., 2014
The Overview of procedure and Anticipated Results (page unavailable) report high-resolution imaging through an intact mouse brain and whole-brain imaging with CLARITY-optimized light-sheet microscopy. The paper does not demonstrate whole-brain imaging with two-photon microscopy or establish sub-cellular resolution throughout the whole brain. (LLM, conf=0.86)
Experimental — accuracy not yet measuredVirus-mediated neuronal tract-tracing combined with CLARITY-optimized light-sheet microscopy revealed complete interruption of corticospinal tract fibres and pronounced depletion of glutamatergic reticulospinal fibres below the injury.
“Virus-mediated neuronal tract-tracing combined with CLARITY-optimized light-sheet microscopy23 revealed the complete interruption of corticospinal tract fibres and pronounced depletion of glutamatergic reticulospinal fibres below the injury (Fig. 1e and Extended Data Fig. 2a).”
From The neurons that restore walking after paralysis (2022) · cites this paper as [23]
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Cites
Deep tissue two-photon microscopy
Helmchen, F., & Denk, W. T. (2005) · Nature Methods · doi:10.1038/nmeth818 · Cited by 4,165 · see citing works
Optical Sectioning Deep Inside Live Embryos by Selective Plane Illumination Microscopy
Huisken, J., Swoger, J., Bene, F. D., Wittbrodt, J., & Stelzer, E. H. K. (2004) · Science · doi:10.1126/science.1100035 · Cited by 2,370 · see citing works
Structural and molecular interrogation of intact biological systems
Chung, K., Wallace, J., Kim, S.-Y., Kalyanasundaram, S., Andalman, A. S., Davidson, T. J., Mirzabekov, J. J., Zalocusky, K. A., Mattis, J., Denisin, A. K., et al. (2013) · Nature · doi:10.1038/nature12107 · Cited by 2,008 · see citing works
Self-citationReconstruction of Zebrafish Early Embryonic Development by Scanned Light Sheet Microscopy
Keller, P., Schmidt, A. D., Wittbrodt, J., & Stelzer, E. H. K. (2008) · Science · doi:10.1126/science.1162493 · Cited by 1,569 · see citing works
Whole-Brain Imaging with Single-Cell Resolution Using Chemical Cocktails and Computational Analysis
Susaki, E. A., Tainaka, K., Perrin, D., Kishino, F., Tawara, T., Watanabe, T. M., Yokoyama, C., Onoe, H., Eguchi, M., Yamaguchi, S., et al. (2014) · Cell · doi:10.1016/j.cell.2014.03.042 · Cited by 1,301 · see citing works
Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain
Dodt, H., Leischner, U., Schierloh, A., Jährling, N., Mauch, C. P., Deininger, K., Deussing, J. M., Eder, M., Zieglgänsberger, W., & Becker, K. (2007) · Nature Methods · doi:10.1038/nmeth1036 · Cited by 1,240 · see citing works
Scale: a chemical approach for fluorescence imaging and reconstruction of transparent mouse brain
Hama, H., Kurokawa, H., Kawano, H., Ando, R., Shimogori, T., Noda, H., Fukami, K., Sakaue-Sawano, A., & Miyawaki, A. (2011) · Nature Neuroscience · doi:10.1038/nn.2928 · Cited by 1,147 · see citing works
Rapid three-dimensional isotropic imaging of living cells using Bessel beam plane illumination
Planchon, T. A., Gao, L., Milkie, D. E., Davidson, M. W., Galbraith, J. A., Galbraith, C. G., & Betzig, E. (2011) · Nature Methods · doi:10.1038/nmeth.1586 · Cited by 1,117 · see citing works
Three-dimensional imaging of solvent-cleared organs using 3DISCO
Ertürk, A., Becker, K., Jährling, N., Mauch, C. P., Hojer, C. D., Egen, J. G., Hellal, F., Bradke, F., Sheng, M., & Dodt, H. (2012) · Nature Protocols · doi:10.1038/nprot.2012.119 · Cited by 997 · see citing works
Microscopy and its focal switch
Hell, S. W. (2008) · Nature Methods · doi:10.1038/nmeth.1291 · Cited by 993 · see citing works
SeeDB: a simple and morphology-preserving optical clearing agent for neuronal circuit reconstruction
Ke, M., Fujimoto, S., & Imai, T. (2013) · Nature Neuroscience · doi:10.1038/nn.3447 · Cited by 895 · see citing works
Network anatomy and in vivo physiology of visual cortical neurons
Bock, D. D., Lee, W., Kerlin, A. M., Andermann, M., Hood, G., Wetzel, A. W., Yurgenson, S., Soucy, E., Kim, H. S., & Reid, R. (2011) · Nature · doi:10.1038/nature09802 · Cited by 894 · see citing works
Wiring specificity in the direction-selectivity circuit of the retina
Briggman, K. L., Helmstaedter, M., & Denk, W. (2011) · Nature · doi:10.1038/nature09818 · Cited by 883 · see citing works
Conchello, J.-A., & Lichtman, J. W. (2005) · Nature Methods · doi:10.1038/nmeth815 · Cited by 804 · see citing works
CLARITY for mapping the nervous system
Chung, K., & Deisseroth, K. (2013) · Nature Methods · doi:10.1038/nmeth.2481 · Cited by 747 · see citing works
Self-citationPeng, H., Ruan, Z., Long, F., Simpson, J. H., & Myers, E. W. (2010) · Nature Biotechnology · doi:10.1038/nbt.1612 · Cited by 707 · see citing works
Serial two-photon tomography for automated ex vivo mouse brain imaging
Ragan, T. M., Kadiri, L. R., Venkataraju, K. U., Bahlmann, K., Sutin, J. D. B., Taranda, J., Arganda‐Carreras, I., Kim, Y., Seung, H. S., & Osten, P. (2012) · Nature Methods · doi:10.1038/nmeth.1854 · Cited by 660 · see citing works
Selective plane illumination microscopy techniques in developmental biology
Huisken, J., & Stainier, D. Y. R. (2009) · Development · doi:10.1242/dev.022426 · Cited by 611 · see citing works
Tomer, R., Khairy, K. A., Amat, F., & Keller, P. (2012) · Nature Methods · doi:10.1038/nmeth.2062 · Cited by 538 · see citing works
Self-citationPhotobleaching in Two-Photon Excitation Microscopy
Patterson, G. H., & Piston, D. W. (2000) · Biophysical Journal · doi:10.1016/s0006-3495(00)76762-2 · Cited by 528 · see citing works
Keller, P., Schmidt, A. D., Santella, A., Khairy, K. A., Bao, Z., Wittbrodt, J., & Stelzer, E. H. K. (2010) · Nature Methods · doi:10.1038/nmeth.1476 · Cited by 527 · see citing works
Multiview light-sheet microscope for rapid in toto imaging
Kržič, U., Gunther, S., Saunders, T. E., Streichan, S. J., & Hufnagel, L. (2012) · Nature Methods · doi:10.1038/nmeth.2064 · Cited by 517 · see citing works
Space–time wiring specificity supports direction selectivity in the retina
EyeWirers, T., Kim, J. S., Greene, M. J., Zlateski, A., Lee, K., Richardson, M., Turaga, S. C., Purcaro, M., Balkam, M., Robinson, A., et al. (2014) · Nature · doi:10.1038/nature13240 · Cited by 450 · see citing works
Highly Nonlinear Photodamage in Two-Photon Fluorescence Microscopy
Hopt, A., & Neher, E. (2001) · Biophysical Journal · doi:10.1016/s0006-3495(01)76173-5 · Cited by 442 · see citing works
Single-Synapse Analysis of a Diverse Synapse Population: Proteomic Imaging Methods and Markers
Micheva, K. D., Busse, B. L., Weiler, N. C., O’Rourke, N. A., & Smith, S. J. (2010) · Neuron · doi:10.1016/j.neuron.2010.09.024 · Cited by 336 · see citing works
Siedentopf, H., & Zsigmondy, R. (1902) · Annalen der Physik · doi:10.1002/andp.19023150102 · Cited by 328 · see citing works
Ca2+ Fluorescence Imaging with Pico- and Femtosecond Two-Photon Excitation: Signal and Photodamage
Koester, H. J., Baur, D., Uhl, R., & Hell, S. W. (1999) · Biophysical Journal · doi:10.1016/s0006-3495(99)77063-3 · Cited by 265 · see citing works
Textura del sistema nervioso del hombre y de los vertebrados
Agüeras, S. R. Y. C. (1992) · Dialnet (Universidad de la Rioja) · Cited by 264 · see citing works
Superpenetration optical microscopy by iterative multiphoton adaptive compensation technique
Tang, J., Germain, R. N., & Cui, M. (2012) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1119590109 · Cited by 244 · see citing works
Temperature Effect on the Nanostructureof SDS Micelles in Water
Hammouda, B. (2013) · Journal of Research of the National Institute of Standards and Technology · doi:10.6028/jres.118.008 · Cited by 205 · see citing works
TeraStitcher - A tool for fast automatic 3D-stitching of teravoxel-sized microscopy images
Bria, A., & Iannello, G. (2012) · BMC Bioinformatics · doi:10.1186/1471-2105-13-316 · Cited by 202 · see citing works
Light sheet microscopy for real-time developmental biology
Weber, M., & Huisken, J. (2011) · Current Opinion in Genetics & Development · doi:10.1016/j.gde.2011.09.009 · Cited by 167 · see citing works
Neuromantic – from Semi-Manual to Semi-Automatic Reconstruction of Neuron Morphology
Myatt, D. R., Hadlington, T., Ascoli, G. A., & Nasuto, S. J. (2012) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2012.00004 · Cited by 153 · see citing works
Basic building units and properties of a fluorescence single plane illumination microscope
Greger, K., Swoger, J., & Stelzer, E. H. K. (2007) · Review of Scientific Instruments · doi:10.1063/1.2428277 · Cited by 149 · see citing works
XuvTools: free, fast and reliable stitching of large 3D datasets
Emmenlauer, M., Ronneberger, O., Ponti, A., Schwarb, P., Griffa, A., Filippi, A., Nitschke, R., Driever, W., & BURKHARDT, H. (2009) · Journal of Microscopy · doi:10.1111/j.1365-2818.2008.03094.x · Cited by 142 · see citing works
Nonlinear oscillations and nonstationary flow in a zero temperature plasma
Kalman, G. J. (1960) · Annals of Physics · doi:10.1016/0003-4916(60)90014-2 · Cited by 126 · see citing works
Thin-sheet laser imaging microscopy for optical sectioning of thick tissues
Santi, P. A., Johnson, S. B., Hillenbrand, M., Grandpre, P. Z., Glass, T. J., & Leger, J. R. (2009) · BioTechniques · doi:10.2144/000113087 · Cited by 109 · see citing works
Light microscopy mapping of connections in the intact brain
Kim, S., Chung, K., & Deisseroth, K. A. (2013) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2013.10.005 · Cited by 72 · see citing works
Self-citationAutomated high speed stitching of large 3D microscopic images
Yu, Y., & Peng, H. (2011) · IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · doi:10.1109/isbi.2011.5872396 · Cited by 33 · see citing works
Image contrast enhancement in confocal ultramicroscopy
Kalchmair, S., Jährling, N., Becker, K., et al. (2009) · Optics Letters · doi:10.1364/ol.35.000079 · Cited by 25 · see citing works
Silvestri, L., Bria, A., Costantini, I., et al. (2013) · Journal of Visualized Experiments · doi:10.3791/50696 · Cited by 20 · see citing works
Correcting spherical aberrations in confocal light sheet microscopy: A theoretical study
Silvestri, L., Sacconi, L., & Pavone, F. S. (2014) · Microscopy Research and Technique · doi:10.1002/jemt.22330 · Cited by 17 · see citing works
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Romanov, R. A., Zeisel, A., Bakker, J., Girach, F., Hellysaz, A., Tomer, R., Alpár, A., Mulder, J., Clotman, F., Keimpema, E., et al. (2017) · Nature Neuroscience · doi:10.1038/nn.4462 · Cited by 502 · see citing works
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- Authors
- Tomer, R., Ye, L., Hsueh, B., & Deisseroth, K.
- Affiliations
- Howard Hughes Medical Institute (US)
- Stanford University (US)
- Corresponding author
- Deisseroth, Karl
- Venue
- Nature Protocols
- Published
- 2014-06-19
- Volume
- 9
- Issue
- 7
- Pages
- 1682-1697
- ISSN
- 1750-2799 (ISSN-L)
- 1754-2189
- PMC
- PMC4096681
- OpenAlex
- W2010114799
- Cited by
- 842
- References
- 42
- Citations by year
- 2026: 25 · 2025: 51 · 2024: 54 · 2023: 38 · 2022: 45 · 2021: 78 · 2020: 99 · 2019: 96 · 2018: 94 · 2017: 82 · 2016: 93 · 2015: 73 · 2014: 11
- FWCI
- 51.24
- Type
- journal article
- Language
- en
- Open access
- green
- europepmc.org
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Protocols (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institute of Mental Health (T32MH020016)
- National Institute on Drug Abuse (R37DA035377)
- Topics
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Advanced Fluorescence Microscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Cell Image Analysis Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Single-cell and spatial transcriptomics
- Keywords
- clarity, tissue clearing, lipid removal, light-sheet microscopy, whole-brain imaging, antibody staining, mouse brain, zebrafish brain, human brain
- MeSH terms
- Animals, Brain, Microscopy, Tissue Embedding, Hydrogel, Polyethylene Glycol Dimethacrylate, Mice, Optics and Photonics
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