Optimization of CLARITY for clearing whole-brain and other intact organs
Open accessAbstract
The development, refinement, and use of techniques that allow high-throughput imaging of whole brains with cellular resolution will help us understand the complex functions of the brain. Such techniques are crucial for the analysis of complete neuronal morphology—anatomical and functional—connectivity, and repeated molecular phenotyping. CLARITY is a recently introduced technique that produces structurally intact, yet optically transparent tissue, which may be labeled and imaged without sectioning. However, the utility of this technique depends on several procedural variables during the process in which the light-scattering lipids in a tissue are replaced by a transparent hydrogel matrix. Here, we systematically varied a number of factors (including temperature, hydrogel composition, and polymerization conditions) to provide an optimized, highly replicable CLARITY procedure for clearing mouse brains. We found that for these preparations optimal tissue clearing requires electrophoresis (and cannot be achieved with passive clearing alone) for 5 d with a combination of 37 and 55°C temperature. Although this protocol is optimized for brains, we also show that it can be used to clear and analyze a variety of organs. Brain or other tissue prepared using this protocol is suitable for high-throughput imaging with confocal or single-plane illumination microscopy.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
While it appears that we have labeled the major myelinated WM tracts of the mouse brain, there may be areas that are not fully captured due to incomplete antibody penetration or uneven labeling.
“First, while it appears that we have labeled the major myelinated WM tracts of the mouse brain, there may be areas that are not fully captured due to incomplete antibody penetration or uneven labeling, which have been reported by other groups using intact brain approaches (Epp et al., 2015; Li et al., 2015).”
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 Epp et al., 2015
The citing authors’ statement about which tracts they labeled is their own; the point attributed to Epp et al. is the reported risk of incomplete antibody penetration or uneven labeling in intact-brain approaches. The Materials and Methods section describes antibody incubation, but neither it nor the passages found by searching for penetration and uneven labeling report that problem (page unavailable). (LLM, conf=0.72)
Experimental — accuracy not yet measured
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
No references could be resolved yet.
Research works printed but not linked: 12
- Chung K, Wallace J, Kim S-Y, Kalyanasundaram S, Andalman AS, Davidson TJ, Mirzabekov JJ, Zalocusky KA, Mattis J, Denisin AK, Pak S, Bernstein H, Ramakrishnan C, Grosenick L, Gradinaru V, Deisseroth K (2013) Structural and molecular interrogation of intact biological systems. Nature 497: 332– 337. 10.1038/nature12107 23575631 PMC4092167 · DOI · Paper page
- Dodt H-U, Leischner U, Schierloh A, Jährling N, Mauch CP, Deininger K, Deussing JM, Eder M, Zieglgänsberger W, Becker K (2007) Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain. Nat Methods 4: 331– 336 10.1038/nmeth1036 17384643 · DOI
- Erturk A, Becker K, Jährling N, Mauch CP, Hojer CD, Egen JG, Hellal F, Bradke F, Sheng M, Dodt H-U (2012) Three-dimensional imaging of solvent-cleared organs using 3DISCO. Nat Protoc 7: 1983– 1995. 10.1038/nprot.2012.119 23060243 · DOI
- Guenthner CJ, Miyamichi K, Yang HH, Heller HC, Luo L (2013) Permanent genetic access to transiently active neurons via TRAP: targeted recombination in active populations. Neuron 78: 773– 784. 10.1016/j.neuron.2013.03.025 23764283 PMC3782391 · DOI · Paper page
- Hama H, Kurokawa H, Kawano H, Ando R, Shimogori T, Noda H, Fukami K, Sakaue-Sawano A, Miyawaki A (2011) Scale: a chemical approach for fluorescence imaging and reconstruction of transparent mouse brain. Nat Neurosci 14: 1481– 1488. 10.1038/nn.2928 21878933 · DOI
- Lyford GL, Yamagata K, Kaufmann WE, Barnes CA, Sanders LK, Copeland NG, Gilbert DJ, Jenkins NA, Lanahan AA, Worley PF (1995) Arc, a growth factor and activity-regulated gene, encodes a novel cytoskeleton-associated protein that is enriched in neuronal dendrites. Neuron 14: 433– 445. 7857651
- Oh SW, Harris JA, Ng L, Winslow B, Cain N, Mihalas S, Wang Q, Lau C, Kuan L, Henry AM, Mortrud MT, Ouellette B, Nguyen TN, Sorensen SA, Slaughterbeck CR, Wakeman W, Li Y, Feng D, Ho A, Nicholas E, et al. (2014) A mesoscale connectome of the mouse brain. Nature 508: 207– 214. 10.1038/nature13186 24695228 PMC5102064 · DOI · Paper page
- Susaki EA, Tainaka K, Perrin D, Kishino F, Tawara T, Watanabe TM, Yokoyama C, Onoe H, Eguchi M, Yamaguchi S, Abe T, Kiyonari H, Shimizu Y, Miyawaki A, Yokota H, Ueda HR (2014) Whole-brain imaging with single-cell resolution using chemical cocktails and computational analysis. Cell 157: 726– 739. 10.1016/j.cell.2014.03.042 24746791 · DOI
- Tomer R, Ye L, Hsueh B, Deisseroth K (2014) Advanced CLARITY for rapid and high-resolution imaging of intact tissues. Nat Protoc 9: 1682– 1697. 10.1038/nprot.2014.123 24945384 PMC4096681 · DOI · Paper page
- Vousden DA, Epp J, Okuno H, Nieman BJ, van Eede M, Dazai J, Ragan T, Bito H, Frankland PW, Lerch JP, Henkelman RM (2014) Whole-brain mapping of behaviourally induced neural activation in mice. Brain Struct Funct. Advance online publication. Retrieved March 9, 2015. doi: 10.1007/s00429-914-0774-0. 24760545 · DOI
- Yang B, Treweek JB, Kulkarni RP, Deverman BE, Chen C-K, Lubeck E, Shah S, Cai L, Gradinaru V (2014) Single-cell phenotyping within transparent intact tissue through whole-body clearing. Cell 158: 945– 958 10.1016/j.cell.2014.07.017 25088144 PMC4153367 · DOI
- Zhang M-D, Tortoriello G, Hsueh B, Tomer R, Ye L, Mitsios N, Borgius L, Grant G, Kiehn O, Watanabe M, Uhlén M, Mulder J, Deisseroth K, Harkany T, Häkfelt TGM (2014) Neuronal calcium-binding proteins 1/2 localize to dorsal root ganglia and excitatory spinal neurons and are regulated by nerve injury. Proc Natl Acad Sci USA 111: E1149– E1158. 10.1073/pnas.1402318111 24616509 PMC3970515 · DOI
Cited by
Sorted by citations
Chang, E. H., Argyelan, M., Aggarwal, M., Chandon, T.-S. S., Karlsgodt, K. H., Mori, S., & Malhotra, A. K. (2017) · NeuroImage · doi:10.1016/j.neuroimage.2016.11.068 · Cited by 186 · see citing works
Communication in Neural Circuits: Tools, Opportunities, and Challenges
Lerner, T. N., Ye, L., & Deisseroth, K. (2016) · Cell · doi:10.1016/j.cell.2016.02.027 · Cited by 159 · see citing works
Self-citationOnciul, R., Tataru, C.-I., Dumitru, A. V., Crivoi, C., Serban, M., Covache-Busuioc, R.-A., Radoi, M. P., & Toader, C. (2025) · Journal of Clinical Medicine · doi:10.3390/jcm14020550 · Cited by 113 · see citing works
Fini, J.-B., Mughal, B. B., Le Mével, S., Leemans, M., Lettmann, M., Spirhanzlova, P., Affaticati, P., Jenett, A., & Demeneix, B. A. (2017) · Scientific Reports · doi:10.1038/srep43786 · Cited by 73 · see citing works
- Authors
- Epp, J. R., Niibori, Y., (Liz) Hsiang, H.-L., Mercaldo, V., Deisseroth, K., Josselyn, S. A., & Frankland, P. W.
- Affiliations
- University of Toronto (CA)
- Stanford University (US)
- Corresponding author
- Josselyn, Sheena A.
- Frankland, Paul W.
- Venue
- eneuro
- Publisher
- Society for Neuroscience
- Published
- 2015-05
- Volume
- 2
- Issue
- 3
- Pages
- ENEURO.0022-15.2015
- ISSN
- 2373-2822 (ISSN-L)
- PMC
- PMC4586927
- OpenAlex
- W2180979457
- Cited by
- 133
- References
- 0
- Citations by year
- 2026: 4 · 2025: 8 · 2024: 8 · 2023: 4 · 2022: 9 · 2021: 13 · 2020: 15 · 2019: 20 · 2018: 19 · 2017: 17 · 2016: 13 · 2015: 2
- FWCI
- 10.33
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- cc-by
- Locations
- eNeuro (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- Funders
- Canadian Institutes of Health Research (MOP86762, MOP-74650)
- NARSAD young investigator grant
- 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, whole-brain imaging, hydrogel matrix, temperature optimization, polymerization conditions, mouse brain, single plane illumination microscopy, confocal microscopy, high-throughput imaging
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review