Optimisation of CUBIC tissue clearing technology based on perfusion methods

GONG Chuan-hui QIU Jia-yi YIN Ke-xin ZHANG Ji-ru HE Cheng YUAN Ye LÜ Guang-ming

Acta Anatomica Sinica ›› 2024, Vol. 55 ›› Issue (3) : 363-370.

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Acta Anatomica Sinica ›› 2024, Vol. 55 ›› Issue (3) : 363-370. DOI: 10.16098/j.issn.0529-1356.2024.03.016
Technology and Methodology

Optimisation of CUBIC tissue clearing technology based on perfusion methods

  • GONG  Chuan-hui1  QIU  Jia-yi2  YIN  Ke-xin2  ZHANG  Ji-ru2  HE  Cheng1  YUAN  Ye1  LÜ Guang-ming1,3*
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Abstract

Objective  In order to shorten the transparency time of clear, unobstructed brain imaging cocktails and computational analysis(CUBIC), improve the transparency efficiency, and explore the possibility of applying hydrophilic tissue transparency technique, this study was conducted to optimize the perfusion of CUBIC technique and compare it with four hydrophilic tissue clearing method  in terms of tissue transparency effect, transparency time, area change, volume change and adeno-associated virus (AAV) fluorescence retention. Methods  Brain, liver, spleen and kidney of 6 adult Institute of Cancer Research(ICR) mice were subjected to clearing treatment by SeeDB, FRUIT, ScaleS and CUBIC method, respectively. The area and gray value of the samples were measured by Image J 1.8.0, and the volume before and after transparency was measured by drainage method  to compare the transparency effect, time and size deformation of each group. Perfusion optimization of the CUBIC was performed by improving the perfusion rate with the optimal perfusion dose, each group of the experimental sample size was 6. Fluorescence preservation by different techniques was evaluated by injecting AAV in the motor cortex of 16 adult mice and taking the cervical spinal segments for transparency treatment after four weeks, and the fluorescence photographs were measured by Image J 1.8.0 to measure the mean fluorescent intensity.  Results The optimal perfusion rate and dose of CUBIC was 15 ml/min and 200 ml respectively. For transparency ability and speed, the perfusion CUBIC had the lowest mean gray value and took the shortest time, while CUBIC consumed the longest time, and SeeDB, FRUIT, and ScaleS did not show good transparency ability. In terms of area and volume changes, several techniques showed different degrees of expansion after transparency of tissues or organs. In terms of fluorescence retention, perfusion CUBIC showed the best retention of green fluorescent protein (GFP) fluorescence signal, followed by CUBIC, ScaleS, FRUIT, and SeeDB. Conclusion Perfusion CUBIC technique shows the best tissue transparency, the shortest transparency time, and the most AAV fluorescence retention compared with other techniques.

Key words

Tissue clearing / Optical clearing / Clear, unobstructed brain imaging cocktails and computational analysis / Hydrophilic reagent-based tissue clearing technology / Mouse


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GONG Chuan-hui QIU Jia-yi YIN Ke-xin ZHANG Ji-ru HE Cheng YUAN Ye LÜ Guang-ming. Optimisation of CUBIC tissue clearing technology based on perfusion methods[J]. Acta Anatomica Sinica. 2024, 55(3): 363-370 https://doi.org/10.16098/j.issn.0529-1356.2024.03.016

References

 [1] Agarwal N, Xu X, Gopi M. Geometry processing of conventionally produced mouse brain slice images [J]. J Neurosci Methods, 2018, 306: 45-56.
 [2] Li YZ, Shao ZhH, Li SG. Application of tissue and organ transparency technology in three-dimensional imaging studies [J]. Acta Anatomica Sinica, 2018, 49(3): 400-405.(in Chinese)
李瑛泽, 邵志华, 李思光. 组织器官透明化技术在三维成像研究中的应用 [J]. 解剖学报, 2018, 49(3): 400-405.
 [3] Erturk A, Becker K, Jahrling N, et al. Three-dimensional imaging of solvent-cleared organs using 3DISCO [J]. Nat Protoc, 2012, 7(11): 1983-1995.
 [4] Ke MT, Fujimoto S, Imai T. SeeDB: a simple and morphology-preserving optical clearing agent for neuronal circuit reconstruction [J]. Nat Neurosci, 2013, 16(8): 1154-1161.
 [5] Matryba P, Bozycki L, Pawlowska M, et al. Optimized perfusion-based CUBIC protocol for the efficient whole-body clearing and imaging of rat organs [J]. J Biophotonics, 2018, 11(5): e201700248.
 [6] Chung K, Deisseroth K. CLARITY for mapping the nervous system [J]. Nat Methods, 2013, 10(6): 508-513.
 [7] Liu L, Xia X, Xiang F, et al. F-CUBIC: a rapid optical clearing method optimized by quantitative evaluation [J]. Biomed Opt Express, 2022, 13(1): 237-251.
 [8] Tainaka K, Murakami TC, Susaki EA, et al. Chemical Landscape for Tissue Clearing Based on Hydrophilic Reagents [J]. Cell Rep, 2018, 24(8): 2196-2210.
 [9] Spalteholz W. Über das Durchsichtigmachen von Menschlichen und Tierischen Präparaten und Seine Theoretischen Bedingungen [M]. 2. aufl. Leipzig: S. Hirzel, 1914.
[10] Fretaud M, Riviere L, Job E, et al. High-resolution 3D imaging of whole organ after clearing: taking a new look at the zebrafish testis [J]. Sci Rep, 2017,7:43012.
 [11] Treweek JB, Chan KY, Flytzanis NC, et al. Whole-body tissue stabilization and selective extractions via tissue-hydrogel hybrids for high-resolution intact circuit mapping and phenotyping [J]. Nat Protoc, 2015, 10(11): 1860-1896.
 [12] Cheng X, Sadegh S, Zilpelwar S, et al. Comparing the fundamental imaging depth limit of two-photon, three-photon, and non-degenerate two-photon microscopy [J]. Opt Lett, 2020, 45(10): 2934-2937.
 [13] Theer P, Denk W. On the fundamental imaging-depth limit in two-photon microscopy [J]. J Opt Soc Am A Opt Image Sci Vis, 2006, 23(12): 3139-3149.
 [14] Theer P, Hasan M T, Denk W. Two-photon imaging to a depth of 1000 microm in living brains by use of a Ti:Al2O3 regenerative amplifier [J]. Opt Lett, 2003, 28(12): 1022-1024.

 [15] Dodt HU, Leischner U, Schierloh A, et al. Ultramicroscopy: three-dimensional visualization of neuronal networks in the whole mouse brain [J]. Nat Methods, 2007, 4(4): 331-336.

 [16] Corsetti S, Gunn-Moore F, Dholakia K. Light sheet fluorescence microscopy for neuroscience [J]. J Neurosci Methods, 2019, 319:16-27.

 [17] Huisken J, Swoger J, Del Bene F, et al. Optical sectioning deep inside live embryos by selective plane illumination microscopy [J]. Science, 2004, 305(5686): 1007-1009.
   [18] Keller PJ, Schmidt AD, Wittbrodt J, et al. Reconstruction of zebrafish early embryonic development by scanned light sheet microscopy [J]. Science, 2008, 322(5904): 1065-1069.
 [19] Ahrens MB, Orger MB, Robson DN, et al. Whole-brain functional imaging at cellular resolution using light-sheet microscopy [J]. Nat Methods, 2013, 10(5): 413-420.
 [20] Boothe T, Hilbert L, Heide M, et al. A tunable refractive index matching medium for live imaging cells, tissues and model organisms [J]. Elife, 2017, 6: e27240.
 [21] Wang X, Pang Y, Ku G, et al. Three-dimensional laser-induced photoacoustic tomography of mouse brain with the skin and skull intact [J]. Opt Lett, 2003, 28(19): 1739-1741.
 [22] Li L, Xia J, Li G, et al. Label-free photoacoustic tomography of whole mouse brain structures ex vivo[J]. Neurophotonics, 2016, 3(3): 035001.
 [23] Zhang P, Li L, Lin L, et al. High-resolution deep functional imaging of the whole mouse brain by photoacoustic computed tomography in vivo[J]. J Biophotonics, 2018, 11(1): 101002/jbio.201700024.
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