Clearing for Deep Tissue Imaging.
Clearing for Deep Tissue Imaging.
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DOI：
10.1002/cpcy.38
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发表时间：
2018-10
影响因子：
--
通讯作者：
Watson AM
中科院分区：
文献类型：
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作者：
Muntifering M;Castranova D;Gibson GA;Meyer E;Kofron M;Watson AM
组织清除提供了一个很好的替代物理薄切片，往往需要与光学成像。通常，切片很薄，50-100μm，以允许光的传输和回收。组织清除首先通过去除光吸收和光散射分子，然后通过将组织的折射率与组织在其中成像的溶液相匹配来减少光递送和恢复的限制。当清理工作做得很好时，长工作距离的光学器件可以窥视许多毫米深。这种可见性使得能够在不需要切片的情况下询问整个组织甚至动物。研究人员可以在三维环境中研究生物学过程，识别大量组织中的罕见事件，追踪细胞和远距离的细胞间相互作用。在这里，我们描述了四种流行的清算协议，这些协议将与跨生物学科的各种场景相关：CUBIC，CITY，3DISCO和SeeDB。
Tissue clearing offers an excellent alternative to physical thin-sectioning that is often required with optical imaging. Generally, sections are thin, 50–100μm, to allow for the delivery and recovery of light. Tissue clearing reduces the limitations of light delivery and recovery, first by removing light-absorbing and light-scattering molecules, and then by matching the refractive index of the tissue with a solution in which the tissue is imaged. When clearing is done well, long-working distance optics can peer many millimeters deep. Such visibility enables the interrogation of whole tissues and even animals without the need to section. Researchers can study a biological process in the context of its three-dimensional environment, identify rare events in large volumes of tissues and trace cells and cell-cell interactions over large distances. Here, we describe four popular clearing protocols that will be relevant to a wide variety of scenarios across biologic disciplines: CUBIC, CLARITY, 3DISCO, and SeeDB.