Color-neutral and reversible tissue transparency enables longitudinal deep-tissue imaging in live mice.

颜色中性且可逆的组织透明度使得对活体小鼠进行纵向深层组织成像成为可能

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作者:Keck Carl H C, Schmidt Elizabeth L, Roth Richard H, Floyd Brendan M, Tsai Andy P, Garcia Hassler B, Cui Miao, Chen Xiaoyu, Wang Chonghe, Park Andrew, Zhao Su, Liao Pinyu A, Casey Kerriann M, Reineking Wencke, Cai Sa, Zhang Ling-Yi, Yang Qianru, Yuan Lei, Baghdasaryan Ani, Lopez Eduardo R, Cooper Lauren, Cui Han, Esquivel Daniel, Brinson Kenneth, Chen Xiaoke, Wyss-Coray Tony, Coleman Todd P, Brongersma Mark L, Bertozzi Carolyn R, Wang Gordon X, Ding Jun B, Hong Guosong
Light scattering in biological tissue presents a significant challenge for deep in vivo imaging. Our previous work demonstrated the ability to achieve optical transparency in live mice using intensely absorbing dye molecules, which created transparency in the red spectrum while blocking shorter-wavelength photons. In this paper, we extend this capability to achieve optical transparency across the entire visible spectrum by employing molecules with strong absorption in the ultraviolet spectrum and sharp absorption edges that rapidly decline upon entering the visible spectrum. This new color-neutral and reversible tissue transparency method enables optical transparency for imaging commonly used fluorophores in the green and yellow spectra. Notably, this approach facilitates tissue transparency for structural and functional imaging of the live mouse brain labeled with yellow fluorescent protein and GCaMP through the scalp and skull. We show that this method enables longitudinal imaging of the same brain regions in awake mice over multiple days during development. Histological analyses of the skin and systemic toxicology studies indicate minimal acute or chronic damage to the skin or body using this approach. This color-neutral and reversible tissue transparency technique opens new opportunities for noninvasive deep-tissue optical imaging, enabling long-term visualization of cellular structures and dynamic activity with high spatiotemporal resolution and chronic tracking capabilities.

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