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Color-neutral and reversible tissue transparency enables longitudinal deep-tissue imaging in live mice
Carl H C Keck1,2, Elizabeth L Schmidt1,2,3, Richard H Roth4
1Department of Materials Science and Engineering, Stanford University; Stanford, CA, USA.
Biorxiv : the Preprint Server for Biology
|March 10, 2025
Summary
Researchers developed a color-neutral method for deep tissue optical imaging. This technique uses ultraviolet-absorbing molecules to achieve reversible tissue transparency, enabling clear visualization of biological processes in live mice.
Area of Science:
- Biomedical Optics
- In Vivo Imaging
- Tissue Engineering
Background:
- Light scattering in biological tissues impedes deep in vivo optical imaging.
- Previous methods achieved red spectrum transparency but were limited.
- A need exists for broader spectrum optical transparency in live tissues.
Purpose of the Study:
- To develop a color-neutral method for achieving optical transparency across the visible spectrum.
- To enable deep tissue imaging of commonly used fluorophores.
- To facilitate longitudinal imaging of the live mouse brain.
Main Methods:
- Utilized molecules with strong ultraviolet absorption and sharp edges into the visible spectrum.
- Administered these molecules to live mice to induce reversible tissue transparency.
- Performed structural and functional imaging of the mouse brain through intact scalp and skull.
Main Results:
- Achieved optical transparency across the entire visible spectrum, including green and yellow wavelengths.
- Enabled clear imaging of yellow fluorescent protein and GCaMP in the mouse brain.
- Demonstrated longitudinal imaging of the same brain regions over multiple days in awake mice.
- Histological and toxicology studies showed minimal skin or systemic damage.
Conclusions:
- The color-neutral, reversible tissue transparency method significantly advances noninvasive deep-tissue optical imaging.
- This technique allows for long-term visualization of cellular structures and dynamic activity.
- Opens new avenues for high spatiotemporal resolution chronic tracking in vivo.

