0 Datasets
0 Files
Get instant academic access to this publication’s datasets.
Yes. After verification, you can browse and download datasets at no cost. Some premium assets may require author approval.
Files are stored on encrypted storage. Access is restricted to verified users and all downloads are logged.
Yes, message the author after sign-up to request supplementary files or replication code.
Join 50,000+ researchers worldwide. Get instant access to peer-reviewed datasets, advanced analytics, and global collaboration tools.
✓ Immediate verification • ✓ Free institutional access • ✓ Global collaborationJoin our academic network to download verified datasets and collaborate with researchers worldwide.
Get Free AccessHerein, we report a novel fluorogenic visualization method for mouse brain tissues by making use of a Ag+-specific aggregation-induced emission (AIE) strategy after silver impregnation. This novel fluorogenic silver-AIE method surpasses the chromogenic detection used by many conventional silver staining protocols, which have historically made revolutionary contributions to neuroanatomy. This fluorescent silver-based stain allows for analysis of images acquired using wide-field, confocal, SIMs, or light-sheet fluorescence microscopy. We validated the sensitivity, specificity, and versatility of the silver-AIE stain as compared to conventional silver stains and other neuron-specific ones. The silver-AIE stain is demonstrated to be highly compatible with immunofluorescence co-staining in paraffin sections and can be applied to hydrogel-based cleared tissue by the passive CLARITY method for image analysis of large tissue slices of 300 μm thick in this study. From this fluorogenic strategy, it is possible for vast types of classic silver staining methods to be modified and re-vitalized.
Sheng Xie, Alex Y. H. Wong, Chuen Kam, Ola Hermanson, Nancy Y. Ip, Ben Zhong Tang, Sijie Chen (2021). Fluorescent Silver-AIE Visualization of Neurons and Fibres in the Cleared Brain. , DOI: https://doi.org/10.26434/chemrxiv-2021-707mm.
Datasets shared by verified academics with rich metadata and previews.
Authors choose access levels; downloads are logged for transparency.
Students and faculty get instant access after verification.
Type
Preprint
Year
2021
Authors
7
Datasets
0
Total Files
0
Language
en
DOI
https://doi.org/10.26434/chemrxiv-2021-707mm
Access datasets from 50,000+ researchers worldwide with institutional verification.
Get Free Access