| Literature DB >> 35545715 |
Adam K Glaser1,2, Kevin W Bishop3,4, Lindsey A Barner3, Etsuo A Susaki5,6, Shimpei I Kubota7,8, Gan Gao3, Robert B Serafin3, Pooja Balaram9, Emily Turschak9, Philip R Nicovich10, Hoyin Lai11, Luciano A G Lucas11, Yating Yi12, Eva K Nichols13, Hongyi Huang3, Nicholas P Reder3,14, Jasmine J Wilson15, Ramya Sivakumar15, Elya Shamskhou15, Caleb R Stoltzfus15, Xing Wei16, Andrew K Hempton17, Marko Pende18, Prayag Murawala18,19, Hans-Ulrich Dodt20,21, Takato Imaizumi17, Jay Shendure13,22,23,24, Brian J Beliveau13,24, Michael Y Gerner15, Li Xin16, Hu Zhao12, Lawrence D True14, R Clay Reid9, Jayaram Chandrashekar25,26, Hiroki R Ueda6,27, Karel Svoboda25, Jonathan T C Liu28,29,30.
Abstract
Light-sheet microscopy has emerged as the preferred means for high-throughput volumetric imaging of cleared tissues. However, there is a need for a flexible system that can address imaging applications with varied requirements in terms of resolution, sample size, tissue-clearing protocol, and transparent sample-holder material. Here, we present a 'hybrid' system that combines a unique non-orthogonal dual-objective and conventional (orthogonal) open-top light-sheet (OTLS) architecture for versatile multi-scale volumetric imaging. We demonstrate efficient screening and targeted sub-micrometer imaging of sparse axons within an intact, cleared mouse brain. The same system enables high-throughput automated imaging of multiple specimens, as spotlighted by a quantitative multi-scale analysis of brain metastases. Compared with existing academic and commercial light-sheet microscopy systems, our hybrid OTLS system provides a unique combination of versatility and performance necessary to satisfy the diverse requirements of a growing number of cleared-tissue imaging applications.Entities:
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Year: 2022 PMID： 35545715 PMCID： PMC9214839 DOI： 10.1038/s41592-022-01468-5
Source DB: PubMed Journal: Nat Methods ISSN： 1548-7091 Impact factor: 47.990