| Literature DB >> 31896771 |
Hiroki R Ueda1,2, Ali Ertürk3,4,5, Kwanghun Chung6,7,8,9,10,11,12, Viviana Gradinaru13, Alain Chédotal14, Pavel Tomancak15,16, Philipp J Keller17.
Abstract
State-of-the-art tissue-clearing methods provide subcellular-level optical access to intact tissues from individual organs and even to some entire mammals. When combined with light-sheet microscopy and automated approaches to image analysis, existing tissue-clearing methods can speed up and may reduce the cost of conventional histology by several orders of magnitude. In addition, tissue-clearing chemistry allows whole-organ antibody labelling, which can be applied even to thick human tissues. By combining the most powerful labelling, clearing, imaging and data-analysis tools, scientists are extracting structural and functional cellular and subcellular information on complex mammalian bodies and large human specimens at an accelerated pace. The rapid generation of terabyte-scale imaging data furthermore creates a high demand for efficient computational approaches that tackle challenges in large-scale data analysis and management. In this Review, we discuss how tissue-clearing methods could provide an unbiased, system-level view of mammalian bodies and human specimens and discuss future opportunities for the use of these methods in human neuroscience.Entities:
Mesh:
Year: 2020 PMID: 31896771 PMCID: PMC8121164 DOI: 10.1038/s41583-019-0250-1
Source DB: PubMed Journal: Nat Rev Neurosci ISSN: 1471-003X Impact factor: 34.870