@article {65264, title = {Tissue clearing and its applications in~neuroscience.}, journal = {Nature Reviews Neuroscience}, volume = {21}, year = {2020}, month = {2020 Jan 02}, pages = {61-79}, 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.

}, issn = {1471-0048}, doi = {10.1038/s41583-019-0250-1}, author = {Ueda, Hiroki R and Ert{\"u}rk, Ali and Chung, Kwanghun and Gradinaru, Viviana and Ch{\'e}dotal, Alain and Tomancak, Pavel and Keller, Philipp J} } @article {65599, title = {Whole-brain profiling of cells and circuits in mammals by tissue clearing and light-sheet microscopy.}, journal = {Neuron}, volume = {106}, year = {2020}, month = {2020 May 06}, pages = {369-387}, abstract = {

Tissue clearing and light-sheet microscopy have a 100-year-plus history, yet these fields have been combined only recently to facilitate novel experiments and measurements in neuroscience. Since tissue-clearing methods were first combined with modernized light-sheet microscopy a decade ago, the performance of both technologies has rapidly improved, broadening their applications. Here, we review the state of the art of tissue-clearing methods and light-sheet microscopy and discuss applications of these techniques in profiling cells and circuits in mice. We examine outstanding challenges and future opportunities for expanding these techniques to achieve brain-wide profiling of cells and circuits in primates and humans. Such integration will help provide a systems-level understanding of the physiology and pathology of our central nervous system.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.03.004}, author = {Ueda, Hiroki R and Dodt, Hans-Ulrich and Osten, Pavel and Economo, Michael N and Chandrashekar, Jayaram and Keller, Philipp J} } @article {65633, title = {Whole-brain profiling of cells and circuits in mammals by tissue clearing and light-sheet microscopy.}, journal = {Neuron}, volume = {106}, year = {2020}, month = {2020 May 06}, pages = {369-387}, abstract = {

Tissue clearing and light-sheet microscopy have a 100-year-plus history, yet these fields have been combined only recently to facilitate novel experiments and measurements in neuroscience. Since tissue-clearing methods were first combined with modernized light-sheet microscopy a decade ago, the performance of both technologies has rapidly improved, broadening their applications. Here, we review the state of the art of tissue-clearing methods and light-sheet microscopy and discuss applications of these techniques in profiling cells and circuits in mice. We examine outstanding challenges and future opportunities for expanding these techniques to achieve brain-wide profiling of cells and circuits in primates and humans. Such integration will help provide a systems-level understanding of the physiology and pathology of our central nervous system.

}, issn = {1097-4199}, doi = {10.1016/j.neuron.2020.03.004}, author = {Ueda, Hiroki R and Dodt, Hans-Ulrich and Osten, Pavel and Economo, Michael N and Chandrashekar, Jayaram and Keller, Philipp J} }