Explore the words cloud of the DESYNE project. It provides you a very rough idea of what is the project "DESYNE" about.
The following table provides information about the project.
Coordinator |
EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH
Organization address contact info |
Coordinator Country | Switzerland [CH] |
Total cost | 175˙419 € |
EC max contribution | 175˙419 € (100%) |
Programme |
1. H2020-EU.1.3.2. (Nurturing excellence by means of cross-border and cross-sector mobility) |
Code Call | H2020-MSCA-IF-2016 |
Funding Scheme | MSCA-IF-EF-ST |
Starting year | 2018 |
Duration (year-month-day) | from 2018-09-01 to 2020-08-31 |
Take a look of project's partnership.
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1 | EIDGENOESSISCHE TECHNISCHE HOCHSCHULE ZUERICH | CH (ZUERICH) | coordinator | 175˙419.00 |
Vocal learning in songbirds is a complex sensorimotor behaviour with many established parallels to human speech and language learning. Here we aim to resolve the neural ultra-structure of a key premotor area in the songbird brain, HVC (proper name). HVC plays a major role in song learning and takes part in both song perception and production. To understand the neural mechanisms of tutor song memorization and emergence of stereotyped adult song, we plan to map the networks of HVC’s afferent and efferent synaptic connections and to explore the experience dependence of these connections during tutor-based song learning. Electron microscopy (EM) is a valuable approach for detecting synapses in densely labeled brain tissues. However, one of the main challenges of EM is to identify topographic origin of synapses as well as pre- and postsynaptic cell types. I plan to address this problem by combining EM and light microscopy using correlative array tomography (CAT), a technique for visualizing projection neuron networks (projectomics). CAT involves multiple steps of labeling, staining, scanning, and correlating datasets, which is a feasible but time consuming workflow. As high-risk addition to my plan of using CAT, I will also apply expansion microscopy (ExM) to this projectomics problem. The ExM approach is based on physical expansion of fluorescently labeled biological tissue prior to light microscopic imaging. ExM holds the promise of extremely efficient imaging beyond Abbe’s diffraction limit, which may allow it to replace EM for certain applications such as visualizing synaptic connections. ExM is a promising yet unexplored new tool for projectomics research and avian neuroanatomy in general. We will use ExM, CAT, or a combination, to resolve central and peripheral networks involved in tutor based song learning. Our work will contribute to visualizing the synaptic changes underlying birdsong learning and will explore the feasibility of ExM for projectomics research.
year | authors and title | journal | last update |
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2019 |
Daniel Normen Düring, Mariana Diales Rocha, Falk Dittrich, Manfred Gahr, Richard Hans Robert Hahnloser Expansion Light Sheet Microscopy Resolves Subcellular Structures in Large Portions of the Songbird Brain published pages: all, ISSN: 1662-5129, DOI: 10.3389/fnana.2019.00002 |
Frontiers in Neuroanatomy 13 | 2019-08-30 |
2019 |
German Koestinger, Daniel During, Simone Rickauer, Vanessa Leite, Homare Yamahachi, Gabor Csucs, Richard HR Hahnloser Magnetic Ultrathin Tissue Sections for Ease of Light and Electron Microscopy published pages: 8-11, ISSN: , DOI: 10.1101/532549 |
bioRxiv | 2019-08-30 |
2019 |
Mariana Diales Rocha, Daniel Normen Düring, Philipp Bethge, Fabian F. Voigt, Staffan Hildebrand, Fritjof Helmchen, Alexander Pfeifer, Richard Hans Robert Hahnloser, Manfred Gahr Tissue Clearing and Light Sheet Microscopy: Imaging the Unsectioned Adult Zebra Finch Brain at Cellular Resolution published pages: all, ISSN: 1662-5129, DOI: 10.3389/fnana.2019.00013 |
Frontiers in Neuroanatomy 13 | 2019-08-30 |
2018 |
*D. N. DÃœRING1,2,3,4, M. ROCHA3, F. DITTRICH3, M. L. GAHR3, R. H. HAHNLOSER4,2; Combining light sheet and expansion microscopy for large scale, high resolution projectomics of the zebra finch brain published pages: , ISSN: , DOI: |
Society for Neuroscience Annual Meeting yearly | 2019-08-30 |
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