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Towards a complete pipeline for fast tissue volume imaging: multiple scales, multiple modalities and many applications| title | Towards a complete pipeline for fast tissue volume imaging: multiple scales, multiple modalities and many applications |
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| start_date | 2024/04/04 |
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| schedule | 12h-14h |
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| online | no |
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| location_info | Vinay meeting room & on Zoom |
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| summary | The anatomical characterization of biological structures like neuronal, vascular or lymphatic networks is synonymous with imaging thick samples or intact tissues. Recent years have seen a proliferate development of new volume-imaging techniques, hand-in-hand with tissue clearing and image-segmentation, -rendering and -quantification approaches. Numerous clearing techniques have been developed, each with their individual strengths and limitations. All have in common that they are slow, with multi-step protocols often lasting days or even weeks for larger samples.
Here, we present a universal, non-toxic reagent kit, based on a natural product, for tissue clearing, as well as optional demineralization and depigmentation steps. We demonstrate clearing within one hour and in a single step a great variety of organisms, soft tissues, including lipid-rich tissue. Hard tissue (teeth, bone and cartilage), but also insects, plants and fishes are transparent within a few hours. Our technique can be geared to preserve tissue autofluorescence, permitting large-scale reconstructions of unlabelled tissue, or the autofluorescence-assisted contextual imaging in immunolabelled or fluorescent-protein expressing samples. The rapidity and excellent performance of our approach in terms of transparency, volume- and fluorophore-preservation will lower the barrier to clearing and 3-D imaging experiments for non-specialist researchers, and core-facility personnel, as well as for clinicians, and it allows their integration in functional, anatomical or medical imaging protocols with unprecedented ease and speed.
In my talk I will present clearing as well as volume imaging data, and link these efforts to live-cell imaging data using different recent efforts undertaken in our laboratory. |
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| responsibles | Riehle |
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Workflow history| from state (1) | to state | comment | date |
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| submitted | published | | 2024/04/11 11:12 UTC |
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