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The Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for large cleared samples.
Vladimirov, Nikita; Voigt, Fabian F; Naert, Thomas; Araujo, Gabriela R; Cai, Ruiyao; Reuss, Anna Maria; Zhao, Shan; Schmid, Patricia; Hildebrand, Sven; Schaettin, Martina; Groos, Dominik; Mateos, José María; Bethge, Philipp; Yamamoto, Taiyo; Aerne, Valentino; Roebroeck, Alard; Ertürk, Ali; Aguzzi, Adriano; Ziegler, Urs; Stoeckli, Esther; Baudis, Laura; Lienkamp, Soeren S; Helmchen, Fritjof.
Affiliation
  • Vladimirov N; Brain Research Institute, University of Zurich, Zurich, Switzerland.
  • Voigt FF; University Research Priority Program (URPP) Adaptive Brain Circuits in Development and Learning (AdaBD), University of Zurich, Zurich, Switzerland.
  • Naert T; Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland.
  • Araujo GR; Brain Research Institute, University of Zurich, Zurich, Switzerland.
  • Cai R; Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland.
  • Reuss AM; Present address: Department of Molecular and Cellular Biology, Harvard University, Cambridge, MA, USA.
  • Zhao S; Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland.
  • Schmid P; Department of Physics, University of Zurich, Zurich, Switzerland.
  • Hildebrand S; Present address: Department of Biology, Stanford University, Stanford, CA, USA.
  • Schaettin M; Institute for Tissue Engineering and Regenerative Medicine (iTERM), Helmholtz Center Munich, Neuherberg, Germany.
  • Groos D; Institute for Stroke and Dementia Research, Klinikum der Universität München, Ludwig-Maximilians University Munich, Munich, German.
  • Mateos JM; Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland.
  • Bethge P; Institute of Neuropathology, University Hospital Zurich, Zurich, Switzerland.
  • Yamamoto T; Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland.
  • Aerne V; Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland.
  • Roebroeck A; Department of Cognitive Neuroscience, Faculty of Psychology & Neuroscience, Maastricht University, Maastricht, the Netherlands.
  • Ertürk A; Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland.
  • Aguzzi A; Department of Molecular Life Sciences, University of Zurich, Zurich, Switzerland.
  • Ziegler U; Brain Research Institute, University of Zurich, Zurich, Switzerland.
  • Stoeckli E; Center for Microscopy and Image Analysis (ZMB), University of Zurich, Zurich, Switzerland.
  • Baudis L; Brain Research Institute, University of Zurich, Zurich, Switzerland.
  • Lienkamp SS; Neuroscience Center Zurich, University of Zurich, Zurich, Switzerland.
  • Helmchen F; Institute of Anatomy and Zurich Kidney Center (ZKC), University of Zurich, Zurich, Switzerland.
bioRxiv ; 2023 Dec 12.
Article in En | MEDLINE | ID: mdl-38168219
ABSTRACT
In 2015, we launched the mesoSPIM initiative (www.mesospim.org), an open-source project for making light-sheet microscopy of large cleared tissues more accessible. Meanwhile, the demand for imaging larger samples at higher speed and resolution has increased, requiring major improvements in the capabilities of light-sheet microscopy. Here, we introduce the next-generation mesoSPIM ("Benchtop") with significantly increased field of view, improved resolution, higher throughput, more affordable cost and simpler assembly compared to the original version. We developed a new method for testing objectives, enabling us to select detection objectives optimal for light-sheet imaging with large-sensor sCMOS cameras. The new mesoSPIM achieves high spatial resolution (1.5 µm laterally, 3.3 µm axially) across the entire field of view, a magnification up to 20x, and supports sample sizes ranging from sub-mm up to several centimetres, while being compatible with multiple clearing techniques. The new microscope serves a broad range of applications in neuroscience, developmental biology, and even physics.

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2023 Document type: Article Affiliation country: Suiza

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: BioRxiv Year: 2023 Document type: Article Affiliation country: Suiza