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Vladimirov, N.* ; Voigt, F.F.* ; Naert, T.* ; Araujo, G.R.* ; Cai, R. ; Reuss, A.M.* ; Zhao, S.* ; Schmid, P.* ; Hildebrand, S.* ; Schaettin, M.* ; Groos, D.* ; Mateos, J.M.* ; Bethge, P.* ; Yamamoto, T.N.* ; Aerne, V.* ; Roebroeck, A.* ; Ertürk, A. ; Aguzzi, A.* ; Ziegler, U.* ; Stoeckli, E.* ; Baudis, L.* ; Lienkamp, S.S.* ; Helmchen, F.*

Benchtop mesoSPIM: A next-generation open-source light-sheet microscope for cleared samples.

Nat. Commun. 15:2679 (2024)
Verlagsversion DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
In 2015, we launched the mesoSPIM initiative, 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 such microscopes. Here, we introduce the next-generation mesoSPIM ("Benchtop") with a significantly increased field of view, improved resolution, higher throughput, more affordable cost, and simpler assembly compared to the original version. We develop an optical method for testing detection objectives that enables us to select objectives optimal for light-sheet imaging with large-sensor cameras. The improved mesoSPIM achieves high spatial resolution (1.5 µm laterally, 3.3 µm axially) across the entire field of view, magnification up to 20×, and supports sample sizes ranging from sub-mm up to several centimeters while being compatible with multiple clearing techniques. The microscope serves a broad range of applications in neuroscience, developmental biology, pathology, and even physics.
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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Brain; Visualization; Tissues; Scale
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 2041-1723
e-ISSN 2041-1723
Zeitschrift Nature Communications
Quellenangaben Band: 15, Heft: 1, Seiten: , Artikelnummer: 2679 Supplement: ,
Verlag Nature Publishing Group
Verlagsort London
Begutachtungsstatus Peer reviewed
Institut(e) Institute for Tissue Engineering and Regenerative Medicine (ITERM)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-505800-001
Förderungen US Brain Initiative
Sascha Weidner from the Additive Manufacturing Facility (AMF) of the University of Zurich
University Research Priority Program (URPP) "Adaptive Brain Circuits in Development and Learning (AdaBD)" of the University of Zurich
HFSP fellowship
Dutch Science Foundation VIDI Grant
ERC Starting Grant
Swiss National Science Foundation (SNF)
ERC
European Union
Brain Research Institute for mechanical prototyping, Fabian Eggiman
DOI 10.1038/s41467-024-46770-2
WOS ID 001195542300001
Scopus ID 85188906682
PubMed ID 38538644
Erfassungsdatum 2024-04-25
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