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

Nikita Vladimirov (), Fabian F. Voigt, Thomas Naert, Gabriela R. Araujo, Ruiyao Cai, Anna Maria Reuss, Shan Zhao, Patricia Schmid, Sven Hildebrand, Martina Schaettin, Dominik Groos, José María Mateos, Philipp Bethge, Taiyo Yamamoto, Valentino Aerne, Alard Roebroeck, Ali Ertürk, Adriano Aguzzi, Urs Ziegler, Esther Stoeckli, Laura Baudis, Soeren S. Lienkamp and Fritjof Helmchen ()
Additional contact information
Nikita Vladimirov: University of Zurich
Fabian F. Voigt: University of Zurich
Thomas Naert: University of Zurich
Gabriela R. Araujo: University of Zurich
Ruiyao Cai: Helmholtz Center Munich
Anna Maria Reuss: University of Zurich
Shan Zhao: University of Zurich
Patricia Schmid: University of Zurich
Sven Hildebrand: Maastricht University
Martina Schaettin: University of Zurich
Dominik Groos: University of Zurich
José María Mateos: University of Zurich
Philipp Bethge: University of Zurich
Taiyo Yamamoto: University of Zurich
Valentino Aerne: University of Zurich
Alard Roebroeck: Maastricht University
Ali Ertürk: Helmholtz Center Munich
Adriano Aguzzi: University of Zurich
Urs Ziegler: University of Zurich
Esther Stoeckli: University of Zurich
Laura Baudis: University of Zurich
Soeren S. Lienkamp: University of Zurich
Fritjof Helmchen: University of Zurich

Nature Communications, 2024, vol. 15, issue 1, 1-16

Abstract: Abstract 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.

Date: 2024
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Citations: View citations in EconPapers (2)

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DOI: 10.1038/s41467-024-46770-2

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