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

Authors :
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
Source :
Nature Communications; 3/27/2024, Vol. 15 Issue 1, p1-16, 16p
Publication Year :
2024

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. The demand to image large biological samples at high resolution requires improvement in current light-sheet microscopy tools. Here, the authors present an improved, benchtop mesoSPIM with a significantly increased field-of-view, improved resolution and improved throughput. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
20411723
Volume :
15
Issue :
1
Database :
Complementary Index
Journal :
Nature Communications
Publication Type :
Academic Journal
Accession number :
176299361
Full Text :
https://doi.org/10.1038/s41467-024-46770-2