@article{5c9709852b4c41a4b83c5ad9b393a413,
title = "Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for cleared samples",
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.",
keywords = "Microscopy/methods, Neurosciences",
author = "Nikita Vladimirov and Voigt, {Fabian F} and Thomas Naert and Araujo, {Gabriela R} and Ruiyao Cai and Reuss, {Anna Maria} and Shan Zhao and Patricia Schmid and Sven Hildebrand and Martina Schaettin and Dominik Groos and Mateos, {Jos{\'e} Mar{\'i}a} and Philipp Bethge and Taiyo Yamamoto and Valentino Aerne and Alard Roebroeck and Ali Ert{\"u}rk and Adriano Aguzzi and Urs Ziegler and Esther Stoeckli and Laura Baudis and Lienkamp, {Soeren S} and Fritjof Helmchen",
year = "2024",
month = mar,
day = "27",
doi = "10.1038/s41467-024-46770-2",
language = "English",
volume = "15",
journal = "Nature Communications",
issn = "2041-1723",
publisher = "Nature Publishing Group",
number = "1",
}