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 StoeckliLaura Baudis, Soeren S Lienkamp, Fritjof Helmchen*

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

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.
Original languageEnglish
Article number2679
Number of pages16
JournalNature Communications
Volume15
Issue number1
DOIs
Publication statusPublished - 27 Mar 2024

Keywords

  • Microscopy/methods
  • Neurosciences

Fingerprint

Dive into the research topics of 'Benchtop mesoSPIM: a next-generation open-source light-sheet microscope for cleared samples'. Together they form a unique fingerprint.

Cite this