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DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy

Biology

DaXi—high-resolution, large imaging volume and multi-view single-objective light-sheet microscopy

B. Yang, M. Lange, et al.

Discover DaXi, a groundbreaking light-sheet microscope that combines the ease of traditional microscopy with advanced imaging capabilities. Developed by a team of researchers including Bin Yang and others, DaXi offers high-resolution imaging and fast volumetric capture, ideal for studying complex biological systems. Experience the future of microscopy with unparalleled detail and efficiency.

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~3 min • Beginner • English
Abstract
The promise of single-objective light-sheet microscopy is to combine the convenience of standard single-objective microscopes with the speed, coverage, resolution and gentleness of light-sheet microscopes. We present DaXi, a single-objective light-sheet microscope design based on oblique plane illumination that achieves: (1) a wider field of view and high-resolution imaging via a custom remote focusing objective; (2) fast volumetric imaging over larger volumes without compromising image quality or necessitating tiled acquisition; (3) fuller image coverage for large samples via multi-view imaging and (4) higher throughput multi-well imaging via remote coverslip placement. Our instrument achieves a resolution of 450 nm laterally and 2 µm axially over an imaging volume of 3,000 × 800 × 300 µm. We demonstrate the speed, field of view, resolution and versatility of our instrument by imaging various systems, including Drosophila egg chamber development, zebrafish whole-brain activity and zebrafish embryonic development – up to nine embryos at a time.
Publisher
Nature Methods
Published On
Apr 21, 2022
Authors
Bin Yang, Merlin Lange, Alfred Millett-Sikking, Xiang Zhao, Jordão Bragantini, Shruthi Vijay Kumar, Mason Kamb, Rafael Gómez-Sjöberg, Ahmet Can Solak, Wanpeng Wang, Hirofumi Kobayashi, Matthew N. McCarroll, Lachlan W. Whitehead, Reto P. Fiolka, Thomas B. Kornberg, Andrew G. York, Loic A. Royer
Tags
light-sheet microscopy
high-resolution imaging
volumetric imaging
biological systems
Drosophila
zebrafish
multi-view imaging
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