A high-resolution, easy-to-build light-sheet microscope for subcellular imaging

Although several open-source, easy-to-assemble light-sheet microscope platforms already exist—such as mesoSPIM, OpenSPIM, and OpenSpin—they are optimized for imaging large specimens and lack the resolution required to visualize subcellular features, such as organelles or cytoskeletal architectures. In contrast, lattice light-sheet microscopy (LLSM) achieves the resolution necessary to resolve such fine structures but, in its open-source implementation, can be alignment- and maintenance-intensive, often requiring specialist expertise. To address this gap, we developed Altair light-sheet fluorescence microscopy (LSFM), a high-resolution, open-source, sample-scanning light-sheet microscope specifically designed for subcellular imaging. By optimizing the optical pathway in silico, we created a custom baseplate that greatly simplifies alignment and assembly. The system integrates streamlined optoelectronics and optomechanics with seamless operation through our open-source software, navigate . Altair-LSFM achieves lateral and axial resolutions of approximately 235 and 350 nm, respectively, across a 266 µm field of view after deconvolution. We validate the system’s capabilities by imaging sub-diffraction fluorescent nanospheres and visualizing fine structural details in mammalian cells, including microtubules, actin filaments, nuclei, and Golgi apparatus. We further demonstrate its live-cell imaging capabilities by visualizing microtubules and vimentin intermediate filaments in actively migrating cells.

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Publication Details

Journal
eLife
Published
2026-02-05
DOI
https://doi.org/10.7554/elife.106910.3
Primary Topic
Advanced Fluorescence Microscopy Techniques
Type
article
Field-Weighted Citation Impact
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article

A high-resolution, easy-to-build light-sheet microscope for subcellular imaging

John Haug, Hsin-Yu Lin, Kevin M Dean, Seweryn Gałecki et al.
eLife
Advanced Fluorescence Microscopy Techniques
article

A high-resolution, easy-to-build light-sheet microscope for subcellular imaging

John Haug, Hsin-Yu Lin, Kevin M Dean, Seweryn Gałecki, Xiaoding Wang
article en

Abstract

Although several open-source, easy-to-assemble light-sheet microscope platforms already exist—such as mesoSPIM, OpenSPIM, and OpenSpin—they are optimized for imaging large specimens and lack the resolution required to visualize subcellular features, such as organelles or cytoskeletal architectures. In contrast, lattice light-sheet microscopy (LLSM) achieves the resolution necessary to resolve such fine structures but, in its open-source implementation, can be alignment- and maintenance-intensive, often requiring specialist expertise. To address this gap, we developed Altair light-sheet fluorescence microscopy (LSFM), a high-resolution, open-source, sample-scanning light-sheet microscope specifically designed for subcellular imaging. By optimizing the optical pathway in silico, we created a custom baseplate that greatly simplifies alignment and assembly. The system integrates streamlined optoelectronics and optomechanics with seamless operation through our open-source software, navigate . Altair-LSFM achieves lateral and axial resolutions of approximately 235 and 350 nm, respectively, across a 266 µm field of view after deconvolution. We validate the system’s capabilities by imaging sub-diffraction fluorescent nanospheres and visualizing fine structural details in mammalian cells, including microtubules, actin filaments, nuclei, and Golgi apparatus. We further demonstrate its live-cell imaging capabilities by visualizing microtubules and vimentin intermediate filaments in actively migrating cells.

eLifeVol. 14
Silesian University of Technology (PL), Southwestern Medical Center (US), Center for Systems Biology (US), Southwestern Medical Center (US), The University of Texas Southwestern Medical Center (US)
Openalex Percentile: Top 68%
Advanced Fluorescence Microscopy Techniques
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A high-resolution, easy-to-build light-sheet microscope for subcellular imaging — John Haug, Hsin-Yu Lin, et al. · eLife (2026) | TGRS Research Map | TGRS