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Published on: August 15, 2014
Hybrid solid-liquid optics enable scalable, high-resolution light-sheet microscopy across diverse immersion media
Cheng Gong1,2, Pauline Affatato1, Matt Fay3
1Department of Biological Sciences, Columbia University, New York, NY, USA.
Nature Biotechnology
|June 9, 2026
Summary
Researchers developed hybrid solid-liquid optics (HySIL) for advanced 3D imaging. This scalable, affordable technology enhances light-sheet microscopy resolution for diverse biological samples.
Area of Science:
- Biomedical Imaging
- Optical Engineering
- Cell Biology
Background:
- Data-driven biological discovery requires scalable, affordable 3D imaging from subcellular to organ scales.
- Current high-resolution imaging methods (tissue clearing, expansion microscopy, light-sheet microscopy) face limitations in scalability, throughput, and accessibility due to detection optics.
Purpose of the Study:
- To overcome the limitations of current optical detection systems in biological imaging.
- To introduce a novel optical framework for enhanced resolution and scalability in 3D microscopy.
Main Methods:
- Introduction of hybrid solid-liquid optics (HySIL), a flexible refractive design framework.
- HySIL utilizes a solid optical element and a refractive index (RI)-matched liquid as a continuous optical system.
- Implementation as SCOPE and Super-SCOPE systems for aberration-corrected light-sheet microscopy (LSM) with long-working-distance air objectives.
Main Results:
- Achieved submicron-resolution, aberration-corrected LSM.
- Demonstrated high-resolution volumetric imaging in diverse biological samples: cleared/expanded mouse, salamander, cavefish brains, human iPSC-derived brain organoids, and large human tissues for 3D histopathology.
- HySIL systems offer enhanced optical performance, low cost, long working distances, and multi-immersion compatibility.
Conclusions:
- HySIL provides an accessible and scalable foundation for next-generation volumetric imaging.
- This technology enables data-driven biological discovery across various scales and sample types.
- The framework addresses fundamental limitations in optical detection for advanced microscopy.
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