(I) Description:
Bruker MuVi SPIM CS is a high-performance multiview light-sheet fluorescence microscope designed for high-resolution imaging of large biological specimens. Its unique dual-sided illumination and detection architecture, combined with automated multiview image fusion, delivers near-isotropic resolution, excellent imaging depth, and outstanding image quality. The MuVi SPIM CS is ideally suited for developmental biology, cleared tissue imaging, neuroscience, and whole-organism studies.
(II) Features and benefits:
· Dual-sided illumination and dual-view detection for optimal image quality
· Automated multiview acquisition and image fusion for near-isotropic resolution
· Reduced shadowing and improved image uniformity throughout large specimens
· Fast volumetric imaging with minimal photobleaching and phototoxicity
· Deep imaging of cleared tissues, whole organs, embryos, and model organisms
· Large imaging volume with high spatial resolution
· Automated image reconstruction for accurate 3D visualization
· Flexible platform for developmental biology, neuroscience, tissue clearing, and spatial biology
(III) Technical Specifications:
- Imaging modality: Multiview Light-Sheet Fluorescence Microscopy (LSFM)
- Illumination geometry: Simultaneous dual-sided illumination
- Detection geometry: Dual-sided detection
- Image acquisition: Automated multiview imaging with image fusion
- Illumination mode: Digitally scanned Gaussian light sheet
- Detection objectives: Dual long-working-distance water immersion objectives
- Detection: Scientific CMOS (sCMOS) cameras
- Multi-view imaging: Four orthogonal views with automated sample rotation
- 3D reconstruction: Automated multiview registration and image fusion
- Software: Bruker LuxControl for acquisition and LuxBundle for image processing and visualization
- Sample compatibility: Cleared tissues, whole embryos, organoids, intact organs, and small model organisms
(IV) Producer: Bruker
(V) Aplications: Developmental biology, tissue clearing, neuroscience, whole-organ imaging, and spatial biology
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