Single-mode fiber
laser energy distribution
Credit: Airy Technologies
• Low phototoxicity and long-term observation of live cell division with Nova-SD
Through a number of proprietary technologies, Airy Technologies has achieved confocal imaging with a large field-of-view, high speed, high resolution, and high level optical sectioning
• Multimode optical fiber + large-field homogenization technology: Achieve uniform large-field illumination.
• Large field-of-view dichroism: ensures that both the excitation FOV and imaging FOV can cover a large, uniform range.
• Partition spinning disc: Enables the balance of high resolution and high-level optical sectioning.
• Proprietary high-speed spinning disc system: ensures clear images with no ripples.
• High-Quantum Efficiency Research-grade sCMOS Camera: Achieve high-speed, high-sensitivity, and large field-of-view imaging.
Single-mode fiber
laser energy distribution
Traditional dual-disk confocal systems generally use single-mode fiber-coupled lasers, which makes the illumination Gaussian distributed and difficult to couple, and the maximum coupling efficiency is usually less than 50%.
Multi-mode fiber
laser energy distribution
Multimode fiber coupling is less difficult (leading to higher system stability). the coupling efficiency can be greater than 90%, and the spot is uniform, providing high-quality large-field illumination for the Nova-SD spinning disc confocal system.
High sensitivity, high-speed imaging, suitable for thin sections of cells, tissues, low-light imaging and other samples.
It has high-level optical sectioning ability and balanced sensitivity, making it suitable for imaging thick samples such as organoid tissues and model organisms.
The Nova-SD spinning disc confocal imaging system is equipped with a back-illuminated research-grade sCMOS camera with peak quantum efficiency up to 95%.
The detection system has a wide spectral response capability of 200-1100 nm, combined with a large pixel size of 6.5 μm and a high-resolution pixel array of 2400×2400, providing a solid foundation for high-sensitivity imaging and excellent signal-to-noise ratio.
• Denoise algorithm: A dedicated noise reduction module based on deep learning that effectively suppresses background noise and improves image signal-to-noise ratio for subcellular structures such as mitochondria.
• DARK algorithm: AiryTech's exclusive DARK algorithm can remove background fluorescence from widefield images, significantly improving the signal-to-noise ratio of images. The processed widefield data enables confocal similar optical sectioning.
• MRA algorithm: Based on the regularization constraint of multi-resolution analysis based on fluorescence imaging, the MRA physical fidelity deconvolution algorithm can improve the resolution and obtain high-quality images under the premise of fidelity.
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