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Smart scanning for low-illumination and fast RESOLFT nanoscopy in vivo

机译:智能扫描可在体内实现低照度和快速RESOLFT纳米检查

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摘要

RESOLFT fluorescence nanoscopy can nowadays image details far beyond the diffraction limit. However, signal to noise ratio (SNR) and temporal resolution are still a concern, especially deep inside living cells and organisms. In this work, we developed a non-deterministic scanning approach based on a real-time feedback system which speeds up the acquisition up to 6-fold and decreases the light dose by 70–90% for in vivo imaging. Also, we extended the information content of the images by acquiring the complete temporal evolution of the fluorescence generated by reversible switchable fluorescent proteins. This generates a series of images with different spatial resolution and SNR, from conventional to RESOLFT images, which combined through a multi-image deconvolution algorithm further enhances the effective resolution. We reported nanoscale imaging of organelles up to 35 Hz and actin dynamics during an invasion process at a depth of 20–30 µm inside a living Caenorhabditis elegans worm.
机译:如今,RESOLFT荧光纳米技术可以将图像细节远远超出衍射极限。但是,信噪比(SNR)和时间分辨率仍然是一个问题,特别是在活细胞和生物内部。在这项工作中,我们开发了一种基于实时反馈系统的非确定性扫描方法,该方法可加快采集速度达6倍,并将光剂量降低70-90%,以进行体内成像。此外,我们通过获取可逆可转换荧光蛋白产生的荧光的完整时间演变,扩展了图像的信息内容。从常规图像到RESOLFT图像,这会生成一系列具有不同空间分辨率和SNR的图像,这些图像通过多图像反卷积算法进行组合,从而进一步提高了有效分辨率。我们报道了在生活中的秀丽隐杆线虫蠕虫内侵袭过程中,深度达35 Hz的细胞器的纳米级成像和肌动蛋白动力学,深度为20-30μm。

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