小柯机器人

清华大学Qionghai Dai, Lu Fang和Haoqian Wang共同合作近期取得重要工作突破，他们通过实时去噪法实现了超出散粒噪声限制的高灵敏度荧光延时成像。这一研究成果2022年9月26日在线发表于《自然—生物技术》杂志上。

为了实现超出散粒噪声限制的高灵敏度荧光成像，研究人员提出了DeepCAD-RT，这是一种用于实时噪声抑制的自监督深度学习方法。基于之前的框架DeepCAD，研究人员将网络参数数量减少了94%，内存消耗减少了27倍，处理时间减少了20倍，从而可以在双光子显微镜上进行实时处理。可以使用比标准成像方法少十倍的光子获得高成像信噪比。研究人员展示了DeepCAD-RT在一系列光子限制实验中的实用性，包括小鼠、斑马鱼幼虫和果蝇的体内钙成像、急性脑损伤后中性粒细胞的三维（3D）迁移记录和3D成像皮质ATP释放的动力学。DeepCAD-RT将以最小的光子预算促进生物动力学的形态和功能探究。

据介绍，荧光显微镜的一个基本挑战是光子探测不可避免的随机性所产生的光子散粒噪声。噪声增加了测量的不确定性，限制了成像分辨率、速度和灵敏度。

附：英文原文

Title: Real-time denoising enables high-sensitivity fluorescence time-lapse imaging beyond the shot-noise limit

Author: Li, Xinyang, Li, Yixin, Zhou, Yiliang, Wu, Jiamin, Zhao, Zhifeng, Fan, Jiaqi, Deng, Fei, Wu, Zhaofa, Xiao, Guihua, He, Jing, Zhang, Yuanlong, Zhang, Guoxun, Hu, Xiaowan, Chen, Xingye, Zhang, Yi, Qiao, Hui, Xie, Hao, Li, Yulong, Wang, Haoqian, Fang, Lu, Dai, Qionghai

Issue&Volume: 2022-09-26

Abstract: A fundamental challenge in fluorescence microscopy is the photon shot noise arising from the inevitable stochasticity of photon detection. Noise increases measurement uncertainty and limits imaging resolution, speed and sensitivity. To achieve high-sensitivity fluorescence imaging beyond the shot-noise limit, we present DeepCAD-RT, a self-supervised deep learning method for real-time noise suppression. Based on our previous framework DeepCAD, we reduced the number of network parameters by 94%, memory consumption by 27-fold and processing time by a factor of 20, allowing real-time processing on a two-photon microscope. A high imaging signal-to-noise ratio can be acquired with tenfold fewer photons than in standard imaging approaches. We demonstrate the utility of DeepCAD-RT in a series of photon-limited experiments, including in vivo calcium imaging of mice, zebrafish larva and fruit flies, recording of three-dimensional (3D) migration of neutrophils after acute brain injury and imaging of 3D dynamics of cortical ATP release. DeepCAD-RT will facilitate the morphological and functional interrogation of biological dynamics with a minimal photon budget.

DOI: 10.1038/s41587-022-01450-8

Source: https://www.nature.com/articles/s41587-022-01450-8

Nature Biotechnology：《自然—生物技术》，创刊于1996年。隶属于施普林格·自然出版集团，最新IF：68.164
官方网址：https://www.nature.com/nbt/
投稿链接：https://mts-nbt.nature.com/cgi-bin/main.plex