Since the 1990s,continuous technical and scientific advances have defied the diffraction limit in microscopy and enabled three-dimensional(3D)super-resolution imaging.An important milestone in this pursuit is the cohe...Since the 1990s,continuous technical and scientific advances have defied the diffraction limit in microscopy and enabled three-dimensional(3D)super-resolution imaging.An important milestone in this pursuit is the coherent utilization of two opposing objectives(4Pi geometry)and its combination with superresolution microscopy.Herein,we review the recent progress in 4Pi nanoscopy,which provides a 3D,non-invasive,diffraction-unlimited,and isotropic resolution in transparent samples.This review includes both the targeted and stochastic switching modalities of 4Pi nanoscopy.The schematics,principles,applications,and future potential of 4Pi nanoscopy are discussed in detail.展开更多
Recently,we theoretically demonstrate that utilization of silica nanobeads co-doped with Cy3 and Cy5 molecules instead of single dye molecules asfluorescent labels can enable optical resolutions far beyond the diffrac...Recently,we theoretically demonstrate that utilization of silica nanobeads co-doped with Cy3 and Cy5 molecules instead of single dye molecules asfluorescent labels can enable optical resolutions far beyond the diffraction-limit.Here,we show that by combining the 4Pi microscopy and the novelfluorescent label,it is possible to completely suppress the sidelobes in 4Pi focal spot and significantly enhance the optical resolution in the axial direction.展开更多
为了解决森林火灾、盗伐树木和伤害野生动物等林业管理方面的问题,设计了基于ROS的智能林业巡逻机器人。该机器人采用Raspberry Pi 4B作为主控、STM32F103RCT6拓展板作为辅控,主要硬件采用深度相机、激光雷达等,多种传感器协同对各种复...为了解决森林火灾、盗伐树木和伤害野生动物等林业管理方面的问题,设计了基于ROS的智能林业巡逻机器人。该机器人采用Raspberry Pi 4B作为主控、STM32F103RCT6拓展板作为辅控,主要硬件采用深度相机、激光雷达等,多种传感器协同对各种复杂环境进行环境感知。系统使用Ubuntu18.04,在电脑终端利用VNC远程控制平台对机器人进行操控。机器人具备自主巡逻、实时监控和物体识别等功能,并选用Cartographer建图算法进行自主导航,利用深度学习算法YOLOv4-tiny进行物体识别。实验测试结果表明,智能林业巡逻机器人运行稳定,可有效解决林业管理的问题,具有很高的实际应用价值。展开更多
Epidemiological studies have indicated that branched-chain amino acids(BCAAs)increased and gut microbiota disordered in type 2 diabetes mellitus(T2DM).This study aimed to investigate the mechanism of Lactiplantibacill...Epidemiological studies have indicated that branched-chain amino acids(BCAAs)increased and gut microbiota disordered in type 2 diabetes mellitus(T2DM).This study aimed to investigate the mechanism of Lactiplantibacillus plantarum strain 84-3(Lp84-3)combined with Staphylococcus aureus bacteriophage on ameliorating T2DM.Here we perform a case-control study and identify that Staphylococcus_phage was inversely correlated with fasting blood glucose(FBG).It revealed that Lp84-3 could inhibit the growth of S.aureus,and Lp84-3 contains BCAAs degradation enzymes in its genome.Furthermore,Lp84-3 alone or combined with S.aureus bacteriophage interventions can improve blood glucose,insulin resistance,triglycerides,interleukin-1β,tumor necrosis factor-α(TNF-α),BCAAs,and acetyllactate synthase(ALS)in db/db mice.Lp84-3 and S.aureus bacteriophage decreased S.aureus,Malacoplasma iowae,and Oscillibacter sp.,and increased some beneficial such as L.plantarum and Muribaculaceae bacterium.Transcriptomic analyses revealed that Lp84-3 and S.aureus bacteriophage activated the PI3K/AKT/GLUT4 signaling pathway and upregulated key genes of Il22,Hgf,Col6a1,Gh,Itga10,Fgf23,and Prl involved in glucose metabolism in hypothalamus.Collectively,Lp84-3 and S.aureus bacteriophage alleviate T2DM by modulating gut microbiota and enhancing glucose metabolism in hypothalamus,supporting its potential use as a promising functional compound microecological agent for alleviating T2DM.展开更多
为了提高工厂安防巡检效率、减少巡检人员的安全风险,设计了一款工厂安防巡检机器人,以STM32F407ZGT6为主控芯片、Raspberry Pi 4 Model B为图像处理。再结合摄像头和RFID等传感器,构建机器人巡检系统的视觉感知和定位检测模块,实现机...为了提高工厂安防巡检效率、减少巡检人员的安全风险,设计了一款工厂安防巡检机器人,以STM32F407ZGT6为主控芯片、Raspberry Pi 4 Model B为图像处理。再结合摄像头和RFID等传感器,构建机器人巡检系统的视觉感知和定位检测模块,实现机器人自主行驶、自主识别检测等功能。为了提高其巡检精度,采用四轮PWM调速驱动方式,同时在程序方面采用了OpenCV库目标检测等算法对目标图像进行处理识别,具有稳定性、易用性和高效性的优点,并且采用使用PID控制器的update方法,调整追踪算法的参数,以使得系统能够更好地跟踪目标。展开更多
基金financially supported by the grants from National Key Research and Development Program of China (2018YFA0701400 and 2018YFE0119000)the Fundamental Research Funds for the Central Universities (2019QNA5006)+2 种基金ZJU-Sunny Photonics Innovation Center (2019-01)Zhejiang Provincial Natural Science Foundation of China (LR18H180001)startup grant from Southern University of Science and Technology
文摘Since the 1990s,continuous technical and scientific advances have defied the diffraction limit in microscopy and enabled three-dimensional(3D)super-resolution imaging.An important milestone in this pursuit is the coherent utilization of two opposing objectives(4Pi geometry)and its combination with superresolution microscopy.Herein,we review the recent progress in 4Pi nanoscopy,which provides a 3D,non-invasive,diffraction-unlimited,and isotropic resolution in transparent samples.This review includes both the targeted and stochastic switching modalities of 4Pi nanoscopy.The schematics,principles,applications,and future potential of 4Pi nanoscopy are discussed in detail.
基金J.Chen acknowledges thefinancial support from NSFC(Grant No.61078016).
文摘Recently,we theoretically demonstrate that utilization of silica nanobeads co-doped with Cy3 and Cy5 molecules instead of single dye molecules asfluorescent labels can enable optical resolutions far beyond the diffraction-limit.Here,we show that by combining the 4Pi microscopy and the novelfluorescent label,it is possible to completely suppress the sidelobes in 4Pi focal spot and significantly enhance the optical resolution in the axial direction.
文摘为了解决森林火灾、盗伐树木和伤害野生动物等林业管理方面的问题,设计了基于ROS的智能林业巡逻机器人。该机器人采用Raspberry Pi 4B作为主控、STM32F103RCT6拓展板作为辅控,主要硬件采用深度相机、激光雷达等,多种传感器协同对各种复杂环境进行环境感知。系统使用Ubuntu18.04,在电脑终端利用VNC远程控制平台对机器人进行操控。机器人具备自主巡逻、实时监控和物体识别等功能,并选用Cartographer建图算法进行自主导航,利用深度学习算法YOLOv4-tiny进行物体识别。实验测试结果表明,智能林业巡逻机器人运行稳定,可有效解决林业管理的问题,具有很高的实际应用价值。
基金supported by research grants from the Guangdong Province Basic and Applied Basic Research Fund Project(2022A1515110447)Open Fund Project of the State Key Laboratory of Applied Microbiology in South China(SKLAM006-2022)+1 种基金74th batch of general funding from the China Postdoctoral Science Foundation(2023M740774)Guangdong Provincial People’s Hospital,Postdoctoral Research Launch Fund(BY012022017)。
文摘Epidemiological studies have indicated that branched-chain amino acids(BCAAs)increased and gut microbiota disordered in type 2 diabetes mellitus(T2DM).This study aimed to investigate the mechanism of Lactiplantibacillus plantarum strain 84-3(Lp84-3)combined with Staphylococcus aureus bacteriophage on ameliorating T2DM.Here we perform a case-control study and identify that Staphylococcus_phage was inversely correlated with fasting blood glucose(FBG).It revealed that Lp84-3 could inhibit the growth of S.aureus,and Lp84-3 contains BCAAs degradation enzymes in its genome.Furthermore,Lp84-3 alone or combined with S.aureus bacteriophage interventions can improve blood glucose,insulin resistance,triglycerides,interleukin-1β,tumor necrosis factor-α(TNF-α),BCAAs,and acetyllactate synthase(ALS)in db/db mice.Lp84-3 and S.aureus bacteriophage decreased S.aureus,Malacoplasma iowae,and Oscillibacter sp.,and increased some beneficial such as L.plantarum and Muribaculaceae bacterium.Transcriptomic analyses revealed that Lp84-3 and S.aureus bacteriophage activated the PI3K/AKT/GLUT4 signaling pathway and upregulated key genes of Il22,Hgf,Col6a1,Gh,Itga10,Fgf23,and Prl involved in glucose metabolism in hypothalamus.Collectively,Lp84-3 and S.aureus bacteriophage alleviate T2DM by modulating gut microbiota and enhancing glucose metabolism in hypothalamus,supporting its potential use as a promising functional compound microecological agent for alleviating T2DM.
文摘为了提高工厂安防巡检效率、减少巡检人员的安全风险,设计了一款工厂安防巡检机器人,以STM32F407ZGT6为主控芯片、Raspberry Pi 4 Model B为图像处理。再结合摄像头和RFID等传感器,构建机器人巡检系统的视觉感知和定位检测模块,实现机器人自主行驶、自主识别检测等功能。为了提高其巡检精度,采用四轮PWM调速驱动方式,同时在程序方面采用了OpenCV库目标检测等算法对目标图像进行处理识别,具有稳定性、易用性和高效性的优点,并且采用使用PID控制器的update方法,调整追踪算法的参数,以使得系统能够更好地跟踪目标。
