Structured illumination microscopy(SIM)is a promising super-resolution technique for imaging subcellular structures and dynamics due to its compatibility with most commonly usedffuorescent labeling methods.Structured ...Structured illumination microscopy(SIM)is a promising super-resolution technique for imaging subcellular structures and dynamics due to its compatibility with most commonly usedffuorescent labeling methods.Structured illumination can be obtained by either laser interference or projection of fringe patterns.Here,we proposed a fringe projector composed of a compact multiwavelength LEDs module and a digital micromirror device(DMD)which can be directly attached to most commercial invertedffuorescent microscopes and update it into a SIM system.The effects of the period and duty cycle of fringe patterns on the modulation depth of the structured lightfield were studied.With the optimized fringe pattern,1:6×resolution improvement could be obtained with high-end oil objectives.Multicolor imaging and dynamics of subcellular organelles in live cells were also demonstrated.Our method provides a low-cost solution for SIM setup to expand its wide range of applications to most research labs in thefield of life science and medicine.展开更多
The World Health Organization has projected that by 2030,chronic obstructive pulmonary disease(COPD)will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide.[1]Acute exacerbati...The World Health Organization has projected that by 2030,chronic obstructive pulmonary disease(COPD)will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide.[1]Acute exacerbations of chronic obstructive pulmonary disease(AECOPD)are associated with an accelerated decline in lung function,diminished quality of life,and higher mortality.[2]Accurate early detection of AECOPD contributes to better management and mortality reduction,and in the recent past there has been great progress in the development and application of machine learning(ML),which is an important part of predictive analytics incorporating predictive models that improve with increasing numbers of cases,in seeking ways to better tackle COPD.展开更多
基金The study was funded by the National Key Technologies R&D Program of China(2018YFC0114800 and 2017YFC0109900)the Natural Science Foundation of China(NSFC)(61405238)+1 种基金the Natural Science Foundation of Jiangsu Province(BK20141206)the Key Technologies R&D Program of Jiangsu Province(BE2018666).
文摘Structured illumination microscopy(SIM)is a promising super-resolution technique for imaging subcellular structures and dynamics due to its compatibility with most commonly usedffuorescent labeling methods.Structured illumination can be obtained by either laser interference or projection of fringe patterns.Here,we proposed a fringe projector composed of a compact multiwavelength LEDs module and a digital micromirror device(DMD)which can be directly attached to most commercial invertedffuorescent microscopes and update it into a SIM system.The effects of the period and duty cycle of fringe patterns on the modulation depth of the structured lightfield were studied.With the optimized fringe pattern,1:6×resolution improvement could be obtained with high-end oil objectives.Multicolor imaging and dynamics of subcellular organelles in live cells were also demonstrated.Our method provides a low-cost solution for SIM setup to expand its wide range of applications to most research labs in thefield of life science and medicine.
基金Suzhou Special Technical Project for Diagnosis and Treatment of Key Clinical Diseases(No.LCZX201931)
文摘The World Health Organization has projected that by 2030,chronic obstructive pulmonary disease(COPD)will be the third-leading cause of mortality and the seventh-leading cause of morbidity worldwide.[1]Acute exacerbations of chronic obstructive pulmonary disease(AECOPD)are associated with an accelerated decline in lung function,diminished quality of life,and higher mortality.[2]Accurate early detection of AECOPD contributes to better management and mortality reduction,and in the recent past there has been great progress in the development and application of machine learning(ML),which is an important part of predictive analytics incorporating predictive models that improve with increasing numbers of cases,in seeking ways to better tackle COPD.
