The endogenous fluorophores such as reduced nicotinarmide adenine dinucleotide(phosphate)(NAD(P)H)and favin adenine dinucleotide(FAD)in cells and tissues can be imaged by fuo-rescence lifetime imaging microscopy(FLIM)...The endogenous fluorophores such as reduced nicotinarmide adenine dinucleotide(phosphate)(NAD(P)H)and favin adenine dinucleotide(FAD)in cells and tissues can be imaged by fuo-rescence lifetime imaging microscopy(FLIM)to show the tisute morphology features,as well as the biomolecular changes in microenvironment.The two important coenzymes in cellular metabolism,NAD(P)H and FAD,can be used to monitor the cellular metabolic status.This work proposed a novel method to study the uterine metabolism at the adjacent site of healthy cervix.It was found that the benign uterine tumors such as leiomyomas and adenomyosis with abnormal cell growth can be detected by measuring the fluorescence lifetime of NAD(P)H and FAD in adjacent healthy cervical tisues.This method opened a novel strategy for alicted women to undergo the cervical biopsies instead of hysterectomies for detecting tumors,which can preserve the fertility of patients.The FLIM studying on NAD(P)H and FAD indicated the correlation between metabolism and some diseases,including diabetes,hyperthyroidism and obesity.It was also suggested that the metabolic level might be quite different for a patient with a malignant tumnor history.展开更多
Digestive tract tumors acount for 15%and 19.3%of the cancer incidence and deaths,respec-tively.Early detection of digestive tract tumors is crucial to the reduction of global cancer burden.Two-photon excitation fuores...Digestive tract tumors acount for 15%and 19.3%of the cancer incidence and deaths,respec-tively.Early detection of digestive tract tumors is crucial to the reduction of global cancer burden.Two-photon excitation fuorescence lifetime imaging microscopy(TP-FLIM)allows non-invasive,label free,three-dimensional,high-resolution imaging of living tisues with not only histological but also biochemical characterization ability in both qualitative and quantitative way.Benefiting from these advantages,this technology is protmising for clinical diagnosis of digestive tract tumors.In recent years,many efforts have'been made in this field and some remarkable progress has been achieved.In this paper,we overview the recent progress of TP-FLIM-based researches on digestive tract tumor detection.Among them,our latest results on the gastric cancer and esophageal cancer are elaborately depicted.Finally,we outlook and discuss the potential advantages and challenges of TP-FLIM in future clinical applications.展开更多
Advanced glycation end products(AGEs)are a complex and heterogencous group of compounds that have been implicated in diabetes related complfcations.Sk in autofluorescence was recently introduced as an altemative tool ...Advanced glycation end products(AGEs)are a complex and heterogencous group of compounds that have been implicated in diabetes related complfcations.Sk in autofluorescence was recently introduced as an altemative tool for skin AGEs accumulation assessment in diabetes.Sucossful optical diagnosis of diabetes requires a rapid and accurate classification algorithm.In order to improve the performance of noninvasive and optical diagnosis of type 2 diabetes,support vector machines(SVM)algorithm was implemented for the clasification of skin autofluorescence from diabetics and control subjects.Cross-validation and grid optimization methods were employed to calculate the optimal parameters that ma ximize classification accuracy.Classification model was set up according to the training set and then veri fied by the testing set.The results show that radical basis fiunction is the best choice in the four common kernels in SVM.Moreover,a diagnostic accuracy of 82.61%,a sensitivity of 69.57%,and a specificity of 95.65%for discriminating diabetics from control subjects were achieved using a mixed kemel function,which is based on liner kernel function and radical basis function.In comparison with fasting plasma glucose and HbAue test,the clasifcation method of skin autofuorescence spectrum based on SVM shows great potential in screening of diabetes.展开更多
基金supported by the National Natural Science Foundation of China(NSFC)(Grant Nos.11574056,61575046 and 11804350)Ministry of science and technology of the People's Republic of China(China-Serbia bilateral project SINO-SERBIA2018002)+2 种基金the Shanghai Sailing Program(Grant No.17YF1421300)Fudan University-CIOMP Joint Fund(FC2017-007,FC2018-001)Pioneering Project of Academy for Engineering and Technology,Fudan University(gyy2018-001,gyy2018-002).
文摘The endogenous fluorophores such as reduced nicotinarmide adenine dinucleotide(phosphate)(NAD(P)H)and favin adenine dinucleotide(FAD)in cells and tissues can be imaged by fuo-rescence lifetime imaging microscopy(FLIM)to show the tisute morphology features,as well as the biomolecular changes in microenvironment.The two important coenzymes in cellular metabolism,NAD(P)H and FAD,can be used to monitor the cellular metabolic status.This work proposed a novel method to study the uterine metabolism at the adjacent site of healthy cervix.It was found that the benign uterine tumors such as leiomyomas and adenomyosis with abnormal cell growth can be detected by measuring the fluorescence lifetime of NAD(P)H and FAD in adjacent healthy cervical tisues.This method opened a novel strategy for alicted women to undergo the cervical biopsies instead of hysterectomies for detecting tumors,which can preserve the fertility of patients.The FLIM studying on NAD(P)H and FAD indicated the correlation between metabolism and some diseases,including diabetes,hyperthyroidism and obesity.It was also suggested that the metabolic level might be quite different for a patient with a malignant tumnor history.
基金supports from the National Key Research and Development Program of China(2017YFC0110200)Program 973(2015CB755502)+4 种基金the National Natural Science Foundation of China(NSFC)(81571724,81701744,81822023)the Natural Science Foundation of Guangdong Province(2014A030312006,2017A 030310308)the Scientific Instrument Innovation Team of Chinese Academy of Sciences(GJJSTD 20180002)the Shenzhen Science and Technology Program(JCYJ20170818164343304,JCYJ20170818155006471,JCYJ20160608214524052,JCYJ20180507182432303)the SIAT Innovation Program for Excellent Young Researchers(201821).
文摘Digestive tract tumors acount for 15%and 19.3%of the cancer incidence and deaths,respec-tively.Early detection of digestive tract tumors is crucial to the reduction of global cancer burden.Two-photon excitation fuorescence lifetime imaging microscopy(TP-FLIM)allows non-invasive,label free,three-dimensional,high-resolution imaging of living tisues with not only histological but also biochemical characterization ability in both qualitative and quantitative way.Benefiting from these advantages,this technology is protmising for clinical diagnosis of digestive tract tumors.In recent years,many efforts have'been made in this field and some remarkable progress has been achieved.In this paper,we overview the recent progress of TP-FLIM-based researches on digestive tract tumor detection.Among them,our latest results on the gastric cancer and esophageal cancer are elaborately depicted.Finally,we outlook and discuss the potential advantages and challenges of TP-FLIM in future clinical applications.
基金supported by the Knowledge Innovation Program of the Chinese Academy of Sciences(083RC11124).
文摘Advanced glycation end products(AGEs)are a complex and heterogencous group of compounds that have been implicated in diabetes related complfcations.Sk in autofluorescence was recently introduced as an altemative tool for skin AGEs accumulation assessment in diabetes.Sucossful optical diagnosis of diabetes requires a rapid and accurate classification algorithm.In order to improve the performance of noninvasive and optical diagnosis of type 2 diabetes,support vector machines(SVM)algorithm was implemented for the clasification of skin autofluorescence from diabetics and control subjects.Cross-validation and grid optimization methods were employed to calculate the optimal parameters that ma ximize classification accuracy.Classification model was set up according to the training set and then veri fied by the testing set.The results show that radical basis fiunction is the best choice in the four common kernels in SVM.Moreover,a diagnostic accuracy of 82.61%,a sensitivity of 69.57%,and a specificity of 95.65%for discriminating diabetics from control subjects were achieved using a mixed kemel function,which is based on liner kernel function and radical basis function.In comparison with fasting plasma glucose and HbAue test,the clasifcation method of skin autofuorescence spectrum based on SVM shows great potential in screening of diabetes.
