Dear Editor,Gynostemma pentaphyllum(Thunb.)Makino,a perennial climbing vine in the Cucurbitaceae family,has been widely used in traditional medicine for over 600 years(Blumert and Liu,1999).It serves as a valuable nat...Dear Editor,Gynostemma pentaphyllum(Thunb.)Makino,a perennial climbing vine in the Cucurbitaceae family,has been widely used in traditional medicine for over 600 years(Blumert and Liu,1999).It serves as a valuable natural source of over 200 dammaranetype saponins with notable bioactive properties,including anti-cancer,cardioprotective,hepatoprotective,neuroprotective,and anti-diabetic activities(Li et al.,2016;Nguyen et al.,2021).展开更多
Electronic digital convolutions could extract key features of objects for data processing and information identification in artificial intelligence,but they are time-cost and energy consumption due to the low response...Electronic digital convolutions could extract key features of objects for data processing and information identification in artificial intelligence,but they are time-cost and energy consumption due to the low response of electrons.Although massless photons enable high-speed and low-loss analog convolutions,two existing all-optical approaches including Fourier fItering and Green's function have either limited functionality or bulky volume,thus restricting their applications in smart systems.Here,we report aloptical convolutional computing with a metasurface-singlet or-doublet imager,considered as the third approach,where its point spread function is modified arbitrarily via a complex-amplitude meta-modulator that enables functionality-unlimited kernels.Beyond one-and two-dimensional spatial differentiation,we demonstrate real-time,parallel,and analog convolutional processing of optical and biological specimens with challenging pepper-salt denoising and edge enhancement,which significantly enrich the toolkit of all-optical computing.Such meta-imager approach bridges multi-functionality and high-integration in all-optical convolutions,meanwhile possessing good architecture compatibility with digital convolutional neural networks.展开更多
基金supported by the Chinese Academy of Medical Sciences Innovation Fund for Medical Sciences(grant 2021-I2M-1-032).The funders had no role in the design of the studythe collection,analyses,or interpretation of data+1 种基金the writing of the manuscriptor the decision to publish the results.
文摘Dear Editor,Gynostemma pentaphyllum(Thunb.)Makino,a perennial climbing vine in the Cucurbitaceae family,has been widely used in traditional medicine for over 600 years(Blumert and Liu,1999).It serves as a valuable natural source of over 200 dammaranetype saponins with notable bioactive properties,including anti-cancer,cardioprotective,hepatoprotective,neuroprotective,and anti-diabetic activities(Li et al.,2016;Nguyen et al.,2021).
基金the National Natural Science Foundation of China(Grant Nos.12134013 and 61875181)CAS Pioneer Hundred Talents Program,"the Fundamental Research Funds for the C entral Universities"in China,USTC Research Funds of the Double First-Class Initiative(Grant No.YD2030002003)+2 种基金the support from the University of Science and Technology of China's Centre for Micro and Nanoscale Research and Fabrication.C.T.thanks the National Natural Science Foundation of China(Grant Nos.62122072 and 12174368)the Institute of Artificial Intelligence at Hefei Comprehensive National Science Center(Grant No.21KT016)the Anhui Science and Technology Department(Grant No.18030801138).
文摘Electronic digital convolutions could extract key features of objects for data processing and information identification in artificial intelligence,but they are time-cost and energy consumption due to the low response of electrons.Although massless photons enable high-speed and low-loss analog convolutions,two existing all-optical approaches including Fourier fItering and Green's function have either limited functionality or bulky volume,thus restricting their applications in smart systems.Here,we report aloptical convolutional computing with a metasurface-singlet or-doublet imager,considered as the third approach,where its point spread function is modified arbitrarily via a complex-amplitude meta-modulator that enables functionality-unlimited kernels.Beyond one-and two-dimensional spatial differentiation,we demonstrate real-time,parallel,and analog convolutional processing of optical and biological specimens with challenging pepper-salt denoising and edge enhancement,which significantly enrich the toolkit of all-optical computing.Such meta-imager approach bridges multi-functionality and high-integration in all-optical convolutions,meanwhile possessing good architecture compatibility with digital convolutional neural networks.
