The encoding/decoding scheme based on Fiber Bragg Grating (FBG) for Optical Code Division Multiple Access (OCDMA) system is analyzed and the whole process from transmitting end to receiving end is researched in detail...The encoding/decoding scheme based on Fiber Bragg Grating (FBG) for Optical Code Division Multiple Access (OCDMA) system is analyzed and the whole process from transmitting end to receiving end is researched in detail. The mathematical mode including signal transmission, summing, receiving and recovering are established respectively. One of the main sources of Bit Error Rate (BER) of OCDMA system based on FBGs is the unevenness of signal power spectrum, which leads to the chip powers unequal with each other. The Signal to Interfere Ratio (SIR) and BER performance of the system are studied and simulated at the case with uneven distribution of chips' powers.展开更多
New initiatives put forward by clinical diagnosis require the development of technologies for high throughput screening(HTS) of multiple analytes. Suspension arrays have great advantages over the planar arraybased mul...New initiatives put forward by clinical diagnosis require the development of technologies for high throughput screening(HTS) of multiple analytes. Suspension arrays have great advantages over the planar arraybased multiplexing assays, and the encoded bead is the key for providing multiplexing capability. Among various encoding strategies, optically encoded microspheres have been widely used while the number of codes is still limited. This review discusses the progress of optical encoding strategy from mainly three aspects, namely organic dyes, quantum dots(QDs) and surface-enhanced Raman scattering(SERS) active substrates. Emphases are put up on describing how these optical encoded microbeads are manufactured and the merits and demerits of different encoding materials are compared.展开更多
Computational optics introduces computation into optics and consequently helps overcome traditional optical limitations such as low sensing dimension,low light throughput,low resolution,and so on.The combination of op...Computational optics introduces computation into optics and consequently helps overcome traditional optical limitations such as low sensing dimension,low light throughput,low resolution,and so on.The combination of optical encoding and computational decoding offers enhanced imaging and sensing capabilities with diverse applications in biomedicine,astronomy,agriculture,etc.With the great advance of artificial intelligence in the last decade,deep learning has further boosted computational optics with higher precision and efficiency.Recently,there developed an end-to-end joint optimization technique that digitally twins optical encoding to neural network layers,and then facilitates simultaneous optimization with the decoding process.This framework offers effective performance enhancement over conventional techniques.However,the reverse physical twinning from optimized encoding parameters to practical modulation elements faces a serious challenge,due to the discrepant gap in such as bit depth,numerical range,and stability.In this regard,this review explores various optical modulation elements across spatial,phase,and spectral dimensions in the digital twin model for joint encoding-decoding optimization.Our analysis offers constructive guidance for finding the most appropriate modulation element in diverse imaging and sensing tasks concerning various requirements of precision,speed,and robustness.The review may help tackle the above twinning challenge and pave the way for next-generation computational optics.展开更多
Single-pixel imaging(SPI)is a promising technology for optical imaging beyond the visible spectrum,where commercial cameras are expensive or unavailable.However,limitations such as slow pattern projection rates and ti...Single-pixel imaging(SPI)is a promising technology for optical imaging beyond the visible spectrum,where commercial cameras are expensive or unavailable.However,limitations such as slow pattern projection rates and time-consuming reconstruction algorithms hinder its throughput for real-time imaging.Consequently,conventional SPI is inadequate for high-speed,high-resolution tasks.To address these challenges,we developed an ultrahigh-throughput single-pixel complex-field microscopy(SPCM)system utilizing frequency-comb acousto-optic coherent encoding(FACE).This system enables real-time complex-field monitoring in the non-visible domain.Operating at 1030 nm,our system achieves a record-high space-bandwidth-time product(SBP-T)of 1.3×10^(7),surpassing previous SPCM(~10^(4)),SPI(~10^(5)),and even certain types of commercial near-infrared cameras(~10^(6)).It supports real-time streaming at 1000 Hz with a frame size of 80×81 pixels and a lateral resolution of 3.76μm across an approximately 300μm field of view.We validated the system by imaging dynamic transparent scenes,including microfluidics,live microorganisms,chemical reactions,as well as imaging through scattering media.This advancement offers a superior solution for high-speed,high-resolution complex-field imaging beyond the visible spectrum,significantly enhancing SPI performance across various applications.展开更多
基金Supported by the Natural Science Research Foundation of Jiangsu Higher-Learning Insti-tution (No.04jkb510057).
文摘The encoding/decoding scheme based on Fiber Bragg Grating (FBG) for Optical Code Division Multiple Access (OCDMA) system is analyzed and the whole process from transmitting end to receiving end is researched in detail. The mathematical mode including signal transmission, summing, receiving and recovering are established respectively. One of the main sources of Bit Error Rate (BER) of OCDMA system based on FBGs is the unevenness of signal power spectrum, which leads to the chip powers unequal with each other. The Signal to Interfere Ratio (SIR) and BER performance of the system are studied and simulated at the case with uneven distribution of chips' powers.
基金the 2012 Shanghai Jiao Tong University and University of Michigan Collaborative Research Projects(No.12X120010007)the National High Technology Research and Development Program(863) of China(No.2012AA020103)+1 种基金the Shanghai Nano Program(No.11nm0505600)the Shanghai Jiao Tong University Funding(No.YG2012ZD03)
文摘New initiatives put forward by clinical diagnosis require the development of technologies for high throughput screening(HTS) of multiple analytes. Suspension arrays have great advantages over the planar arraybased multiplexing assays, and the encoded bead is the key for providing multiplexing capability. Among various encoding strategies, optically encoded microspheres have been widely used while the number of codes is still limited. This review discusses the progress of optical encoding strategy from mainly three aspects, namely organic dyes, quantum dots(QDs) and surface-enhanced Raman scattering(SERS) active substrates. Emphases are put up on describing how these optical encoded microbeads are manufactured and the merits and demerits of different encoding materials are compared.
基金supported by the National Natural Science Foundation of China(Nos.62131003,62322502,62088101)the Guangdong Province Key Laboratory of Intelligent Detection in Complex Environment of Aerospace,Land and Sea(No.2022KSYS016).
文摘Computational optics introduces computation into optics and consequently helps overcome traditional optical limitations such as low sensing dimension,low light throughput,low resolution,and so on.The combination of optical encoding and computational decoding offers enhanced imaging and sensing capabilities with diverse applications in biomedicine,astronomy,agriculture,etc.With the great advance of artificial intelligence in the last decade,deep learning has further boosted computational optics with higher precision and efficiency.Recently,there developed an end-to-end joint optimization technique that digitally twins optical encoding to neural network layers,and then facilitates simultaneous optimization with the decoding process.This framework offers effective performance enhancement over conventional techniques.However,the reverse physical twinning from optimized encoding parameters to practical modulation elements faces a serious challenge,due to the discrepant gap in such as bit depth,numerical range,and stability.In this regard,this review explores various optical modulation elements across spatial,phase,and spectral dimensions in the digital twin model for joint encoding-decoding optimization.Our analysis offers constructive guidance for finding the most appropriate modulation element in diverse imaging and sensing tasks concerning various requirements of precision,speed,and robustness.The review may help tackle the above twinning challenge and pave the way for next-generation computational optics.
基金supported in part by the National Natural Science Foundation of China(12404380,12325408,12274129,12374274,12274139,62175069,62175066,62475070,12474404)the Fundamental and Applied Basic Research Project of Guangzhou(2024A04J2001)+2 种基金the Guangdong Basic and Applied Basic Research Foundation(2023A1515110742,2023B1515120044,2024B1515020051)Shanghai Municipal Education Commission(2024AI01007)Science and Technology Commission of Shanghai Municipality(QNKJ2024031).
文摘Single-pixel imaging(SPI)is a promising technology for optical imaging beyond the visible spectrum,where commercial cameras are expensive or unavailable.However,limitations such as slow pattern projection rates and time-consuming reconstruction algorithms hinder its throughput for real-time imaging.Consequently,conventional SPI is inadequate for high-speed,high-resolution tasks.To address these challenges,we developed an ultrahigh-throughput single-pixel complex-field microscopy(SPCM)system utilizing frequency-comb acousto-optic coherent encoding(FACE).This system enables real-time complex-field monitoring in the non-visible domain.Operating at 1030 nm,our system achieves a record-high space-bandwidth-time product(SBP-T)of 1.3×10^(7),surpassing previous SPCM(~10^(4)),SPI(~10^(5)),and even certain types of commercial near-infrared cameras(~10^(6)).It supports real-time streaming at 1000 Hz with a frame size of 80×81 pixels and a lateral resolution of 3.76μm across an approximately 300μm field of view.We validated the system by imaging dynamic transparent scenes,including microfluidics,live microorganisms,chemical reactions,as well as imaging through scattering media.This advancement offers a superior solution for high-speed,high-resolution complex-field imaging beyond the visible spectrum,significantly enhancing SPI performance across various applications.
