Zobrazeno 1 - 10
of 87
pro vyhledávání: '"David Day Uei Li"'
Publikováno v:
Results in Optics, Vol 15, Iss , Pp 100622- (2024)
HiLo microscopy is a powerful, low-cost, and easily configurable technique for acquiring high-contrast optically-sectioned images. However, traditional HiLo microscopes are based on coherent light sources with diffusive glass plates or incoherent lig
Externí odkaz:
https://doaj.org/article/1ae7d8f4734b48fba6a4bf96b51459bc
Publikováno v:
Sensors, Vol 22, Iss 19, p 7293 (2022)
Fluorescence lifetime imaging (FLIM) is a powerful tool that provides unique quantitative information for biomedical research. In this study, we propose a multi-layer-perceptron-based mixer (MLP-Mixer) deep learning (DL) algorithm named FLIM-MLP-Mixe
Externí odkaz:
https://doaj.org/article/519cfd6ffc8949b6b78ad6f6dbda5dff
Publikováno v:
Sensors, Vol 22, Iss 10, p 3758 (2022)
We present a fast and accurate analytical method for fluorescence lifetime imaging microscopy (FLIM), using the extreme learning machine (ELM). We used extensive metrics to evaluate ELM and existing algorithms. First, we compared these algorithms usi
Externí odkaz:
https://doaj.org/article/e4a89f07fd4f42da95765e0795e26303
We present a deep learning (DL) framework, which we term FPFLI (Few-PhotonFluorescenceLifetimeImaging), for fast analyzing fluorescence lifetime imaging (FLIM) data under highly low-light conditions with only a few photon-per-pixels (PPPs). FPFLI bre
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6129b11b52f93d5638f3eefa1ef16796
https://doi.org/10.1101/2023.04.06.534322
https://doi.org/10.1101/2023.04.06.534322
Publikováno v:
IEEE Transactions on Industrial Electronics. 69:4264-4274
This paper proposes a new calibration method, called the mixed-binning (MB) method, to pursue high-linearity time-to-digital converters (TDCs) for light detection and ranging (LiDAR) applications. The proposed TDCs were developed using tapped delay-l
Publikováno v:
IEEE Journal of Selected Topics in Quantum Electronics. 27:1-10
We present a hardware-friendly deep learning architecture with one-dimensional convolutional neural networks (1D CNN) for fast analyzing fluorescence lifetime imaging (FLIM) data. A 1D CNN shows unparalleled advantages; they are more straightforward,
Smart Wide-field Fluorescence Lifetime Imaging System with CMOS Single-photon Avalanche Diode Arrays
Autor:
Dong Xiao, Zhenya Zang, Quan Wang, Ziao Jiao, Francescopaolo Mattioli Della Rocca, Yu Chen, David Day Uei Li
Publikováno v:
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference. 2022
Wide-field fluorescence lifetime imaging (FLIM) is a promising technique for biomedical and clinic applications. Integrating with CMOS single-photon avalanche diode (SPAD) sensor arrays can lead to cheaper and portable real-time FLIM systems. However
This paper presents a low-hardware consumption, resolution-configurable, automatically calibrating gray code oscillator time-to-digital converter (GCO-TDC) in Xilinx 16nm UltraScale+, 20nm UltraScale and 28nm Virtex-7 field-programmable gate arrays (
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e1b30a0fecf799998ca75bc2af6d303f
https://strathprints.strath.ac.uk/80636/1/Wang_etal_IEEE_TIE_2022_Low_hardware_consumption_resolution_configurable_gray_code_oscillator.pdf
https://strathprints.strath.ac.uk/80636/1/Wang_etal_IEEE_TIE_2022_Low_hardware_consumption_resolution_configurable_gray_code_oscillator.pdf
Autor:
David Day-Uei Li, Zixiang Fei, Huiyu Zhou, Stephen H. Butler, Winifred Ijomah, Erfu Yang, Xia Li
Publikováno v:
Neurocomputing. 388:212-227
Facial expressions play an important role during communications, allowing information regarding the emotional state of an individual to be conveyed and inferred. Research suggests that automatic facial expression recognition is a promising avenue of
A high-resolution time-to-digital converter (TDC) based on wave union (four-edge WU A), dual-sampling, and sub-TDL methods is proposed and implemented in a 16-nm Xilinx UltraScale+ field-programmable gate array (FPGA). We combine WU and dual-sampling
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::68fe4d832f9c90723e4acf127efbde05