Zobrazeno 1 - 10
of 118
pro vyhledávání: '"David Day Uei Li"'
Autor:
Quan Wang, Mingliang Pan, Lucas Kreiss, Saeed Samaei, Stefan A. Carp, Johannes D. Johansson, Yuanzhe Zhang, Melissa Wu, Roarke Horstmeyer, Mamadou Diop, David Day-Uei Li
Publikováno v:
NeuroImage, Vol 298, Iss , Pp 120793- (2024)
Diffuse correlation spectroscopy (DCS) is a powerful tool for assessing microvascular hemodynamic in deep tissues. Recent advances in sensors, lasers, and deep learning have further boosted the development of new DCS methods. However, newcomers might
Externí odkaz:
https://doaj.org/article/33abbbd761ba468aa564024086d10958
Publikováno v:
Journal of Marine Science and Engineering, Vol 12, Iss 10, p 1766 (2024)
Due to the complexity of underwater environments, underwater target recognition based on radiated noise has always been challenging. This paper proposes a multi-scale frequency-adaptive network for underwater target recognition. Based on the differen
Externí odkaz:
https://doaj.org/article/dafbf77e89a7428480692fcc5eeef47c
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:
Systems Science & Control Engineering, Vol 7, Iss 1, Pp 252-263 (2019)
In the UK, more and more people are suffering from various kinds of cognitive impairment. Its early detection and diagnosis can be of great importance. However, it is challenging to detect cognitive impairment in the early stage with high accuracy an
Externí odkaz:
https://doaj.org/article/340dc2d431ac42ffa14bd7508d28b15a
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
Autor:
Dong Xiao, Natakorn Sapermsap, Mohammed Safar, Margaret Rose Cunningham, Yu Chen, David Day‐Uei Li
Publikováno v:
Frontiers in Physics, Vol 9 (2021)
Time-correlated single-photon counting (TCSPC) has been the gold standard for fluorescence lifetime imaging (FLIM) techniques due to its high signal-to-noize ratio and high temporal resolution. The sensor system's temporal instrument response functio
Externí odkaz:
https://doaj.org/article/bae9a3a4978247eea262a3a2333aa03e
Autor:
Yahui Li, Sapermsap Natakorn, Yu Chen, Mohammed Safar, Margaret Cunningham, Jinshou Tian, David Day-Uei Li
Publikováno v:
Frontiers in Physics, Vol 8 (2021)
Externí odkaz:
https://doaj.org/article/5b66bfdfe1154f61aaf1bea3db1382c8
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
Autor:
Yahui Li, Sapermsap Natakorn, Yu Chen, Mohammed Safar, Margaret Cunningham, Jinshou Tian, David Day-Uei Li
Publikováno v:
Frontiers in Physics, Vol 8 (2020)
Intensity- and amplitude-weighted average lifetimes, denoted as τI and τA hereafter, are useful indicators for revealing Förster resonance energy transfer (FRET) or fluorescence quenching behaviors. In this work, we discussed the differences betwe
Externí odkaz:
https://doaj.org/article/1d4d8ec4f636431d8e668ac6ed971d2c
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
