Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Zhenya Zang"'
Publikováno v:
Journal of Biomedical Optics; Jan2024, Vol. 29 Issue 1, p1-22, 22p
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
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 reported a bespoke adder-based deep learning network for time-domain fluorescence lifetime imaging (FLIM). By leveraging the l1-norm extraction method, we propose a 1-D Fluorescence Lifetime AdderNet (FLAN) without multiplication-based con
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f17fe7f42b49c6145a0b0999c851073
Publikováno v:
Biomedical Optics Express
Measuring fluorescence lifetimes of fast-moving cells or particles have broad applications in biomedical sciences. This paper presents a dynamic fluorescence lifetime sensing (DFLS) system based on the time-correlated single-photon counting (TCSPC) p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::87f2c261b7a018abb3d04c9e18c74af9
https://strathprints.strath.ac.uk/76440/7/Xiao_etal_BOE_2021_Dynamic_fluorescence_lifetime_sensing_with_CMOS_single_photon.pdf
https://strathprints.strath.ac.uk/76440/7/Xiao_etal_BOE_2021_Dynamic_fluorescence_lifetime_sensing_with_CMOS_single_photon.pdf
Publikováno v:
EBCCSP
This paper proposes a new calibration method, the mixed-binning method, to pursue a TDC with high linearity in field-programmable gate arrays (FPGAs). This method can reduce the nonlinearity caused by large clock skews in FPGAs efficiently. Therefore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ab3a07a0e0d94666e8d798072d460fa7
https://strathprints.strath.ac.uk/76251/7/Xie_etal_EBCCSP2020_Multi_channel_high_linearity_time_to_digital_converters.pdf
https://strathprints.strath.ac.uk/76251/7/Xie_etal_EBCCSP2020_Multi_channel_high_linearity_time_to_digital_converters.pdf
Publikováno v:
Optics Express. 30:11479
We present a deep learning approach to obtain high-resolution (HR) fluorescence lifetime images from low-resolution (LR) images acquired from fluorescence lifetime imaging (FLIM) systems. We first proposed a theoretical method for training neural net
Publikováno v:
ICIT
In IoT (Internet of Things) applications, security issues are increasingly attracting attention. However, current embedded processors lack cryptographic protection mechanism. In this paper, an austere RISC-V core processor with RV32I subset instructi
Publikováno v:
Optics Express. 29:19278
Single-photon avalanche diodes (SPAD) are powerful sensors for 3D light detection and ranging (LiDAR) in low light scenarios due to their single-photon sensitivity. However, accurately retrieving ranging information from noisy time-of-arrival (ToA) p