Smart wide-field fluorescence lifetime imaging system with CMOS single-photon avalanche diode arrays
Xiao, Dong and Zang, Zhenya and Wang, Quan and Jiao, Ziao and Rocca, Francescopaolo Mattioli Della and Chen, Yu and Li, David Day Uei; (2022) Smart wide-field fluorescence lifetime imaging system with CMOS single-photon avalanche diode arrays. In: 2022 44th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC). IEEE, GBR, pp. 1887-1890. ISBN 9781728127828 (https://doi.org/10.1109/embc48229.2022.9870996)
Preview |
Text.
Filename: Xiao_etal_IEEE_EMBS_2022_Smart_wide_field_fluorescence_lifetime_imaging_system_with_CMOS.pdf
Accepted Author Manuscript License: Strathprints license 1.0 Download (1MB)| Preview |
Abstract
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, the FLIM data obtained by such sensor systems often have sophisticated noise features. There is still a lack of fast tools to recover lifetime parameters from highly noise-corrupted fluorescence signals efficiently. This paper proposes a smart wide-field FLIM system containing a 192×128 COMS SPAD sensor and a field-programmable gate array (FPGA) embedded deep learning (DL) FLIM processor. The processor adopts a hardware-friendly and light-weighted neural network for fluorescence lifetime analysis, showing the advantages of high accuracy against noise, fast speed, and low power consumption. Experimental results demonstrate the proposed system's superior and robust performances, promising for many FLIM applications such as FLIM-guided clinical surgeries, cancer diagnosis, and biomedical imaging
ORCID iDs
Xiao, Dong, Zang, Zhenya, Wang, Quan, Jiao, Ziao, Rocca, Francescopaolo Mattioli Della, Chen, Yu and Li, David Day Uei ORCID: https://orcid.org/0000-0002-6401-4263;-
-
Item type: Book Section ID code: 83458 Dates: DateEvent8 September 2022Published11 July 2022Published Online2 May 2022AcceptedNotes: © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting /republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. Subjects: Technology > Electrical engineering. Electronics Nuclear engineering
Technology > Engineering (General). Civil engineering (General) > BioengineeringDepartment: Faculty of Science > Strathclyde Institute of Pharmacy and Biomedical Sciences
Faculty of Science > PhysicsDepositing user: Pure Administrator Date deposited: 07 Dec 2022 15:43 Last modified: 11 Nov 2024 15:31 URI: https://strathprints.strath.ac.uk/id/eprint/83458