Spectroscopy and Spectral Analysis, Volume. 44, Issue 4, 1081(2024)
Single-Cell Blood Classification Method Based on Fluorescence Optical Tweezers and Machine Learning
[1] [1] Huang S,Wang P,Tian Y,et al. Biomedical Optics Express,2019,10(12): 6129.
[3] [3] Dou Jinrui,Dawuti W,Zheng Xiangxiang,et al. Photodiagnosis and Photodynamic Therapy,2022,40: 103102.
[4] [4] Leclerc P,Ray C,Mahieu-Williame L,et al. Scientific Reports,2020,10: 1462.
[5] [5] Devanesan S,AlQahtani F,AlSalhi M S,et al. Journal of Infection and Public Health,2019,12(4): 585.
[6] [6] Madhuri S,Vengadesan N,Aruna P,et al. Photochemistry and Photobiology,2003,78(2): 197.
[7] [7] Kalaivani R,Masilamani V,Sivaji K,et al. Photomedicine & Laser Surgery,2008,26(3): 251.
[9] [9] Qian Mengjia,Wang D C,Chen Hao,et al. Seminars in Cell & Developmental Biology,2017, 64: 143.
[10] [10] Giuseppe P,Philip H J,Onofrio M M, et al. European Physical Journal Plus,2020,135(12): 949.
[12] [12] Genuer R,Poggi J M, Tuleau-Malot C,et al. Big Data Research,2017,9: 28.
[13] [13] Wang Ziqi,Liu Yiming,Lu Weilai,et al. Biomedical Optics Express,2021,12(12): 7568.
Get Citation
Copy Citation Text
ZHOU Zhe-hai, XIONG Tao, ZHAO Shuang, ZHANG Fan, ZHU Gui-xian. Single-Cell Blood Classification Method Based on Fluorescence Optical Tweezers and Machine Learning[J]. Spectroscopy and Spectral Analysis, 2024, 44(4): 1081
Received: Sep. 26, 2022
Accepted: --
Published Online: Aug. 21, 2024
The Author Email: Zhe-hai ZHOU (zhouzhehai@bistu.edu.cn)