IRapid and sensitive detection of waterborne pathogens using machine learning on a smartphone based fluorescence microscope (Conference Presentation)

被引:0
|
作者
Koydemir, Hatice Ceylan [1 ]
Goracs, Zoltan [1 ]
Tseng, Derek [1 ]
Cortazar, Bingen [1 ]
Feng, Steve W. [1 ]
Chan, Raymond Yan Lok [1 ]
Burbano, Jordie [1 ]
McLeod, Euan [2 ]
Ozcan, Aydogan [1 ]
机构
[1] Univ Calif Los Angeles, Los Angeles, CA USA
[2] Univ Arizona, Tucson, AZ 85721 USA
关键词
D O I
10.1117/12.2238738
中图分类号
TH742 [显微镜];
学科分类号
摘要
引用
收藏
页数:1
相关论文
共 50 条
  • [41] Morning Anxiety Detection Through Smartphone-Based Photoplethysmography Signals Analysis Using Machine Learning Methods
    Sistaninezhad, Masoud
    Jafarizadeh, Ali
    Rajebi, Saman
    Pedrammehr, Siannak
    Alizadehsani, Roohallah
    Gorriz, Juan M.
    ARTIFICIAL INTELLIGENCE FOR NEUROSCIENCE AND EMOTIONAL SYSTEMS, PT I, IWINAC 2024, 2024, 14674 : 3 - 13
  • [42] Sensitive fluorescence detection of pathogens based on target nucleic acid sequence-triggered transcription
    Chen, LinLin
    Huang, Huidong
    Wang, Ziqi
    Deng, Keqin
    Huang, Haowen
    TALANTA, 2022, 243
  • [43] Enhancing Fault Detection in Time Sensitive Networks using Machine Learning
    Desai, Nitin
    Punnekkat, Sasikumar
    2020 INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), 2020,
  • [44] Detection of Anomalous Behavior of Smartphone Devices using Changepoint Analysis and Machine Learning Techniques
    Sanchez, Ricardo Alejandro Manzano
    Naik, Kshirasagar
    Albasir, Abdurhman
    Zaman, Marzia
    Goel, Nishith
    DIGITAL THREATS: RESEARCH AND PRACTICE, 2023, 4 (01):
  • [45] A microfluidic biosensor for online and sensitive detection of Salmonella typhimurium using fluorescence labeling and smartphone video processing
    Wang, Siyuan
    Zheng, Lingyan
    Cai, Gaozhe
    Liu, Ning
    Liao, Ming
    Li, Yanbin
    Zhang, Xibin
    Lin, Jianhan
    BIOSENSORS & BIOELECTRONICS, 2019, 140 : 69 - 76
  • [46] Machine-Learning-Based Colorimetric Sensor on Smartphone for Salivary Uric Acid Detection
    Liu, Weiran
    Liu, Shixian
    Fan, Kexin
    Li, Zijian
    Guo, Zijun
    Cheng, Davy
    Liu, Guozhen
    IEEE SENSORS JOURNAL, 2024, 24 (20) : 32991 - 33000
  • [47] Quantifying colorimetric tests using a smartphone app based on machine learning classifiers
    Solmaz, Mehmet E.
    Mutlu, Ali Y.
    Alankus, Gazihan
    Kilic, Volkan
    Bayram, Abdullah
    Horzum, Nesrin
    SENSORS AND ACTUATORS B-CHEMICAL, 2018, 255 : 1967 - 1973
  • [48] Smartphone-based Recognition of Human Activities using Shallow Machine Learning
    Alhumayyani, Maha Mohammed
    Mounir, Mahmoud
    Ismael, Rasha
    INTERNATIONAL JOURNAL OF ADVANCED COMPUTER SCIENCE AND APPLICATIONS, 2021, 12 (04) : 77 - 85
  • [49] Single Nanoparticle and Virus Detection Using a Smart Phone Based Fluorescence Microscope
    Wei, Qingshan
    Qi, Hangfei
    Luo, Wei
    Tseng, Derek
    Bentolila, Laurent A.
    Wu, Ting-Ting
    Sun, Ren
    Ozcan, Aydogan
    2014 CONFERENCE ON LASERS AND ELECTRO-OPTICS (CLEO), 2014,
  • [50] Improving sensitivity of mercury detection using learning based smartphone colorimetry
    Sajed, S.
    Arefi, F.
    Kolahdouz, M.
    Sadeghi, M. A.
    SENSORS AND ACTUATORS B-CHEMICAL, 2019, 298