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
来源：
OPTICS AND BIOPHOTONICS IN LOW-RESOURCE SETTINGS II | 2016年 / 9699卷
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
  • [21] Norovirus detection in water samples at the level of single virus copies per microliter using a smartphone-based fluorescence microscope
    Soo Chung
    Lane E. Breshears
    Alana Gonzales
    Christian M. Jennings
    Christina M. Morrison
    Walter Q. Betancourt
    Kelly A. Reynolds
    Jeong-Yeol Yoon
    Nature Protocols, 2021, 16 : 1452 - 1475
  • [22] Myelin detection in fluorescence microscopy images using machine learning
    Yetis, Sibel Cimen
    Capar, Abdulkerim
    Ekinci, Dursun A.
    Ayten, Umut E.
    Kerman, Bilal E.
    Toreyin, B. Ugur
    JOURNAL OF NEUROSCIENCE METHODS, 2020, 346
  • [23] Optimized hybrid machine learning approach for smartphone based diabetic retinopathy detection
    Gupta, Shubhi
    Thakur, Sanjeev
    Gupta, Ashutosh
    MULTIMEDIA TOOLS AND APPLICATIONS, 2022, 81 (10) : 14475 - 14501
  • [24] A machine learning tool for smartphone-based rapid detection of tomato diseases
    Sentil, S.
    Choudhary, M.
    Paret, M. L.
    PHYTOPATHOLOGY, 2021, 111 (09)
  • [25] Cruising-for-Parking Detection on the Smartphone Based on Implicit Interaction and Machine Learning
    Bisante, Alba
    Panizzi, Emanuele
    Zeppieri, Stefano
    PROCEEDINGS OF THE 15TH INTERNATIONAL CONFERENCE ON AUTOMOTIVE USER INTERFACES AND INTERACTIVE VEHICULAR APPLICATIONS, AUTOMOTIVEUI 2023, 2023, : 93 - 102
  • [26] Optimized hybrid machine learning approach for smartphone based diabetic retinopathy detection
    Shubhi Gupta
    Sanjeev Thakur
    Ashutosh Gupta
    Multimedia Tools and Applications, 2022, 81 : 14475 - 14501
  • [27] Real-time detection system for smartphone zombie based on machine learning
    Wada, Tomotaka
    Shikishima, Akito
    IEICE COMMUNICATIONS EXPRESS, 2020, 9 (07): : 268 - 273
  • [28] SpiroConfidence: Determining the Validity of Smartphone Based Spirometry Using Machine Learning
    Viswanath, Varun
    Garrison, Jake
    Patel, Shwetak
    2018 40TH ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC), 2018, : 5499 - 5502
  • [29] A CCD-based fluorescence imaging system for real-time loop-mediated isothermal amplification-based rapid and sensitive detection of waterborne pathogens on microchips
    Ahmad, Farhan
    Seyrig, Gregoire
    Tourlousse, Dieter M.
    Stedtfeld, Robert D.
    Tiedje, James M.
    Hashsham, Syed A.
    BIOMEDICAL MICRODEVICES, 2011, 13 (05) : 929 - 937
  • [30] A CCD-based fluorescence imaging system for real-time loop-mediated isothermal amplification-based rapid and sensitive detection of waterborne pathogens on microchips
    Farhan Ahmad
    Gregoire Seyrig
    Dieter M. Tourlousse
    Robert D. Stedtfeld
    James M. Tiedje
    Syed A. Hashsham
    Biomedical Microdevices, 2011, 13
12345