Literature DB >> 22255900

Wide-field fluorescent microscopy on a cell-phone.

Hongying Zhu1, Oguzhan Yaglidere, Ting-Wei Su, Derek Tseng, Aydogan Ozcan.   

Abstract

We demonstrate wide-field fluorescent imaging on a cell-phone, using compact and cost-effective optical components that are mechanically attached to the existing camera unit of the cell-phone. Battery powered light-emitting diodes (LEDs) are used to side-pump the sample of interest using butt-coupling. The pump light is guided within the sample cuvette to excite the specimen uniformly. The fluorescent emission from the sample is then imaged with an additional lens that is put in front of the existing lens of the cell-phone camera. Because the excitation occurs through guided waves that propagate perpendicular to the detection path, an inexpensive plastic color filter is sufficient to create the dark-field background needed for fluorescent imaging. The imaging performance of this light-weight platform (~28 grams) is characterized with red and green fluorescent microbeads, achieving an imaging field-of-view of ~81 mm(2) and a spatial resolution of ~10 μm, which is enhanced through digital processing of the captured cell-phone images using compressive sampling based sparse signal recovery. We demonstrate the performance of this cell-phone fluorescent microscope by imaging labeled white-blood cells separated from whole blood samples as well as water-borne pathogenic protozoan parasites such as Giardia Lamblia cysts.

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Year:  2011        PMID: 22255900     DOI: 10.1109/IEMBS.2011.6091677

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  12 in total

1.  Applications of smartphone-based near-infrared (NIR) imaging, measurement, and spectroscopy technologies to point-of-care (POC) diagnostics.

Authors:  Wenjing Huang; Shenglin Luo; Dong Yang; Sheng Zhang
Journal:  J Zhejiang Univ Sci B       Date:  2021-03-15       Impact factor: 3.066

2.  Orthographic projection capillary array fluorescent sensor for mHealth.

Authors:  Joshua Balsam; Hugh Alan Bruck; Avraham Rasooly
Journal:  Methods       Date:  2013-09-07       Impact factor: 3.608

3.  Rapid infectious diseases diagnostics using Smartphones.

Authors:  Matthew Bates; Alimuddin Zumla
Journal:  Ann Transl Med       Date:  2015-09

4.  Simultaneous multicolor imaging of wide-field epi-fluorescence microscopy with four-bucket detection.

Authors:  Kwan Seob Park; Dong Uk Kim; Jooran Lee; Geon Hee Kim; Ki Soo Chang
Journal:  Biomed Opt Express       Date:  2016-05-19       Impact factor: 3.732

Review 5.  "Smart Diagnosis" of Parasitic Diseases by Use of Smartphones.

Authors:  Muhammad A Saeed; Abdul Jabbar
Journal:  J Clin Microbiol       Date:  2017-12-26       Impact factor: 5.948

6.  Thousand-fold fluorescent signal amplification for mHealth diagnostics.

Authors:  Joshua Balsam; Reuven Rasooly; Hugh Alan Bruck; Avraham Rasooly
Journal:  Biosens Bioelectron       Date:  2013-07-17       Impact factor: 10.618

7.  Capillary Array Waveguide Amplified Fluorescence Detector for mHealth.

Authors:  Joshua Balsam; Hugh Alan Bruck; Avraham Rasooly
Journal:  Sens Actuators B Chem       Date:  2013-09       Impact factor: 7.460

8.  A Simple Imaging Device for Fluorescence-Relevant Applications.

Authors:  Shih-Jie Lo; Chen-Meng Kuan; Min-Wei Hung; Yun Fu; J Andrew Yeh; Da-Jeng Yao; Chao-Min Cheng
Journal:  Micromachines (Basel)       Date:  2018-08-20       Impact factor: 2.891

9.  Malaria Diagnosis Using a Mobile Phone Polarized Microscope.

Authors:  Casey W Pirnstill; Gerard L Coté
Journal:  Sci Rep       Date:  2015-08-25       Impact factor: 4.379

Review 10.  Improving the Sensitivity and Functionality of Mobile Webcam-Based Fluorescence Detectors for Point-of-Care Diagnostics in Global Health.

Authors:  Reuven Rasooly; Hugh Alan Bruck; Joshua Balsam; Ben Prickril; Miguel Ossandon; Avraham Rasooly
Journal:  Diagnostics (Basel)       Date:  2016-05-17
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