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Improving the Sensitivity and Functionality of Mobile Webcam-Based Fluorescence Detectors for Point-of-Care Diagnostics in Global Health
- Source :
- Diagnostics, Diagnostics, Vol 6, Iss 2, p 19 (2016)
- Publication Year :
- 2016
- Publisher :
- MDPI, 2016.
-
Abstract
- Resource-poor countries and regions require effective, low-cost diagnostic devices for accurate identification and diagnosis of health conditions. Optical detection technologies used for many types of biological and clinical analysis can play a significant role in addressing this need, but must be sufficiently affordable and portable for use in global health settings. Most current clinical optical imaging technologies are accurate and sensitive, but also expensive and difficult to adapt for use in these settings. These challenges can be mitigated by taking advantage of affordable consumer electronics mobile devices such as webcams, mobile phones, charge-coupled device (CCD) cameras, lasers, and LEDs. Low-cost, portable multi-wavelength fluorescence plate readers have been developed for many applications including detection of microbial toxins such as C. Botulinum A neurotoxin, Shiga toxin, and S. aureus enterotoxin B (SEB), and flow cytometry has been used to detect very low cell concentrations. However, the relatively low sensitivities of these devices limit their clinical utility. We have developed several approaches to improve their sensitivity presented here for webcam based fluorescence detectors, including (1) image stacking to improve signal-to-noise ratios; (2) lasers to enable fluorescence excitation for flow cytometry; and (3) streak imaging to capture the trajectory of a single cell, enabling imaging sensors with high noise levels to detect rare cell events. These approaches can also help to overcome some of the limitations of other low-cost optical detection technologies such as CCD or phone-based detectors (like high noise levels or low sensitivities), and provide for their use in low-cost medical diagnostics in resource-poor settings.
- Subjects :
- Fluorescence-lifetime imaging microscopy
Engineering
Clinical Biochemistry
ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
global health
pixel binning
02 engineering and technology
Review
01 natural sciences
CCD cameras
fluorescence imaging
Computer vision
Electronics
image enhancement
mobile phones
background subtraction
Background subtraction
lcsh:R5-920
business.industry
flow cytometry
010401 analytical chemistry
Detector
webcams
rare cells
021001 nanoscience & nanotechnology
0104 chemical sciences
Focus stacking
Identification (information)
resource-poor settings
Artificial intelligence
Noise (video)
0210 nano-technology
business
lcsh:Medicine (General)
Mobile device
Computer hardware
Subjects
Details
- Language :
- English
- ISSN :
- 20754418
- Volume :
- 6
- Issue :
- 2
- Database :
- OpenAIRE
- Journal :
- Diagnostics
- Accession number :
- edsair.doi.dedup.....1fc3a2e648d7c32e0df93e3c479e8dac