ArticleACS nano2014
Immunochromatographic diagnostic test analysis using Google Glass.
Article in ACS nano, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
34 citing papers in PubMed, 171 citations in OpenAlex.
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- Recent Progress in Wearable Biosensors: From Healthcare Monitoring to Sports Analytics.Biosensors · 2020Review
- Microfluidic Point-of-Care Testing: Commercial Landscape and Future Directions.Frontiers in bioengineering and biotechnology · 2020Review
- Developing Gold Nanoparticles-Conjugated Aflatoxin B1 Antifungal Strips.International journal of molecular sciences · 2019Article
- Towards Lateral Flow Quantitative Assays: Detection Approaches.Biosensors · 2019Review
- Wearable Woven Triboelectric Nanogenerator Utilizing Electrospun PVDF Nanofibers for Mechanical Energy Harvesting.Micromachines · 2019Article
- Accurate 3D Shape, Displacement and Deformation Measurement Using a Smartphone.Sensors (Basel, Switzerland) · 2019Article
- Inorganic Complexes and Metal-Based Nanomaterials for Infectious Disease Diagnostics.Chemical reviews · 2019Review
- Machine Learning Approach to Enhance the Performance of MNP-Labeled Lateral Flow Immunoassay.Nano-micro letters · 2019Article
- A Nanozyme- and Ambient Light-Based Smartphone Platform for Simultaneous Detection of Dual Biomarkers from Exposure to Organophosphorus Pesticides.Analytical chemistry · 2018Article
- Smartphone-Based Dual-Modality Imaging System for Quantitative Detection of Color or Fluorescent Lateral Flow Immunochromatographic Strips.Nanoscale research letters · 2017Article
- Using Google Glass in Nonsurgical Medical Settings: Systematic Review.JMIR mHealth and uHealth · 2017Article
- A smart device application for the automated determination ofEngineering in life sciences · 2017Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
Abstract
We demonstrate a Google Glass-based rapid diagnostic test (RDT) reader platform capable of qualitative and quantitative measurements of various lateral flow immunochromatographic assays and similar biomedical diagnostics tests. Using a custom-written Glass application and without any external hardware attachments, one or more RDTs labeled with Quick Response (QR) code identifiers are simultaneously imaged using the built-in camera of the Google Glass that is based on a hands-free and voice-controlled interface and digitally transmitted to a server for digital processing. The acquired JPEG images are automatically processed to locate all the RDTs and, for each RDT, to produce a quantitative diagnostic result, which is returned to the Google Glass (i.e., the user) and also stored on a central server along with the RDT image, QR code, and other related information (e.g., demographic data). The same server also provides a dynamic spatiotemporal map and real-time statistics for uploaded RDT results accessible through Internet browsers. We tested this Google Glass-based diagnostic platform using qualitative (i.e., yes/no) human immunodeficiency virus (HIV) and quantitative prostate-specific antigen (PSA) tests. For the quantitative RDTs, we measured activated tests at various concentrations ranging from 0 to 200 ng/mL for free and total PSA. This wearable RDT reader platform running on Google Glass combines a hands-free sensing and image capture interface with powerful servers running our custom image processing codes, and it can be quite useful for real-time spatiotemporal tracking of various diseases and personal medical conditions, providing a valuable tool for epidemiology and mobile health.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.