ReviewJournal of Zhejiang University. Science. B2021
Applications of smartphone-based near-infrared (NIR) imaging, measurement, and spectroscopy technologies to point-of-care (POC) diagnostics.
Review in Journal of Zhejiang University. Science. B, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
11 citing papers in PubMed, 22 citations in OpenAlex.
- Advances in fluorescence-based point-of-care diagnostics: probes, nanostructures and integrated systems.Journal of materials chemistry. C · 2026Review
- Trends in Vibrational Spectroscopy: NIRS and Raman Techniques for Health and Food Safety Control.Sensors (Basel, Switzerland) · 2026Review
- Trends on vibrational spectroscopy tools in the agri-food sector.Analytical and bioanalytical chemistry · 2026Review
- Smartphones as Catalysts for Synergistic Nutrition: A New Era in Bioactive Detection, Personalization, and Food System Intelligence.Food science & nutrition · 2025Review
- Point-of-Care Testing for Cardiovascular Disease: A Narrative Review.Current medicinal chemistry · 2025Review
- Clinical Need for Point-of-Care Testing for Diabetes in Clinical and Laboratory Improvement Amendments-Waived Settings.Clinical diabetes : a publication of the American Diabetes Association · 2025Article
- A PCR Test Using the Mini-PCR Platform and Simplified Product Detection Methods Is Highly Sensitive and Specific to DetectPathogens (Basel, Switzerland) · 2024Article
- Red filter meibography by smartphones in patients with meibomian gland dysfunction: a validity and reliability study.BMJ open ophthalmology · 2024Article
- A commentary on the development and use of smartphone imaging devices.Biophysical reviews · 2024Article
- Portable NIR spectroscopy: the route to green analytical chemistry.Frontiers in chemistry · 2023Review
- Biosensors toward behavior detection in diagnosis of alzheimer's disease.Frontiers in bioengineering and biotechnology · 2022Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 3 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The role of point-of-care (POC) diagnostics is important in public health. With the support of smartphones, POC diagnostic technologies can be greatly improved. This opportunity has arisen from not only the large number and fast spread of cell-phones across the world but also their improved imaging/diagnostic functions. As a tool, the smartphone is regarded as part of a compact, portable, and low-cost system for real-time POC, even in areas with few resources. By combining near-infrared (NIR) imaging, measurement, and spectroscopy techniques, pathogens can be detected with high sensitivity. The whole process is rapid, accurate, and low-cost, and will set the future trend for POC diagnostics. In this review, the development of smartphone-based NIR fluorescent imaging technology was described, and the quality and potential of POC applications were discussed.
Indexed as
Identifiers
What OpenQuestion holds
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.