Evidence map›Paper›PMID 35640088›Full record

ReviewACS sensors2022

Fluorescence Sensing Technologies for Ophthalmic Diagnosis.

Yuqi Shi, Yubing Hu, Nan Jiang, Ali K Yetisen

Erratum issuedAbstract readReview
In one paragraph

Review in ACS sensors, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

11 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. From Lab to Life: Self-Powered Sweat Sensors and Their Future in Personal Health Monitoring.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Yuqi ShiDepartment of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, United Kingdom.
Yubing HuDepartment of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, United Kingdom.ORCID 0000-0003-3083-0067
Nan JiangWest China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu 610041, China.
Ali K YetisenDepartment of Chemical Engineering, Imperial College London, South Kensington, London, SW7 2BU, United Kingdom.ORCID 0000-0003-0896-267X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Personalized and point-of-care (POC) diagnoses are critical for ocular physiology and disease diagnosis. Real-time monitoring and continuous sampling abilities of tear fluid and user-friendliness have become the key characteristics for the applied ophthalmic techniques. Fluorescence technologies, as one of the most popular methods that can fulfill the requirements of clinical ophthalmic applications for optical sensing, have been raised and applied for tear sensing and diagnostic platforms in recent decades. Wearable sensors in this case have been increasingly developed for ocular diagnosis. Contact lenses, as one of the commercialized and popular tools for ocular dysfunction, have been developed as a platform for fluorescence sensing in tears diagnostics and real-time monitoring. Numbers of biochemical analytes have been examined through developed fluorescent contact lens sensors, including pH values, electrolytes, glucose, and enzymes. These sensors have been proven for monitoring ocular conditions, enhancing and detecting medical treatments, and tracking efficiency of related ophthalmic surgeries at POC settings. This review summarizes the applied ophthalmic fluorescence sensing technologies in tears for ocular diagnosis and monitoring. In addition, the cooperation of fabricated fluorescent sensor with mobile phone readout devices for diagnosing ocular diseases with specific biomarkers continuously is also discussed. Further perspectives for the developments and applications of fluorescent ocular sensing and diagnosing technologies are also provided.

Indexed as

Biosensing TechniquesContact LensesElectrolytesGlucoseTearsElectrolytesGlucoseContact lens sensorsFluorescence biosensingFluorescence imagingFluorescent tear diagnosisOcular diseasesOphthalmological diagnosticsPoint-of-CareSmartphone readout devicesTear monitoring

Identifiers

PMID35640088
PMCPMC9237824

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.