ReviewLab on a chip2014
Biomedical imaging and sensing using flatbed scanners.
Review in Lab on a chip, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 53 citations in OpenAlex.
- Bio-nanoparticles sensor couple with smartphone digital image colorimetry and dispersive liquid-liquid microextraction for aflatoxin B1 detection.Scientific reports · 2025Article
- Determining the optical properties of solar cells using low cost scanners.Scientific reports · 2022Article
- Technologies for Frugal and Sensitive Point-of-Care Immunoassays.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022Review
- Nano-functionalized paper-based IoT enabled devices for point-of-care testing: a review.Biomedical microdevices · 2021Review
- Recurrence monitoring for ovarian cancer using a cell phone-integrated paper device to measure the ovarian cancer biomarker HE4/CRE ratio in urine.Scientific reports · 2021Article
- Nonmechanical parfocal and autofocus features based on wave propagation distribution in lensfree holographic microscopy.Scientific reports · 2021Article
- Article
- Layer Contour Verification in Additive Manufacturing by Means of Commercial Flatbed Scanners.Sensors (Basel, Switzerland) · 2019Article
- A modular, open-source, slide-scanning microscope for diagnostic applications in resource-constrained settings.PloS one · 2018Article
- The μSCAPE System: 3-Dimensional Profiling of Microfluidic Architectural Features Using a Flatbed Scanner.Scientific reports · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors at 1 institution in 1 country.
Funding
Abstract
In this Review, we provide an overview of flatbed scanner based biomedical imaging and sensing techniques. The extremely large imaging field-of-view (e.g., ~600-700 cm(2)) of these devices coupled with their cost-effectiveness provide unique opportunities for digital imaging of samples that are too large for regular optical microscopes, and for collection of large amounts of statistical data in various automated imaging or sensing tasks. Here we give a short introduction to the basic features of flatbed scanners also highlighting the key parameters for designing scientific experiments using these devices, followed by a discussion of some of the significant examples, where scanner-based systems were constructed to conduct various biomedical imaging and/or sensing experiments. Along with mobile phones and other emerging consumer electronics devices, flatbed scanners and their use in advanced imaging and sensing experiments might help us transform current practices of medicine, engineering and sciences through democratization of measurement science and empowerment of citizen scientists, science educators and researchers in resource limited settings.
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.