ArticleLab on a chip2014
A smartphone-based chip-scale microscope using ambient illumination.
Article 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 38 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
38 citing papers in PubMed.
- Deep-learning enabled rapid and low-cost detection of microplastics in consumer products following on-site extraction and image processing.RSC advances · 2025Article
- Advances in Portable Optical Microscopy Using Cloud Technologies and Artificial Intelligence for Medical Applications.Sensors (Basel, Switzerland) · 2024Review
- A smartphone serves as a data logger for a fully automated lab-constructed microfluidic system.MethodsX · 2024Article
- A commentary on the development and use of smartphone imaging devices.Biophysical reviews · 2024Article
- Smartphone-based platforms implementing microfluidic detection with image-based artificial intelligence.Nature communications · 2023Review
- Computer vision meets microfluidics: a label-free method for high-throughput cell analysis.Microsystems & nanoengineering · 2023Review
- Review
- Microscopic Imaging Methods for Organ-on-a-Chip Platforms.Micromachines · 2022Review
- Measurements of the swimming speeds of motile microorganisms using object tracking and their correlation with water pollution and rheology levels.Scientific reports · 2021Article
- Recent trends in smartphone-based detection for biomedical applications: a review.Analytical and bioanalytical chemistry · 2021Review
- Smartphone-Based Portable Bioluminescence Imaging System Enabling Observation at Various Scales from Whole Mouse Body to Organelle.Sensors (Basel, Switzerland) · 2020Article
- Controlling the behaviour of Drosophila melanogaster via smartphone optogenetics.Scientific reports · 2020Article
- Capillary-Driven Flow Microfluidics Combined with Smartphone Detection: An Emerging Tool for Point-of-Care Diagnostics.Diagnostics (Basel, Switzerland) · 2020Review
- Rapid Yeast Cell Viability Analysis by Using a Portable Microscope Based on the Fiber Optic Array and Simple Image Processing.Sensors (Basel, Switzerland) · 2020Article
- Biosensors for Personal Mobile Health: A System Architecture Perspective.Advanced materials technologies · 2020Article
- Low-cost, high-speed near infrared reflectance confocal microscope.Biomedical optics express · 2019Article
- Learning from droplet flows in microfluidic channels using deep neural networks.Scientific reports · 2019Article
- Interfacing Pathogen Detection with Smartphones for Point-of-Care Applications.Analytical chemistry · 2019Review
- Colorimetric-Luminance Readout for Quantitative Analysis of Fluorescence Signals with a Smartphone CMOS Sensor.Analytical chemistry · 2018Article
- "The Smartphone's Guide to the Galaxy": In Situ Analysis in Space.Biosensors · 2018Review
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Portable chip-scale microscopy devices can potentially address various imaging needs in mobile healthcare and environmental monitoring. Here, we demonstrate the adaptation of a smartphone's camera to function as a compact lensless microscope. Unlike other chip-scale microscopy schemes, this method uses ambient illumination as its light source and does not require the incorporation of a dedicated light source. The method is based on the shadow imaging technique where the sample is placed on the surface of the image sensor, which captures direct shadow images under illumination. To improve the image resolution beyond the pixel size, we perform pixel super-resolution reconstruction with multiple images at different angles of illumination, which are captured while the user is manually tilting the device around any ambient light source, such as the sun or a lamp. The lensless imaging scheme allows for sub-micron resolution imaging over an ultra-wide field-of-view (FOV). Image acquisition and reconstruction are performed on the device using a custom-built Android application, constructing a stand-alone imaging device for field applications. We discuss the construction of the device using a commercial smartphone and demonstrate the imaging capabilities of our system.
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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.