ArticleProceedings of the National Academy of Sciences of the United States of America2015
Digital diffraction analysis enables low-cost molecular diagnostics on a smartphone.
Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
43 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital Health Strategies for Cervical Cancer Control in Low- and Middle-Income Countries: Systematic Review of Current Implementations and Gaps in Research.Journal of medical Internet research · 2021Pooled it
- Integrated Multi-Channel Automatic Cellular Profiling (iMAP) System for Cholangiocarcinoma Diagnosis.Small (Weinheim an der Bergstrasse, Germany) · 2026Article
- MIDAS: rapid, multiplexed molecular profiling for integrated host-pathogen analysis.Nature communications · 2025Article
- Smartphone-based biosensing: a review of optical imaging, microfluidic integration, and AI-enhanced analysis.Mikrochimica acta · 2025Review
- Diffraction-informed deep learning for molecular-specific holograms of breast cancer cells.APL bioengineering · 2025Article
- Multi-Channel Cellytics for Rapid and Cost-Effective Monitoring of Leukocyte Activation.Biosensors · 2025Article
- Microfluidic platforms for monitoring cardiomyocyte electromechanical activity.Microsystems & nanoengineering · 2025Review
- Domain-Agnostic Representation of Side-Channels.Entropy (Basel, Switzerland) · 2024Review
- Deep learning-assisted smartphone-based quantitative microscopy for label-free peripheral blood smear analysis.Biomedical optics express · 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
- Article
- Multiplexed imaging in oncology.Nature biomedical engineering · 2022Review
- Computational Optics for Point-of-Care Breast Cancer Profiling.Methods in molecular biology (Clifton, N.J.) · 2022Article
- Biological characteristics and biomarkers of novel SARS-CoV-2 facilitated rapid development and implementation of diagnostic tools and surveillance measures.Biosensors & bioelectronics · 2021Review
- A Smartphone-Fluidic Digital Imaging Analysis System for Pancreatic Islet Mass Quantification.Frontiers in bioengineering and biotechnology · 2021Article
- Quantitative Screening of Cervical Cancers for Low-Resource Settings: Pilot Study of Smartphone-Based Endoscopic Visual Inspection After Acetic Acid Using Machine Learning Techniques.JMIR mHealth and uHealth · 2020Article
- Side-Channel Sensing: Exploiting Side-Channels to Extract Information for Medical Diagnostics and Monitoring.IEEE journal of translational engineering in health and medicine · 2020Article
- Compact and Filter-Free Luminescence Biosensor for MobileACS nano · 2019Article
- Low-cost, high-speed near infrared reflectance confocal microscope.Biomedical optics express · 2019Article
Corrections and comments
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Authors and funding
16 authors.
Funding
Abstract
The widespread distribution of smartphones, with their integrated sensors and communication capabilities, makes them an ideal platform for point-of-care (POC) diagnosis, especially in resource-limited settings. Molecular diagnostics, however, have been difficult to implement in smartphones. We herein report a diffraction-based approach that enables molecular and cellular diagnostics. The D3 (digital diffraction diagnosis) system uses microbeads to generate unique diffraction patterns which can be acquired by smartphones and processed by a remote server. We applied the D3 platform to screen for precancerous or cancerous cells in cervical specimens and to detect human papillomavirus (HPV) DNA. The D3 assay generated readouts within 45 min and showed excellent agreement with gold-standard pathology or HPV testing, respectively. This approach could have favorable global health applications where medical access is limited or when pathology bottlenecks challenge prompt diagnostic readouts.
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Registered trials
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