ArticleMicrosystems & nanoengineering2024
SPEED: an integrated, smartphone-operated, handheld digital PCR Device for point-of-care testing.
Article in Microsystems & nanoengineering, 2024. 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
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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
11 citing papers in PubMed.
- Review
- Digital PCR in forensic genetics: principles, applications, and challenges.International journal of legal medicine · 2026Review
- A well-designed bridge probe with dual functions of recognition and transduction towards a universal LAMP system.Analytical sciences : the international journal of the Japan Society for Analytical Chemistry · 2026Article
- Low-power microfluidic RT-LAMP system with real-time fluorescence detection for portable nucleic acid testing.Mikrochimica acta · 2025Article
- Rapid Isothermal DNA Amplification in Microchambers Detected by Fluorescence RNA Aptamer Transcription.Diagnostics (Basel, Switzerland) · 2025Article
- Towards practical point-of-care quick, ubiquitous, integrated, cost-efficient molecular diagnostic Kit (QUICK) PCR for future pandemic response.Microsystems & nanoengineering · 2025Review
- Integration of Point-of-Care Technology in the Decoding Process of Single Nucleotide Polymorphism for Healthcare ApplicationMicromachines · 2025Review
- Direct single-molecule detection and super-resolution imaging with a low-cost portable smartphone-based microscope.Nature communications · 2025Article
- Fast, Simple Electrochromic Biosensors for Point-of-Use Infectious Disease Diagnosis.Analytical chemistry · 2025Article
- Microinjection molded microwell array-based portable digital PCR system for the detection of infectious respiratory viruses.Nano convergence · 2025Article
- Microfluidics chips fabrication techniques comparison.Scientific reports · 2024Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This study elaborates on the design, fabrication, and data analysis details of SPEED, a recently proposed smartphone-based digital polymerase chain reaction (dPCR) device. The dPCR chips incorporate partition diameters ranging from 50 μm to 5 μm, and these partitions are organized into six distinct blocks to facilitate image processing. Due to the superior thermal conductivity of Si and its potential for mass production, the dPCR chips were fabricated on a Si substrate. A temperature control system based on a high-power density Peltier element and a preheating/cooling PCR protocol user interface shortening the thermal cycle time. The optical design employs four 470 nm light-emitting diodes as light sources, with filters and mirrors effectively managing the light emitted during PCR. An algorithm is utilized for image processing and illumination nonuniformity correction including conversion to a monochromatic format, partition identification, skew correction, and the generation of an image correction mask. We validated the device using a range of deoxyribonucleic acid targets, demonstrating its potential applicability across multiple fields. Therefore, we provide guidance and verification of the design and testing of the recently proposed SPEED device.
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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.