ArticleThe American journal of tropical medicine and hygiene2016
Smartphone Microscopy of Parasite Eggs Accumulated into a Single Field of View.
Article in The American journal of tropical medicine and hygiene, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 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
14 citing papers in PubMed.
- NTDscope: A multi-contrast portable microscope for disease diagnosis.PLOS global public health · 2026Article
- Diagnosis of Human Trematode Infections.Advances in experimental medicine and biology · 2024Review
- Practical guide to the diagnostics of ruminant gastrointestinal nematodes, liver fluke and lungworm infection: interpretation and usability of results.Parasites & vectors · 2023Review
- A review on innovative optical devices for the diagnosis of human soil-transmitted helminthiasis and schistosomiasis: from research and development to commercialization.Parasitology · 2023Review
- Schistoscope: An Automated Microscope with Artificial Intelligence for Detection ofMicromachines · 2022Article
- Systematic Review and Meta-Analysis of the Diagnostic Accuracy of Mobile-Linked Point-of-Care Diagnostics in Sub-Saharan Africa.Diagnostics (Basel, Switzerland) · 2021Review
- Automated Diagnostics: Advances in the Diagnosis of Intestinal Parasitic Infections in Humans and Animals.Frontiers in veterinary science · 2021Review
- Preventive chemotherapy and anthelmintic resistance of soil-transmitted helminths - Can we learn nothing from veterinary medicine?One health (Amsterdam, Netherlands) · 2020Review
- Smartphone epifluorescence microscopy for cellular imaging of fresh tissue in low-resource settings.Biomedical optics express · 2020Article
- Comparison of McMaster and FECPAKParasites & vectors · 2018Article
- "Smart Diagnosis" of Parasitic Diseases by Use of Smartphones.Journal of clinical microbiology · 2018Review
- Mobile-phone and handheld microscopy for neglected tropical diseases.PLoS neglected tropical diseases · 2017Article
- Rationale for Quality Assurance in Fecal Egg Monitoring of Soil-Transmitted Helminthiasis.The American journal of tropical medicine and hygiene · 2016Article
- Improving the Sensitivity and Functionality of Mobile Webcam-Based Fluorescence Detectors for Point-of-Care Diagnostics in Global Health.Diagnostics (Basel, Switzerland) · 2016Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
A Nokia Lumia 1020 cellular phone (Microsoft Corp., Auckland, New Zealand) was configured to image the ova of Ascaris lumbricoides converged into a single field of view but on different focal planes. The phone was programmed to acquire images at different distances and, using public domain computer software, composite images were created that brought all the eggs into sharp focus. This proof of concept informs a framework for field-deployable, point of care monitoring of soil-transmitted helminths.
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.