Single-Imaging Parasite-Quantification Microfluidic Device for Detection and Analysis of Schistosoma Eggs in Urine

The accurate diagnosis of schistosomiasis for effective disease surveillance, treatment, and follow-up is crucial to attain the World Health Organization's 2030 goal to eliminate schistosomiasis as a public health problem. The current diagnostic tools for urinary schistosomiasis, including the gold standard urine filtration test, have been reported to show low sensitivity in detecting low-intensity infections, which, when missed, act as reservoirs for infections-an evident gap in endemic areas where preventive chemotherapy reduces infection intensities. This study assessed the laboratory-based performance of the newly developed urinary Single Imaging Parasite Quantification chip for <i>Schistosoma haematobium</i> egg detection across different infection intensities. Two designs of the urinary chips were evaluated using polystyrene particles as a model for <i>Schistosoma haematobium</i> eggs, where the prototype design effectively captured the particles in the field of view with 96.00% to 100% efficiency. The second-generation chip, while eliminating the need for the air-drying step that was necessary in the operation of the prototype chip, similarly showed high capture efficiencies (95.20% to 96.00%). Overall, the prototype chip slightly outperformed the second-generation chip, and this difference was statistically significant (unpaired <i>t</i>-test, <i>p</i> = 0.0319). Testing of the prototype chip with spiked goat urine maintained high efficiencies of 99.33% to 100%. Similarly, both chip designs could trap real <i>Schistosoma haematobium</i> eggs in their fields of view, demonstrating their potential as diagnostic platforms that can contribute to improved diagnostics, disease surveillance, and monitoring.

Authors

Institutions

Publication Details

Journal
Micromachines
Published
2026-02-22
DOI
https://doi.org/10.3390/mi17020270
Primary Topic
Parasites and Host Interactions
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Single-Imaging Parasite-Quantification Microfluidic Device for Detection and Analysis of Schistosoma Eggs in Urine

Matthieu Briet, Jeffer Bhuko, Wim De Malsche, V. R. Misko et al.
Micromachines
Parasites and Host Interactions
article

Single-Imaging Parasite-Quantification Microfluidic Device for Detection and Analysis of Schistosoma Eggs in Urine

Matthieu Briet, Jeffer Bhuko, Wim De Malsche, V. R. Misko, Filip Legein, Heaven David Chitemo, Humphrey D. Mazigo
article en

Abstract

The accurate diagnosis of schistosomiasis for effective disease surveillance, treatment, and follow-up is crucial to attain the World Health Organization's 2030 goal to eliminate schistosomiasis as a public health problem. The current diagnostic tools for urinary schistosomiasis, including the gold standard urine filtration test, have been reported to show low sensitivity in detecting low-intensity infections, which, when missed, act as reservoirs for infections-an evident gap in endemic areas where preventive chemotherapy reduces infection intensities. This study assessed the laboratory-based performance of the newly developed urinary Single Imaging Parasite Quantification chip for <i>Schistosoma haematobium</i> egg detection across different infection intensities. Two designs of the urinary chips were evaluated using polystyrene particles as a model for <i>Schistosoma haematobium</i> eggs, where the prototype design effectively captured the particles in the field of view with 96.00% to 100% efficiency. The second-generation chip, while eliminating the need for the air-drying step that was necessary in the operation of the prototype chip, similarly showed high capture efficiencies (95.20% to 96.00%). Overall, the prototype chip slightly outperformed the second-generation chip, and this difference was statistically significant (unpaired <i>t</i>-test, <i>p</i> = 0.0319). Testing of the prototype chip with spiked goat urine maintained high efficiencies of 99.33% to 100%. Similarly, both chip designs could trap real <i>Schistosoma haematobium</i> eggs in their fields of view, demonstrating their potential as diagnostic platforms that can contribute to improved diagnostics, disease surveillance, and monitoring.

MicromachinesVol. 17(2)
Vrije Universiteit Brussel (BE), Catholic University of Health and Allied Sciences (TZ)
Vrije Universiteit Brussel, Jimma University, Vlaamse Interuniversitaire Raad, VLIRUOS, University of Health and Allied Sciences
Good health and well-being
Openalex Percentile: Top 44%
Parasites and Host Interactions
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.