Enhancing the Yield of Lab-on-a-Disk Based Single Image Parasite Quantification Device

Vyacheslav R Misko; Ramadhani Juma Makasali; Matthieu Briet; Filip Legein; Bruno Levecke; Wim De Malsche

doi:10.20944/preprints202309.2136.v1

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preprints.org > biology and life sciences > parasitology > doi: 10.20944/preprints202309.2136.v1

Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Enhancing the Yield of Lab-on-a-Disk Based Single Image Parasite Quantification Device

Vyacheslav R Misko

Ramadhani Juma Makasali

Version 1 : Received: 29 September 2023 / Approved: 30 September 2023 / Online: 30 September 2023 (07:18:51 CEST)

A peer-reviewed article of this Preprint also exists.

Misko, V.R.; Makasali, R.J.; Briet, M.; Legein, F.; Levecke, B.; De Malsche, W. Enhancing the Yield of a Lab-on-a-Disk-Based Single-Image Parasite Quantification Device. Micromachines 2023, 14, 2087. Misko, V.R.; Makasali, R.J.; Briet, M.; Legein, F.; Levecke, B.; De Malsche, W. Enhancing the Yield of a Lab-on-a-Disk-Based Single-Image Parasite Quantification Device. Micromachines 2023, 14, 2087.

Abstract

A recently proposed single image parasite quantification (SIMPAQ) platform based on a Lab-On-a-Disc (LOD) device has been earlier successfully tested in field conditions demonstrating the efficiency in soil-transmitted helminths (STH) egg detection and analysis. A related study (Micromachines 2021, 12, 1032) revealed the effects that can limit the performance of a SIMPAQ method due to the action of the Euler and Coriolis forces, and the interaction of the moving eggs with the walls of the LOD chamber. Here we propose a new improved design that allows to overcome those limitations and enhance the yield of the SIMPAQ LOD device which is demonstrated in the experiments with synthetic particle model system and real parasite eggs.

Keywords

particle separation; parasite egg identification and quantification; diagnostic microfluidic device; extreme point-of-care

Subject

Biology and Life Sciences, Parasitology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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