Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study

Conference paper (2020)

Authors

T.E. Agbana Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering

Patrick Nijman Student

M.D.B. Hoeboer Student

D.N. van Grootheest Student

Angela van Diepen Leiden University Medical Center

Lisette van Lieshout Leiden University Medical Center

J.C. Diehl Design for Sustainability -

M.H.G. Verhaegen Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering

Gleb Vdovin Team Raf Van de Plas - Mechanical, Maritime and Materials Engineering

Research Group

Team Raf Van de Plas (Mechanical, Maritime and Materials Engineering) (TU Delft)

DOI: https://doi.org/10.1117/12.2545220

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Published Date

2020

Language

English

Reuse Rights

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Faculty

Mechanical, Maritime and Materials Engineering

Department

Delft Center for Systems and Control

Research Group

Team Raf Van de Plas

Abstract

We present a simple method for the diagnosis of urinary schistosomiasis using an in-line lensless holographic microscope combined with flow cytometry technique. Using simple image processing algorithms and binary image classifier, our system provides automated detection of Schistosoma haematobium eggs in infected urine samples. Registered hologram is reconstructed by applying backpropagation from sensor to sample plane and reconstructed image is automatically analysed for the presence of S. haematobium eggs. Designed for use in a resource-poor laboratory setting, our proposed method has been implemented using a Raspberry Pi computer. From pre-clinical test performed with human urine samples spiked with S. haematobium eggs (approximately 200 eggs per 12 ml of urine), we achieved a sensitivity and specificity of 50.6% and 98.6% respectively. Our proposed method requires no complex sample preparation methods making the system simple to operate and useable in point-of-care diagnosis of urinary schistosomiasis.This method can be optimized to complement existing diagnostic procedures for the detection of S. haematobium eggs and can be deployed to inaccessible remote areas.

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