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Proceedings Paper

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

Paper Details

Date Published: 14 February 2020
PDF: 9 pages
Proc. SPIE 11247, Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics, 112470F (14 February 2020); doi: 10.1117/12.2545220
Show Author Affiliations
Temitope Agbana, Technische Univ. Delft (Netherlands)
Patrick Nijman, Technische Univ. Delft (Netherlands)
Max Hoeber, Technische Univ. Delft (Netherlands)
Derk van Grootheest, Technische Univ. Delft (Netherlands)
Angela van Diepen, Technische Univ. Delft (Netherlands)
Lisette van Lieshout, Leiden Univ. Medical Ctr. (Netherlands)
Jan-Carel Diehl, Technische Univ. Delft (Netherlands)
Michel Verhaegen, Technische Univ. Delft (Netherlands)
Gleb Vdovine, Technische Univ. Delft (Netherlands)

Published in SPIE Proceedings Vol. 11247:
Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics
Gerard L. Coté, Editor(s)

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