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

Tope Agbana; Patrick Nijman; M.D.B. Hoeboer; D.N.  van Grootheest; Angela van Diepen; Lisette van Lieshout; Jan-Carel Diehl; Michel Verhaegen; Gleb Vdovin

doi:10.1117/12.2545220

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

Tope Agbana, Patrick Nijman, M.D.B. Hoeboer, D.N. van Grootheest, Angela van Diepen, Lisette van Lieshout, Jan-Carel Diehl, Michel Verhaegen, Gleb Vdovin

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

10 Citations (Scopus)

204 Downloads (Pure)

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.

Original language	English
Title of host publication	Proceedings of SPIE
Subtitle of host publication	Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics
Editors	Gerard L. Coté
Place of Publication	Bellingham, WA, USA
Publisher	SPIE
Number of pages	10
Volume	11247
ISBN (Print)	978-1-5106-3257-8
DOIs	https://doi.org/10.1117/12.2545220
Publication status	Published - 2020
Event	SPIE BiOS: Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics - The Moscone Center, San Francisco,California, United States Duration: 1 Feb 2020 → 6 Feb 2020 https://spie.org/conferences-and-exhibitions/photonics-west/bios?SSO=1

Publication series

Name	Progress in Biomedical Optics and Imaging - Proceedings of SPIE
Volume	11247
ISSN (Print)	1605-7422

Conference

Conference	SPIE BiOS
Country/Territory	United States
City	San Francisco,California
Period	1/02/20 → 6/02/20
Internet address	https://spie.org/conferences-and-exhibitions/photonics-west/bios?SSO=1

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 3 Good Health and Well-being

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10.1117/12.2545220

112470FFinal published version, 3.85 MB

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Agbana, T., Nijman, P., Hoeboer, M. D. B., van Grootheest, D. N., van Diepen, A., van Lieshout, L., Diehl, J.-C., Verhaegen, M., & Vdovin, G. (2020). Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study. In G. L. Coté (Ed.), Proceedings of SPIE: Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics (Vol. 11247). Article 112470F (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11247). SPIE. https://doi.org/10.1117/12.2545220

Agbana, Tope ; Nijman, Patrick ; Hoeboer, M.D.B. et al. / Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study. Proceedings of SPIE: Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics. editor / Gerard L. Coté. Vol. 11247 Bellingham, WA, USA : SPIE, 2020. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).

@inproceedings{3e7c414e60ad41f4993f58081d04c93b,

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

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.",

author = "Tope Agbana and Patrick Nijman and M.D.B. Hoeboer and \{van Grootheest\}, D.N. and \{van Diepen\}, Angela and \{van Lieshout\}, Lisette and Jan-Carel Diehl and Michel Verhaegen and Gleb Vdovin",

year = "2020",

doi = "10.1117/12.2545220",

language = "English",

isbn = "978-1-5106-3257-8",

volume = "11247",

series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",

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booktitle = "Proceedings of SPIE",

address = "United States",

note = "SPIE BiOS : Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics ; Conference date: 01-02-2020 Through 06-02-2020",

url = "https://spie.org/conferences-and-exhibitions/photonics-west/bios?SSO=1",

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Agbana, T, Nijman, P, Hoeboer, MDB, van Grootheest, DN, van Diepen, A, van Lieshout, L, Diehl, J-C, Verhaegen, M & Vdovin, G 2020, Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study. in GL Coté (ed.), Proceedings of SPIE: Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics. vol. 11247, 112470F, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, vol. 11247, SPIE, Bellingham, WA, USA, SPIE BiOS, San Francisco,California, United States, 1/02/20. https://doi.org/10.1117/12.2545220

Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study. / Agbana, Tope; Nijman, Patrick; Hoeboer, M.D.B. et al.
Proceedings of SPIE: Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics. ed. / Gerard L. Coté. Vol. 11247 Bellingham, WA, USA: SPIE, 2020. 112470F (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 11247).

Research output: Chapter in Book/Conference proceedings/Edited volume › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study

AU - Agbana, Tope

AU - Nijman, Patrick

AU - Hoeboer, M.D.B.

AU - van Grootheest, D.N.

AU - van Diepen, Angela

AU - van Lieshout, Lisette

AU - Diehl, Jan-Carel

AU - Verhaegen, Michel

AU - Vdovin, Gleb

PY - 2020

Y1 - 2020

N2 - 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.

AB - 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.

UR - https://www.scopus.com/pages/publications/85082664245

U2 - 10.1117/12.2545220

DO - 10.1117/12.2545220

M3 - Conference contribution

SN - 978-1-5106-3257-8

VL - 11247

T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE

BT - Proceedings of SPIE

A2 - Coté, Gerard L.

PB - SPIE

CY - Bellingham, WA, USA

T2 - SPIE BiOS

Y2 - 1 February 2020 through 6 February 2020

ER -

Agbana T, Nijman P, Hoeboer MDB, van Grootheest DN, van Diepen A, van Lieshout L et al. Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study. In Coté GL, editor, Proceedings of SPIE: Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics. Vol. 11247. Bellingham, WA, USA: SPIE. 2020. 112470F. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2545220

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

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