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Review
. 2023 Feb;150(2):137-149.
doi: 10.1017/S0031182022001664. Epub 2022 Dec 9.

A review on innovative optical devices for the diagnosis of human soil-transmitted helminthiasis and schistosomiasis: from research and development to commercialization

Brice Meulah  1   2 , Michel Bengtson  1 , Lisette Van Lieshout  1 , Cornelis Hendrik Hokke  1 , Andrea Kreidenweiss  3   4 , Jan-Carel Diehl  5 , Ayola Akim Adegnika  1   2   3   4 , Temitope Ebenezer Agbana  6
Affiliations
Review

A review on innovative optical devices for the diagnosis of human soil-transmitted helminthiasis and schistosomiasis: from research and development to commercialization

Brice Meulah et al. Parasitology. 2023 Feb.

Abstract

Diagnosis of soil-transmitted helminth (STH) and schistosome infections relies largely on conventional microscopy which has limited sensitivity, requires highly trained personnel and is error-prone. Rapid advances in miniaturization of optical systems, sensors and processors have enhanced research and development of digital and automated microscopes suitable for the detection of these diseases in resource-limited settings. While some studies have reported proof-of-principle results, others have evaluated the performance of working prototypes in field settings. The extensive commercialization of these innovative devices has, however, not yet been achieved. This review provides an overview of recent publications (2010–2022) on innovative field applicable optical devices which can be used for the diagnosis of STH and schistosome infections. Using an adapted technology readiness level (TRL) scale taking into account the WHO target product profile (TPP) for these diseases, the developmental stages of the devices were ranked to determine the readiness for practical applications in field settings. From the reviewed 18 articles, 19 innovative optical devices were identified and ranked. Almost all of the devices (85%) were ranked with a TRL score below 8 indicating that, most of the devices are not ready for commercialization and field use. The potential limitations of these innovative devices were discussed. We believe that the outcome of this review can guide the end-to-end development of automated digital microscopes aligned with the WHO TPP for the diagnosis of STH and schistosome infections in resource-limited settings.

Keywords: Artificial intelligence; diagnosis; digital microscopes; helminths; innovation; optical devices; schistosomiasis; soil-transmitted helminthiasis.

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Conflict of interest statement

None.

Figures

None
Graphical abstract
Fig. 1.
Fig. 1.
The 9-scale TRL classification chart. Image adapted from Bruno et al. (2020). TPP, target product profile.
See this image and copyright information in PMC

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References

    1. Agbana TE, Diehl JC, Van Pul F, Khan SM, Patlan V, Verhaegen M and Vdovin G (2018) Imaging & identification of malaria parasites using cellphone microscope with a ball lens. PLoS ONE 13, e0205020. - PMC - PubMed
    1. Agbana TE, Nijman P, Hoeber M, Van Grootheest D, Van Diepen A, Van Lieshout L, Diehl J-C, Verhaegen M, Vdovine G and Coté GL (2020) Detection of Schistosoma haematobium using lensless imaging and flow cytometry, a proof of principle study. Optical Diagnostics and Sensing XX: Toward Point-of-Care Diagnostics.
    1. Ajibola O, Gulumbe BH, Eze AA and Obishakin E (2018) Tools for detection of schistosomiasis in resource limited settings. Medical Sciences 6, 39. - PMC - PubMed
    1. Alva A, Cangalaya C, Quiliano M, Krebs C, Gilman RH, Sheen P and Zimic M (2017) Mathematical algorithm for the automatic recognition of intestinal parasites. PLoS ONE 12, e0175646. - PMC - PubMed
    1. Amoah AS, Hoekstra PT, Casacuberta-Partal M, Coffeng LE, Corstjens PLAM, Greco B, Van Lieshout L, Lim MD, Markwalter CF, Odiere MR, Reinhard-Rupp J, Roestenberg M, Stothard R, Tchuem Tchuenté L-A, De Vlas SJ and Van Dam GJ (2020) Sensitive diagnostic tools and targeted drug administration strategies are needed to eliminate schistosomiasis. The Lancet Infectious Diseases 20, e165–e172. - PubMed

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