Literature DB >> 35344927

Point-of-Care Sample Preparation and Automated Quantitative Detection of Schistosoma haematobium Using Mobile Phone Microscopy.

Maxim Armstrong1,2, Andrew R Harris1,3, Michael V D'Ambrosio1, Jean T Coulibaly4,5, Samuel Essien-Baidoo6, Richard K D Ephraim6, Jason R Andrews7, Isaac I Bogoch8, Daniel A Fletcher1,9,10.   

Abstract

Schistosoma haematobium continues to pose a significant public health burden despite ongoing global control efforts. One of several barriers to sustained control (and ultimately elimination) is the lack of access to highly sensitive diagnostic or screening tools that are inexpensive, rapid, and can be used at the point of sample collection. Here, we report an automated point-of-care diagnostic based on mobile phone microscopy that rapidly images and identifies S. haematobium eggs in urine samples. Parasite eggs are filtered from urine within a specialized, inexpensive cartridge that is then automatically imaged by the mobile phone microscope (the "SchistoScope"). Parasite eggs are captured at a constriction point in the tapered cartridge for easy imaging, and the automated quantification of eggs is obtained upon analysis of the images by an algorithm. We demonstrate S. haematobium egg detection with greater than 90% sensitivity and specificity using this device compared with the field gold standard of conventional filtration and microscopy. With simple sample preparation and image analysis on a mobile phone, the SchistoScope combines the diagnostic performance of conventional microscopy with the analytic performance of an expert technician. This portable device has the potential to provide rapid and quantitative diagnosis of S. haematobium to advance ongoing control efforts.

Entities:  

Year:  2022        PMID: 35344927      PMCID: PMC9128700          DOI: 10.4269/ajtmh.21-1071

Source DB:  PubMed          Journal:  Am J Trop Med Hyg        ISSN: 0002-9637            Impact factor:   3.707


  16 in total

1.  Cost analysis of tests for the detection of Schistosoma mansoni infection in children in western Kenya.

Authors:  Caitlin M Worrell; Monina Bartoces; Diana M S Karanja; Elizabeth A Ochola; Daniel O Matete; Pauline N M Mwinzi; Susan P Montgomery; W Evan Secor
Journal:  Am J Trop Med Hyg       Date:  2015-04-13       Impact factor: 2.345

2.  Object Detection With Deep Learning: A Review.

Authors:  Zhong-Qiu Zhao; Peng Zheng; Shou-Tao Xu; Xindong Wu
Journal:  IEEE Trans Neural Netw Learn Syst       Date:  2019-01-28       Impact factor: 10.451

3.  Two new field techniques for detection and counting of Schistosoma haematobium eggs in urine samples, with an evaluation of both methods.

Authors:  B C Dazo; J E Biles
Journal:  Bull World Health Organ       Date:  1974       Impact factor: 9.408

4.  Point-of-care quantification of blood-borne filarial parasites with a mobile phone microscope.

Authors:  Michael V D'Ambrosio; Matthew Bakalar; Sasisekhar Bennuru; Clay Reber; Arunan Skandarajah; Lina Nilsson; Neil Switz; Joseph Kamgno; Sébastien Pion; Michel Boussinesq; Thomas B Nutman; Daniel A Fletcher
Journal:  Sci Transl Med       Date:  2015-05-06       Impact factor: 17.956

5.  Diagnosis of Schistosoma haematobium infection with a mobile phone-mounted Foldscope and a reversed-lens CellScope in Ghana.

Authors:  Richard K D Ephraim; Evans Duah; James S Cybulski; Manu Prakash; Michael V D'Ambrosio; Daniel A Fletcher; Jennifer Keiser; Jason R Andrews; Isaac I Bogoch
Journal:  Am J Trop Med Hyg       Date:  2015-04-27       Impact factor: 2.345

6.  Use of circulating cathodic antigen strips for the diagnosis of urinary schistosomiasis.

Authors:  N Midzi; A E Butterworth; T Mduluza; S Munyati; A M Deelder; G J van Dam
Journal:  Trans R Soc Trop Med Hyg       Date:  2008-10-31       Impact factor: 2.184

7.  Application of a circulating-cathodic-antigen (CCA) strip test and real-time PCR, in comparison with microscopy, for the detection of Schistosoma haematobium in urine samples from Ghana.

Authors:  B B Obeng; Y A Aryeetey; C J de Dood; A S Amoah; I A Larbi; A M Deelder; M Yazdanbakhsh; F C Hartgers; D A Boakye; J J Verweij; G J van Dam; L van Lieshout
Journal:  Ann Trop Med Parasitol       Date:  2008-10

8.  Quantification of clinical morbidity associated with schistosome infection in sub-Saharan Africa.

Authors:  Marieke J van der Werf; Sake J de Vlas; Simon Brooker; Caspar W N Looman; Nico J D Nagelkerke; J Dik F Habbema; Dirk Engels
Journal:  Acta Trop       Date:  2003-05       Impact factor: 3.112

9.  Low-cost mobile phone microscopy with a reversed mobile phone camera lens.

Authors:  Neil A Switz; Michael V D'Ambrosio; Daniel A Fletcher
Journal:  PLoS One       Date:  2014-05-22       Impact factor: 3.240

10.  Low sensitivity of the formol-ethyl acetate sedimentation concentration technique in low-intensity Schistosoma japonicum infections.

Authors:  Tore Lier; Gunnar S Simonsen; Tianping Wang; Dabing Lu; Hanne H Haukland; Birgitte J Vennervald; Maria V Johansen
Journal:  PLoS Negl Trop Dis       Date:  2009-02-24
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