On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.

BACKGROUND: Microscopy, being relatively easy to perform at low cost, is the universal diagnostic method for detection of most globally important parasitic infections. As quality control is hard to maintain, misdiagnosis is common, which affects both estimates of parasite burdens and patient care. N...

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Main Authors: Ewert Linder, Anne Grote, Sami Varjo, Nina Linder, Marianne Lebbad, Mikael Lundin, Vinod Diwan, Jari Hannuksela, Johan Lundin
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS Neglected Tropical Diseases
Online Access:http://europepmc.org/articles/PMC3855048?pdf=render
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spelling doaj-b37648a2cfca4e818267a12664ef66542020-11-24T20:52:51ZengPublic Library of Science (PLoS)PLoS Neglected Tropical Diseases1935-27271935-27352013-01-01712e254710.1371/journal.pntd.0002547On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.Ewert LinderAnne GroteSami VarjoNina LinderMarianne LebbadMikael LundinVinod DiwanJari HannukselaJohan LundinBACKGROUND: Microscopy, being relatively easy to perform at low cost, is the universal diagnostic method for detection of most globally important parasitic infections. As quality control is hard to maintain, misdiagnosis is common, which affects both estimates of parasite burdens and patient care. Novel techniques for high-resolution imaging and image transfer over data networks may offer solutions to these problems through provision of education, quality assurance and diagnostics. Imaging can be done directly on image sensor chips, a technique possible to exploit commercially for the development of inexpensive "mini-microscopes". Images can be transferred for analysis both visually and by computer vision both at point-of-care and at remote locations. METHODS/PRINCIPAL FINDINGS: Here we describe imaging of helminth eggs using mini-microscopes constructed from webcams and mobile phone cameras. The results show that an inexpensive webcam, stripped off its optics to allow direct application of the test sample on the exposed surface of the sensor, yields images of Schistosoma haematobium eggs, which can be identified visually. Using a highly specific image pattern recognition algorithm, 4 out of 5 eggs observed visually could be identified. CONCLUSIONS/SIGNIFICANCE: As proof of concept we show that an inexpensive imaging device, such as a webcam, may be easily modified into a microscope, for the detection of helminth eggs based on on-chip imaging. Furthermore, algorithms for helminth egg detection by machine vision can be generated for automated diagnostics. The results can be exploited for constructing simple imaging devices for low-cost diagnostics of urogenital schistosomiasis and other neglected tropical infectious diseases.http://europepmc.org/articles/PMC3855048?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Ewert Linder
Anne Grote
Sami Varjo
Nina Linder
Marianne Lebbad
Mikael Lundin
Vinod Diwan
Jari Hannuksela
Johan Lundin
spellingShingle Ewert Linder
Anne Grote
Sami Varjo
Nina Linder
Marianne Lebbad
Mikael Lundin
Vinod Diwan
Jari Hannuksela
Johan Lundin
On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.
PLoS Neglected Tropical Diseases
author_facet Ewert Linder
Anne Grote
Sami Varjo
Nina Linder
Marianne Lebbad
Mikael Lundin
Vinod Diwan
Jari Hannuksela
Johan Lundin
author_sort Ewert Linder
title On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.
title_short On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.
title_full On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.
title_fullStr On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.
title_full_unstemmed On-chip imaging of Schistosoma haematobium eggs in urine for diagnosis by computer vision.
title_sort on-chip imaging of schistosoma haematobium eggs in urine for diagnosis by computer vision.
publisher Public Library of Science (PLoS)
series PLoS Neglected Tropical Diseases
issn 1935-2727
1935-2735
publishDate 2013-01-01
description BACKGROUND: Microscopy, being relatively easy to perform at low cost, is the universal diagnostic method for detection of most globally important parasitic infections. As quality control is hard to maintain, misdiagnosis is common, which affects both estimates of parasite burdens and patient care. Novel techniques for high-resolution imaging and image transfer over data networks may offer solutions to these problems through provision of education, quality assurance and diagnostics. Imaging can be done directly on image sensor chips, a technique possible to exploit commercially for the development of inexpensive "mini-microscopes". Images can be transferred for analysis both visually and by computer vision both at point-of-care and at remote locations. METHODS/PRINCIPAL FINDINGS: Here we describe imaging of helminth eggs using mini-microscopes constructed from webcams and mobile phone cameras. The results show that an inexpensive webcam, stripped off its optics to allow direct application of the test sample on the exposed surface of the sensor, yields images of Schistosoma haematobium eggs, which can be identified visually. Using a highly specific image pattern recognition algorithm, 4 out of 5 eggs observed visually could be identified. CONCLUSIONS/SIGNIFICANCE: As proof of concept we show that an inexpensive imaging device, such as a webcam, may be easily modified into a microscope, for the detection of helminth eggs based on on-chip imaging. Furthermore, algorithms for helminth egg detection by machine vision can be generated for automated diagnostics. The results can be exploited for constructing simple imaging devices for low-cost diagnostics of urogenital schistosomiasis and other neglected tropical infectious diseases.
url http://europepmc.org/articles/PMC3855048?pdf=render
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