2016
DOI: 10.4269/ajtmh.15-0427
|View full text |Cite
|
Sign up to set email alerts
|

Smartphone Microscopy of Parasite Eggs Accumulated into a Single Field of View

Abstract: A Nokia Lumia 1020 cellular phone (Microsoft Corp., Auckland, New Zealand) was configured to image the ova of Ascaris lumbricoides converged into a single field of view but on different focal planes. The phone was programmed to acquire images at different distances and, using public domain computer software, composite images were created that brought all the eggs into sharp focus. This proof of concept informs a framework for field-deployable, point of care monitoring of soil-transmitted helminths.

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1
1

Citation Types

0
21
1

Year Published

2016
2016
2024
2024

Publication Types

Select...
4
4

Relationship

1
7

Authors

Journals

citations
Cited by 24 publications
(22 citation statements)
references
References 23 publications
0
21
1
Order By: Relevance
“…A major issue in imaging parasitic eggs is their scattering at different focal depths in a three dimensional (3D) plane. Sowerby et al addressed this issue by mounting a 12-mm double convex objective lens on a smartphone camera to image Ascaris lumbricoides eggs and create composite images using a software program, ImageJ (12). Overall, external lens-mounted smartphone microscopes are portable, inexpensive, and operate without constant electricity needs, which make them a field-deployable tool in parasitic diagnosis in resource-constrained regions of the world.…”
Section: Journal Of Clinical Microbiologymentioning
confidence: 99%
See 1 more Smart Citation
“…A major issue in imaging parasitic eggs is their scattering at different focal depths in a three dimensional (3D) plane. Sowerby et al addressed this issue by mounting a 12-mm double convex objective lens on a smartphone camera to image Ascaris lumbricoides eggs and create composite images using a software program, ImageJ (12). Overall, external lens-mounted smartphone microscopes are portable, inexpensive, and operate without constant electricity needs, which make them a field-deployable tool in parasitic diagnosis in resource-constrained regions of the world.…”
Section: Journal Of Clinical Microbiologymentioning
confidence: 99%
“…However, the use of this device is limited due to various issues such as specimen orientation, hygiene, manual slide navigation, low sensitivity, and small FOV (see Table 2). Some of these issues have been addressed by applying other lens settings, such as a reversed lens (11) and a double convex lens (12), although these devices require field validation.…”
Section: Conclusion and Future Implicationsmentioning
confidence: 99%
“…Furthermore, due to their low cost and ubiquity, there is currently intense interest in harnessing the optics and computational power of smartphones to produce affordable and convenient analytical instruments and diagnostic devices for use outside the laboratory (Zhu et al, 2013), including in the area of parasitology (Bogoch et al, 2013(Bogoch et al, , 2016Ephraim et al, 2015;Sowerby et al, 2016), although none have yet been commercialized. We therefore sought to eliminate the need for a laboratory microscope and laborious manual specimen examination by simplifying and automating FECs via coupling fluorescent egg staining to smartphone-based imaging and computational shape recognition ( United States patent application #2015029309).…”
Section: Introductionmentioning
confidence: 99%
“…In this system, single FOV images, of parasite ova accumulated by an innovative fluidic system are acquired at the site of analysis via a purpose built portable, autonomously operated digital photo microscope and transmitted to “experts” via the Microsoft Azure Cloud system (Microsoft Corp., Redmond, WA). A smartphone version of this technology has been developed 19. MEP Equine Solutions LLC (www.theparasightsystem.com) also offer mobile phone-based FEC microscopy for specific parasite ova.…”
Section: Emerging Sth Monitoring Technologiesmentioning
confidence: 99%