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mu SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage

Title
mu SmartScope: Towards a Fully Automated 3D-Printed Smartphone Microscope with Motorized Stage
Type
Article in International Conference Proceedings Book
Year
2018
Authors
Luís Rosado
(Author)
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Paulo T. Silva
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José Faria
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João Oliveira
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Maria João M. Vasconcelos
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Dirk Elias
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José M. Correia da Costa
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Jaime S. Cardoso
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FEUP
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Conference proceedings International
Pages: 19-44
10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC)
Porto, PORTUGAL, FEB 21-23, 2017
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Authenticus ID: P-00P-1X7
Abstract (EN): Microscopic examination is the reference diagnostic method for several neglected tropical diseases. However, its quality and availability in rural endemic areas is often limited by the lack of trained personnel and adequate equipment. These drawbacks are closely related with the increasing interest in the development of computer-aided diagnosis systems, particularly distributed solutions that provide access to complex diagnosis in rural areas. In this work we present our most recent advances towards the development of a fully automated 3D-printed smartphone microscope with a motorized stage, termed mu SmartScope. The developed prototype allows autonomous acquisition of a pre-defined number of images at 1000x magnification, by using a motorized automated stage fully powered and controlled by a smartphone, without the need of manual focus. In order to validate the prototype as a reliable alternative to conventional microscopy, we evaluated the mu SmartScope performance in terms of: resolution; field of view; illumination; motorized stage performance (mechanical movement precision/resolution and power consumption); and automated focus. These results showed similar performances when compared with conventional microscopy, plus the advantage of being low-cost and easy to use, even for non-experts in microscopy. To extract these results, smears infected with blood parasites responsible for the most relevant neglected tropical diseases were used. The acquired images showed that it was possible to detect those agents through images acquired via the mu SmartScope, which clearly illustrate the huge potential of this device, specially in developing countries with limited access to healthcare services.
Language: English
Type (Professor's evaluation): Scientific
No. of pages: 26
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