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Cell-Phone-Based Platform for Biomedical Device Development and Education Applications

Overview of attention for article published in PLOS ONE, March 2011
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Title
Cell-Phone-Based Platform for Biomedical Device Development and Education Applications
Published in
PLOS ONE, March 2011
DOI 10.1371/journal.pone.0017150
Pubmed ID
Authors

Zachary J. Smith, Kaiqin Chu, Alyssa R. Espenson, Mehdi Rahimzadeh, Amy Gryshuk, Marco Molinaro, Denis M. Dwyre, Stephen Lane, Dennis Matthews, Sebastian Wachsmann-Hogiu

Abstract

In this paper we report the development of two attachments to a commercial cell phone that transform the phone's integrated lens and image sensor into a 350x microscope and visible-light spectrometer. The microscope is capable of transmission and polarized microscopy modes and is shown to have 1.5 micron resolution and a usable field-of-view of 150 x 50 with no image processing, and approximately 350 x 350 when post-processing is applied. The spectrometer has a 300 nm bandwidth with a limiting spectral resolution of close to 5 nm. We show applications of the devices to medically relevant problems. In the case of the microscope, we image both stained and unstained blood-smears showing the ability to acquire images of similar quality to commercial microscope platforms, thus allowing diagnosis of clinical pathologies. With the spectrometer we demonstrate acquisition of a white-light transmission spectrum through diffuse tissue as well as the acquisition of a fluorescence spectrum. We also envision the devices to have immediate relevance in the educational field.

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Geographical breakdown

Country Count As %
United States 14 3%
India 3 <1%
Mexico 2 <1%
United Kingdom 2 <1%
France 1 <1%
Korea, Republic of 1 <1%
Switzerland 1 <1%
Germany 1 <1%
Taiwan 1 <1%
Other 5 1%
Unknown 373 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 96 24%
Researcher 80 20%
Student > Master 48 12%
Student > Bachelor 38 9%
Student > Doctoral Student 27 7%
Other 68 17%
Unknown 47 12%
Readers by discipline Count As %
Engineering 107 26%
Agricultural and Biological Sciences 58 14%
Physics and Astronomy 39 10%
Chemistry 30 7%
Computer Science 21 5%
Other 94 23%
Unknown 55 14%