Cell-Phone-Based Platform for Biomedical Device Development and Education Applications
Top Cited Papers
Open Access
- 2 March 2011
- journal article
- research article
- Published by Public Library of Science (PLoS) in PLOS ONE
- Vol. 6 (3), e17150
- https://doi.org/10.1371/journal.pone.0017150
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 350× 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 150×150 with no image processing, and approximately 350×350 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.Keywords
This publication has 14 references indexed in Scilit:
- Detection of waterborne parasites using field-portable and cost-effective lensfree microscopyLab on a Chip, 2010
- Lensfree on-chip microscopy over a wide field-of-view using pixel super-resolutionOptics Express, 2010
- Lensfree microscopy on a cellphoneLab on a Chip, 2010
- Clinical study of quantitative diagnosis of early cervical cancer based on the classification of acetowhitening kineticsJournal of Biomedical Optics, 2010
- Mobile Phone Based Clinical Microscopy for Global Health ApplicationsPLOS ONE, 2009
- Optical imaging for cervical cancer detection: solutions for a continuing global problemNature Reviews Cancer, 2008
- Evaluation of focus measures in multi-focus image fusionPattern Recognition Letters, 2006
- Software for Quantification of Labeled Bacteria from Digital Microscope Images by Automated Image AnalysisBioTechniques, 2005
- In vivo determination of optical properties of normal and tumor tissue with white light reflectance and an empirical light transport model during endoscopyJournal of Biomedical Optics, 2005
- In vivo Fluorescence Spectroscopy of Nonmelanoma Skin Cancer¶Photochemistry and Photobiology, 2001