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Smartphone-based multi-contrast microscope using color-multiplexed illumination

Overview of attention for article published in Scientific Reports, August 2017
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Title
Smartphone-based multi-contrast microscope using color-multiplexed illumination
Published in
Scientific Reports, August 2017
DOI 10.1038/s41598-017-07703-w
Pubmed ID
Authors

Daeseong Jung, Jun-Ho Choi, Soocheol Kim, Suho Ryu, Wonchan Lee, Jong-Seok Lee, Chulmin Joo

Abstract

We present a portable multi-contrast microscope capable of producing bright-field, dark-field, and differential phase contrast images of thin biological specimens on a smartphone platform. The microscopy method is based on an imaging scheme termed "color-coded light-emitting-diode (LED) microscopy (cLEDscope)," in which a specimen is illuminated with a color-coded LED array and light transmitted through the specimen is recorded by a color image sensor. Decomposition of the image into red, green, and blue colors and subsequent computation enable multi-contrast imaging in a single shot. In order to transform a smartphone into a multi-contrast imaging device, we developed an add-on module composed of a patterned color micro-LED array, specimen stage, and miniature objective. Simple installation of this module onto a smartphone enables multi-contrast imaging of transparent specimens. In addition, an Android-based app was implemented to acquire an image, perform the associated computation, and display the multi-contrast images in real time. Herein, the details of our smartphone module and experimental demonstrations with various biological specimens are presented.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 57 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Student > Bachelor 10 18%
Researcher 10 18%
Student > Master 5 9%
Other 3 5%
Other 5 9%
Unknown 11 19%
Readers by discipline Count As %
Engineering 21 37%
Physics and Astronomy 6 11%
Chemistry 5 9%
Agricultural and Biological Sciences 2 4%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 8 14%
Unknown 13 23%