Literature DB >> 24964209

A smartphone-based chip-scale microscope using ambient illumination.

Seung Ah Lee1, Changhuei Yang.   

Abstract

Portable chip-scale microscopy devices can potentially address various imaging needs in mobile healthcare and environmental monitoring. Here, we demonstrate the adaptation of a smartphone's camera to function as a compact lensless microscope. Unlike other chip-scale microscopy schemes, this method uses ambient illumination as its light source and does not require the incorporation of a dedicated light source. The method is based on the shadow imaging technique where the sample is placed on the surface of the image sensor, which captures direct shadow images under illumination. To improve the image resolution beyond the pixel size, we perform pixel super-resolution reconstruction with multiple images at different angles of illumination, which are captured while the user is manually tilting the device around any ambient light source, such as the sun or a lamp. The lensless imaging scheme allows for sub-micron resolution imaging over an ultra-wide field-of-view (FOV). Image acquisition and reconstruction are performed on the device using a custom-built Android application, constructing a stand-alone imaging device for field applications. We discuss the construction of the device using a commercial smartphone and demonstrate the imaging capabilities of our system.

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Mesh:

Year:  2014        PMID: 24964209      PMCID: PMC4124038          DOI: 10.1039/c4lc00523f

Source DB:  PubMed          Journal:  Lab Chip        ISSN: 1473-0189            Impact factor:   6.799


  16 in total

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5.  Smart-phone based computational microscopy using multi-frame contact imaging on a fiber-optic array.

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Review 7.  Waterborne protozoan pathogens.

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Journal:  Lab Chip       Date:  2010-08-09       Impact factor: 6.799

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  29 in total

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Journal:  IEEE J Transl Eng Health Med       Date:  2017-11-23       Impact factor: 3.316

Review 4.  Interfacing Pathogen Detection with Smartphones for Point-of-Care Applications.

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6.  Colorimetric-Luminance Readout for Quantitative Analysis of Fluorescence Signals with a Smartphone CMOS Sensor.

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7.  Smartphone confocal microscopy for imaging cellular structures in human skin in vivo.

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8.  Compact Wireless Microscope for In-Situ Time Course Study of Large Scale Cell Dynamics within an Incubator.

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9.  A 3D-Printed, Portable, Optical-Sensing Platform for Smartphones Capable of Detecting the Herbicide 2,4-Dichlorophenoxyacetic Acid.

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10.  Single-Shot Smartphone-Based Quantitative Phase Imaging Using a Distorted Grating.

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Journal:  PLoS One       Date:  2016-07-21       Impact factor: 3.240

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