Evidence map›Paper›PMID 28790342›Full record

ArticleScientific reports2017

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

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

Abstract read
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

13 citing papers in PubMed.

  1. Article
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  4. A Compact Imaging Platform for ConductingLife (Basel, Switzerland) · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors.

Daeseong JungYonsei University, School of Mechanical Engineering, Seoul, 03722, Republic of Korea.ORCID 0000-0003-3088-8189
Jun-Ho ChoiYonsei University, School of Integrated Technology & Yonsei Institute of Convergence Technology, Incheon, 21983, Republic of Korea.
Soocheol KimYonsei University, School of Mechanical Engineering, Seoul, 03722, Republic of Korea.
Suho RyuYonsei University, School of Mechanical Engineering, Seoul, 03722, Republic of Korea.ORCID 0000-0002-0245-8475
Wonchan LeeYonsei University, School of Mechanical Engineering, Seoul, 03722, Republic of Korea.
Jong-Seok LeeYonsei University, School of Integrated Technology & Yonsei Institute of Convergence Technology, Incheon, 21983, Republic of Korea.
Chulmin JooYonsei University, School of Mechanical Engineering, Seoul, 03722, Republic of Korea. cjoo@yonsei.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Identifiers

PMID28790342
PMCPMC5548908

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.