Evidence map›Paper›PMID 21935102›Full record

ArticleOptics express2011

Lensfree super-resolution holographic microscopy using wetting films on a chip.

Onur Mudanyali, Waheb Bishara, Aydogan Ozcan

Open access · goldAbstract readEvaluation Study
In one paragraph

Article in Optics express, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.2field-weighted citation impact, top 5% of its field
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

17 citing papers in PubMed, 55 citations in OpenAlex.

  1. Article
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  6. Digital diffraction analysis enables low-cost molecular diagnostics on a smartphone.Proceedings of the National Academy of Sciences of the United States of America · 2015
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  9. Review
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  14. Review
  15. On-chip biomedical imaging.IEEE reviews in biomedical engineering · 2013
    Review
  16. Article
  17. Article
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

3 authors at 1 institution in 1 country.

Onur MudanyaliElectrical Engineering Department, University of California, Los Angeles, CA 90095, USA.
Waheb Bishara
Aydogan Ozcan
University of California, Los Angeles · US

Funding

Towards Mega-Throughput, Label-free Genomics and Proteomics: Revolutionizing MicrDP2OD006427 · OD · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OZCAN, AYDOGAN · 2009 to 2009
$2.3M
Lensfree On-Chip Near-field Microscopy based on Resonant Nano-AperturesR21EB009222 · NIBIB · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI OZCAN, AYDOGAN · 2008 to 2009
$330k
NIBIB NIH HHS R21 EB009222NIH HHS DP2 OD006427NIH HHS DP2OD006427
6 · The paper itself

Abstract

We investigate the use of wetting films to significantly improve the imaging performance of lensfree pixel super-resolution on-chip microscopy, achieving < 1 µm spatial resolution over a large imaging area of ~24 mm(2). Formation of an ultra-thin wetting film over the specimen effectively creates a micro-lens effect over each object, which significantly improves the signal-to-noise-ratio and therefore the resolution of our lensfree images. We validate the performance of this approach through lensfree on-chip imaging of various objects having fine morphological features (with dimensions of e.g., ≤0.5 µm) such as Escherichia coli (E. coli), human sperm, Giardia lamblia trophozoites, polystyrene micro beads as well as red blood cells. These results are especially important for the development of highly sensitive field-portable microscopic analysis tools for resource limited settings.

Indexed as

AnimalsErythrocytesEscherichia coliGiardia lambliaHolographyHumansMaleMicroscopyOptical PhenomenaParticle SizePolystyrenesSignal-To-Noise RatioSpermatozoaPolystyrenes

Identifiers

PMID21935102
PMCPMC3258299
OpenAlexW2072788826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.