Evidence map›Paper›PMID 31092867›Full record

ArticleScientific reports2019

Low-cost, sub-micron resolution, wide-field computational microscopy using opensource hardware.

Tomas Aidukas, Regina Eckert, Andrew R Harvey, Laura Waller, Pavan C Konda

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
21.0field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 111 citations in OpenAlex.

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  13. A review on low-cost microscopes for Open Science.Microscopy research and technique · 2022
    Review
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  16. Technologies for Frugal and Sensitive Point-of-Care Immunoassays.Annual review of analytical chemistry (Palo Alto, Calif.) · 2022
    Review
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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

5 authors at 2 institutions in 2 countries.

Tomas AidukasImaging Concepts Group, School of Physics and Astronomy, University of Glasgow, Scotland, G12 8QQ, UK.ORCID http://orcid.org/0000-0002-7280-7693
Regina EckertDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, 94720, USA.
Andrew R HarveyImaging Concepts Group, School of Physics and Astronomy, University of Glasgow, Scotland, G12 8QQ, UK. Andy.Harvey@glasgow.ac.uk.
Laura WallerDepartment of Electrical Engineering and Computer Sciences, University of California, Berkeley, California, 94720, USA.ORCID http://orcid.org/0000-0003-1243-2356
Pavan C KondaImaging Concepts Group, School of Physics and Astronomy, University of Glasgow, Scotland, G12 8QQ, UK.ORCID http://orcid.org/0000-0001-7119-1949
University of Glasgow · GBUniversity of California, Berkeley · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The revolution in low-cost consumer photography and computation provides fertile opportunity for a disruptive reduction in the cost of biomedical imaging. Conventional approaches to low-cost microscopy are fundamentally restricted, however, to modest field of view (FOV) and/or resolution. We report a low-cost microscopy technique, implemented with a Raspberry Pi single-board computer and color camera combined with Fourier ptychography (FP), to computationally construct 25-megapixel images with sub-micron resolution. New image-construction techniques were developed to enable the use of the low-cost Bayer color sensor, to compensate for the highly aberrated re-used camera lens and to compensate for misalignments associated with the 3D-printed microscope structure. This high ratio of performance to cost is of particular interest to high-throughput microscopy applications, ranging from drug discovery and digital pathology to health screening in low-income countries. 3D models and assembly instructions of our microscope are made available for open source use.

Identifiers

PMID31092867
PMCPMC6520337
OpenAlexW2898999953

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.