Evidence map›Paper›PMID 30657153›Full record

ArticleLab on a chip2019

A miniaturized optical tomography platform for volumetric imaging of engineered living systems.

Adem Polat, Shabir Hassan, Isa Yildirim, Luis Eduardo Oliver, Maryam Mostafaei, Siddharth Kumar, Sushila Maharjan, Louis Bourguet, Xia Cao, Guoliang Ying and 2 more

Abstract read
In one paragraph

Article in Lab on a chip, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
  2. Article
  3. Microfluidic Printing of Slippery Textiles for Medical Drainage around Wounds.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2020
    Article
  4. Article
  5. Review
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

12 authors.

Adem PolatDivision of Engineering in Medicine, Department of Medicine, Brigham and Women's Hospital, Harvard Medical School, 65 Landsdowne St, Cambridge, MA 02139, USA. yszhang@research.bwh.harvard.edu.
Shabir Hassan
Isa Yildirim
Luis Eduardo Oliver
Maryam Mostafaei
Siddharth Kumar
Sushila Maharjan
Louis Bourguet
Xia Cao
Guoliang Ying
Milad Eyvazi Hesar
Yu Shrike Zhang

Funding

Multiscale Stereolithogrphic Bioprinting of Stage-Matching Vascularized Tumor ModelsR21EB025270 · NIBIB · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, Y. SHRIKE · 2018 to 2020
$726k
Developing Hybrids of Cardiac Tissue and Biodegradable Electronics Towards Heart Implants with On-line Monitoring and Stimulating FunctionsR21EB026175 · NIBIB · UNIVERSITY OF HOUSTON · PI YU, CUNJIANG · 2018 to 2019
$468k
Recapitulating Ductal Carcinoma on a Chip for Personalized Breast Cancer TherapyK99CA201603 · NCI · BRIGHAM AND WOMEN'S HOSPITAL · PI ZHANG, Y. SHRIKE · 2016 to 2017
$356k
NCI NIH HHS K99 CA201603NIBIB NIH HHS R21 EB025270NIBIB NIH HHS R21 EB026175
6 · The paper itself

Abstract

Volumetric optical microscopy approaches that enable acquisition of three-dimensional (3D) information from a biological sample are attractive for numerous non-invasive imaging applications. The unprecedented structural details that these techniques provide have helped in our understanding of different aspects of architecture of cells, tissues, and organ systems as they occur in their natural states. Nonetheless, the instrumentation for most of these techniques is sophisticated, bulky, and costly, and is less affordable to most laboratory settings. Several miniature imagers based on webcams or low-cost sensors featuring easy assembly have been reported, for in situ imaging of biological structures at low costs. However, they have not been able to achieve the ability of 3D imaging throughout the entire volumes for spatiotemporal analyses of the structural changes in these specimens. Here we present a miniaturized optical tomography (mini-Opto) platform for low-cost, volumetric characterization of engineered living systems through hardware optimizations as well as applications of an optimized algebraic algorithm for image reconstruction.

Indexed as

Cell EngineeringImaging, Three-DimensionalTomography, OpticalAlgorithmsHumansMicroscopyNeoplasmsSoftware

Identifiers

PMID30657153
PMCPMC6391727

What OpenQuestion holds

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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.