Evidence map›Paper›PMID 31666606›Full record

ArticleScientific reports2019

OptiJ: Open-source optical projection tomography of large organ samples.

Pedro P Vallejo Ramirez, Joseph Zammit, Oliver Vanderpoorten, Fergus Riche, Francois-Xavier Blé, Xiao-Hong Zhou, Bogdan Spiridon, Christopher Valentine, Simeon E Spasov, Pelumi W Oluwasanya and 12 more

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 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

11 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Optical projection tomography implemented for accessibility and low cost (Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2024
    Article
  3. Article
  4. Mouse embryo phenotyping using X-ray microCT.Frontiers in cell and developmental biology · 2022
    Review
  5. Article
  6. TISSUE CLEARING.Nature reviews. Methods primers · 2021
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. 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

22 authors at 3 institutions in 4 countries.

Pedro P Vallejo RamirezLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-7879-6761
Joseph ZammitSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Oliver VanderpoortenLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Fergus RicheSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Francois-Xavier BléClinical Discovery Unit, Early Clinical Development, IMED Biotech Unit, AstraZeneca, Cambridge, UK.ORCID http://orcid.org/0000-0001-8561-9977
Xiao-Hong ZhouBioscience, Respiratory, Inflammation and Autoimmunity, IMED Biotech Unit, AstraZeneca, Gothenburg, Sweden.
Bogdan SpiridonSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Christopher ValentineSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Simeon E SpasovSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Pelumi W OluwasanyaSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Gemma GoodfellowSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Marcus J FanthamLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Omid SiddiquiSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Farah AlimaghamSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Miranda RobbinsLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Andrew StrettonSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Dimitrios SimatosSensor CDT 2015-2016 student cohort, University of Cambridge, Cambridge, UK.
Oliver HadelerLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Eric J ReesLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Florian StröhlLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.
Romain F LaineLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-2151-4487
Clemens F KaminskiLaser Analytics Group, Department of Chemical Engineering and Biotechnology, University of Cambridge, Cambridge, UK. cfk23@cam.ac.uk.ORCID http://orcid.org/0000-0002-5194-0962
University of Cambridge · GBAstraZeneca (Sweden) · SEAstraZeneca (United Kingdom) · GB

Funding

Biotechnology and Biological Sciences Research Council BB/R021805/1Medical Research Council MR/K015850/1Medical Research Council MR/K02292X/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/P027431/1RCUK | Biotechnology and Biological Sciences Research Council (BBSRC) BB/R021805/1Wellcome Trust 089703/Z/09/ZWellcome Trust 203249/Z/16/Z
6 · The paper itself

Abstract

The three-dimensional imaging of mesoscopic samples with Optical Projection Tomography (OPT) has become a powerful tool for biomedical phenotyping studies. OPT uses visible light to visualize the 3D morphology of large transparent samples. To enable a wider application of OPT, we present OptiJ, a low-cost, fully open-source OPT system capable of imaging large transparent specimens up to 13 mm tall and 8 mm deep with 50 µm resolution. OptiJ is based on off-the-shelf, easy-to-assemble optical components and an ImageJ plugin library for OPT data reconstruction. The software includes novel correction routines for uneven illumination and sample jitter in addition to CPU/GPU accelerated reconstruction for large datasets. We demonstrate the use of OptiJ to image and reconstruct cleared lung lobes from adult mice. We provide a detailed set of instructions to set up and use the OptiJ framework. Our hardware and software design are modular and easy to implement, allowing for further open microscopy developments for imaging large organ samples.

Identifiers

PMID31666606
PMCPMC6821862
OpenAlexW2982346239

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.