Evidence map›Paper›PMID 26510706›Full record

ArticleJournal of anatomy2016

Quantitative imaging of tissue sections using infrared scanning technology.

Samantha L Eaton, Elizabeth Cumyn, Declan King, Rachel A Kline, Sarah M Carpanini, Jorge Del-Pozo, Rona Barron, Thomas M Wishart

Abstract read
In one paragraph

Article in Journal of anatomy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Editorial.Journal of anatomy · 2018
    Article
  5. Article
  6. 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

8 authors.

Samantha L EatonRoslin Institute, University of Edinburgh, Edinburgh, UK.
Elizabeth CumynRoslin Institute, University of Edinburgh, Edinburgh, UK.
Declan KingRoslin Institute, University of Edinburgh, Edinburgh, UK.
Rachel A KlineRoslin Institute, University of Edinburgh, Edinburgh, UK.
Sarah M CarpaniniRoslin Institute, University of Edinburgh, Edinburgh, UK.
Jorge Del-PozoRoyal (Dick) School of Veterinary Studies, University of Edinburgh, Edinburgh, UK.
Rona BarronRoslin Institute, University of Edinburgh, Edinburgh, UK.
Thomas M WishartRoslin Institute, University of Edinburgh, Edinburgh, UK.

Funding

Biotechnology and Biological Sciences Research Council BBS/E/D/20251969Medical Research Council MR/M010341/1
6 · The paper itself

Abstract

Quantification of immunohistochemically (IHC) labelled tissue sections typically yields semi-quantitative results. Visualising infrared (IR) 'tags', with an appropriate scanner, provides an alternative system where the linear nature of the IR fluorophore emittance enables realistic quantitative fluorescence IHC (QFIHC). Importantly, this new technology enables entire tissue sections to be scanned, allowing accurate area and protein abundance measurements to be calculated from rapidly acquired images. Here, some of the potential benefits of using IR-based tissue imaging are examined, and the following are demonstrated. Firstly, image capture and analysis using IR-based scanning technology yields comparable area-based quantification to those obtained from a modern high-resolution digital slide scanner. Secondly, IR-based dual target visualisation and expression-based quantification is rapid and simple. Thirdly, IR-based relative protein abundance QIHC measurements are an accurate reflection of tissue sample protein abundance, as demonstrated by comparison with quantitative fluorescent Western blotting data. In summary, it is proposed that IR-based QFIHC provides an alternative method of rapid whole-tissue section low-resolution imaging for the production of reliable and accurate quantitative data.

Indexed as

Infrared RaysAnimalsBrainImage Processing, Computer-AssistedImmunohistochemistryMiceMice, Inbred BALB CMicroscopyModels, Animalimage analysisinfrared fluorescent tagsmorphometric analysisquantitative immunohistochemistrytissue section imaging

Identifiers

PMID26510706
PMCPMC4694169

What OpenQuestion holds

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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.