Evidence map›Paper›PMID 25145969›Full record

ArticleJournal of visualized experiments : JoVE2014

Reconstruction of 3-dimensional histology volume and its application to study mouse mammary glands.

Rushin Shojaii, Stephanie Bacopulos, Wenyi Yang, Tigran Karavardanyan, Demetri Spyropoulos, Afshin Raouf, Anne Martel, Arun Seth

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Article in Journal of visualized experiments : JoVE, 2014. 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.

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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

8 authors.

Rushin ShojaiiDepartment of Medical Biophysics, University of Toronto; rushin.shojaii@sri.utoronto.ca.
Stephanie BacopulosPlatform Biological Sciences, Sunnybrook Research Institute; Department of Laboratory Medicine and Pathobiology, University of Toronto.
Wenyi YangPlatform Biological Sciences, Sunnybrook Research Institute; Department of Laboratory Medicine and Pathobiology, University of Toronto.
Tigran KaravardanyanPhysical Sciences, Sunnybrook Research Institute.
Demetri SpyropoulosDepartment of Pathology and Laboratory Medicine, Medical University of South Carolina.
Afshin RaoufManitoba Institute of Cell Biology, University of Manitoba.
Anne MartelDepartment of Medical Biophysics, University of Toronto; Physical Sciences, Sunnybrook Research Institute.
Arun SethPlatform Biological Sciences, Sunnybrook Research Institute; Department of Laboratory Medicine and Pathobiology, University of Toronto.

Funding

Canadian Institutes of Health Research MOP-97996
6 · The paper itself

Abstract

Histology volume reconstruction facilitates the study of 3D shape and volume change of an organ at the level of macrostructures made up of cells. It can also be used to investigate and validate novel techniques and algorithms in volumetric medical imaging and therapies. Creating 3D high-resolution atlases of different organs(1,2,3) is another application of histology volume reconstruction. This provides a resource for investigating tissue structures and the spatial relationship between various cellular features. We present an image registration approach for histology volume reconstruction, which uses a set of optical blockface images. The reconstructed histology volume represents a reliable shape of the processed specimen with no propagated post-processing registration error. The Hematoxylin and Eosin (H&E) stained sections of two mouse mammary glands were registered to their corresponding blockface images using boundary points extracted from the edges of the specimen in histology and blockface images. The accuracy of the registration was visually evaluated. The alignment of the macrostructures of the mammary glands was also visually assessed at high resolution. This study delineates the different steps of this image registration pipeline, ranging from excision of the mammary gland through to 3D histology volume reconstruction. While 2D histology images reveal the structural differences between pairs of sections, 3D histology volume provides the ability to visualize the differences in shape and volume of the mammary glands.

Indexed as

AnimalsFemaleImaging, Three-DimensionalInsulin-Like Growth Factor Binding ProteinsMammary Glands, AnimalMiceParaffin Embeddinginsulin-like growth factor binding protein-related protein 1Insulin-Like Growth Factor Binding Proteins

Identifiers

PMID25145969
PMCPMC4415371

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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.