Evidence map›Paper›PMID 29781988›Full record

ArticleJournal of visualized experiments : JoVE2018

Automated Slide Scanning and Segmentation in Fluorescently-labeled Tissues Using a Widefield High-content Analysis System.

Candice C Poon, Vincent Ebacher, Katherine Liu, Voon Wee Yong, John James Patrick Kelly

Open access · bronzeAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.5field-weighted citation impact, top 21% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. 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

5 authors at 2 institutions in 3 countries.

Candice C PoonDepartment of Clinical Neurosciences, Arnie Charbonneau Cancer Institute, University of Calgary; ccpoon@ucalgary.ca.
Vincent EbacherDepartment of Cell Biology and Anatomy, Hotchkiss Brain Institute, University of Calgary.
Katherine LiuDepartment of Clinical Neurosciences, Arnie Charbonneau Cancer Institute, University of Calgary.
Voon Wee YongDepartment of Clinical Neurosciences, Arnie Charbonneau Cancer Institute, University of Calgary; Department of Oncology, Hotchkiss Brain Institute, University of Calgary.
John James Patrick KellyDepartment of Clinical Neurosciences, Arnie Charbonneau Cancer Institute, University of Calgary.
University of Calgary · CACancer Institute (WIA) · IN

Funding

CIHR
6 · The paper itself

Abstract

Automated slide scanning and segmentation of fluorescently-labeled tissues is the most efficient way to analyze whole slides or large tissue sections. Unfortunately, many researchers spend large amounts of time and resources developing and optimizing workflows that are only relevant to their own experiments. In this article, we describe a protocol that can be used by those with access to a widefield high-content analysis system (WHCAS) to image any slide-mounted tissue, with options for customization within pre-built modules found in the associated software. Not originally intended for slide scanning, the steps detailed in this article make it possible to acquire slide scanning images in the WHCAS which can be imported into the associated software. In this example, the automated segmentation of brain tumor slides is demonstrated, but the automated segmentation of any fluorescently-labeled nuclear or cytoplasmic marker is possible. Furthermore, there are a variety of other quantitative software modules including assays for protein localization/translocation, cellular proliferation/viability/apoptosis, and angiogenesis that can be run. This technique will save researchers time and effort and create an automated protocol for slide analysis.

Indexed as

HumansImage CytometryImage Processing, Computer-AssistedMicroscopy, FluorescenceSoftware

Identifiers

PMID29781988
PMCPMC6101103
OpenAlexW2802443974

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.