Evidence map›Paper›PMID 32953251›Full record

ArticleCurrent pathobiology reports2019

High-resolution microscopy for imaging cancer pathobiology.

Yang Liu, Jianquan Xu

Open access · greenAbstract read
In one paragraph

Article in Current pathobiology reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
1.3field-weighted citation impact, top 14% 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

10 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Review
  6. Review
  7. Article
  8. Cancer Cell Culture: The Basics and Two-Dimensional Cultures.Methods in molecular biology (Clifton, N.J.) · 2023
    Article
  9. Article
  10. 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

2 authors at 2 institutions in 1 country.

Yang LiuBiomedical Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Jianquan XuBiomedical Optical Imaging Laboratory, Departments of Medicine and Bioengineering, University of Pittsburgh, Pittsburgh, PA 15213, USA.
Optica · USUniversity of Pittsburgh · US

Funding

(PQC2)Nanoscale changes in 3D nuclear architecture during breast tumorigenesisR01CA185363 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2014 to 2017
$1.3M
High-throughput super-resolution imaging of chromatin structures at different epigenetic statesR33CA225494 · NCI · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI LIU, YANG · 2018 to 2020
$1.1M
NCI NIH HHS R01 CA185363NCI NIH HHS R33 CA225494
6 · The paper itself

Abstract

purpose of reviewLight microscopy plays an essential role in clinical diagnosis and understanding the pathogenesis of cancer. Conventional bright-field microscope is used to visualize abnormality in tissue architecture and nuclear morphology, but often suffers from many limitations. This review focuses on the potential of new imaging techniques to improve basic and clinical research in pathobiology. RECENT

findingsLight microscopy has significantly expanded its ability in resolution, imaging volume, speed and contrast. It now allows 3D high-resolution volumetric imaging of tissue architecture from large tissue and molecular structures at nanometer resolution. SUMMARY: Pathologists and researchers now have access to various imaging tools to study cancer pathobiology in both breadth and depth. Although clinical adoption of a new technique is slow, the new imaging tools will provide significant new insights and open new avenues for improving early cancer detection, personalized risk assessment and identifying the best treatment strategies.

Indexed as

3D volumetric imaginglabel-free imaginglight microscopysuper-resolution microscopy

Identifiers

PMID32953251
PMCPMC7500261
OpenAlexW2957139478

What OpenQuestion holds

Textmetadata
LicenceTDM
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.