Evidence map›Paper›PMID 26090271›Full record

ArticleIntravital

IMART software for correction of motion artifacts in images collected in intravital microscopy.

Kenneth W Dunn, Kevin S Lorenz, Paul Salama, Edward J Delp

Open access · hybridAbstract read
In one paragraph

Article in Intravital. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

16 citing papers in PubMed, 26 citations in OpenAlex.

  1. Review
  2. Article
  3. Quantitative Pulmonary Neutrophil Dynamics Using Computer-Vision Stabilized Intravital Imaging.American journal of respiratory cell and molecular biology · 2022
    Article
  4. Multiphoton intravital microscopy of rodents.Nature reviews. Methods primers · 2022
    Article
  5. The Indiana O'Brien Center for Advanced Renal Microscopic Analysis.American journal of physiology. Renal physiology · 2021
    Review
  6. Review
  7. Review
  8. Article
  9. Review
  10. Textures of the tumour microenvironment.Essays in biochemistry · 2019
    Review
  11. Review
  12. Review
  13. Article
  14. Intravital imaging of the kidney.Methods (San Diego, Calif.) · 2017
    Article
  15. Review
  16. 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

4 authors at 3 institutions in 1 country.

Kenneth W DunnDivision of Nephrology; School of Medicine; Indiana University; Indianapolis, IN USA.
Kevin S LorenzVideo and Image Processing Laboratory; School of Electrical and Computer Engineering; Purdue University; West Lafayette, IN USA.
Paul SalamaDepartment of Electrical and Computer Engineering; Indiana University; Indianapolis, IN USA.
Edward J DelpVideo and Image Processing Laboratory; School of Electrical and Computer Engineering; Purdue University; West Lafayette, IN USA.
Purdue University West Lafayette · USIndianapolis Zoo · USIndiana University – Purdue University Indianapolis · US

Funding

PROBE DELIVERY COREP30DK079312 · NIDDK · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI MOLITORIS, BRUCE A · 2007 to 2021
$17.1M
NIDDK NIH HHS P30 DK079312
6 · The paper itself

Abstract

Intravital microscopy is a uniquely powerful tool, providing the ability to characterize cell and organ physiology in the natural context of the intact, living animal. With the recent development of high-resolution microscopy techniques such as confocal and multiphoton microscopy, intravital microscopy can now characterize structures at subcellular resolution and capture events at sub-second temporal resolution. However, realizing the potential for high resolution requires remarkable stability in the tissue. Whereas the rigid structure of the skull facilitates high-resolution imaging of the brain, organs of the viscera are free to move with respiration and heartbeat, requiring additional apparatus for immobilization. In our experience, these methods are variably effective, so that many studies are compromised by residual motion artifacts. Here we demonstrate the use of IMART, a software tool for removing motion artifacts from intravital microscopy images collected in time series or in three dimensions.

Indexed as

fluorescence microscopyimage analysisimage processingimage registrationintravital microscopyin vivo imagingmotion artifactmultiphoton microscopy

Identifiers

PMID26090271
PMCPMC4469201
OpenAlexW2026110301

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.