Evidence map›Paper›PMID 30502365›Full record

ArticleMicrovascular research2019

A simple automated method for continuous fieldwise measurement of microvascular hemodynamics.

Sherry G Clendenon, Xiao Fu, Robert A Von Hoene, Jeffrey L Clendenon, James P Sluka, Seth Winfree, Henry Mang, Michelle Martinez, Adele J Filson, James E Klaunig and 2 more

Abstract readVideo-Audio Media
In one paragraph

Article in Microvascular research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. The Indiana O'Brien Center for Advanced Renal Microscopic Analysis.American journal of physiology. Renal physiology · 2021
    Review
  7. Review
  8. Actually Seeing What Is Going on - Intravital Microscopy in Tissue Engineering.Frontiers in bioengineering and biotechnology · 2021
    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

12 authors.

Sherry G ClendenonBiocomplexity Institute, Indiana University, Bloomington, IN, USA; Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Xiao FuBiocomplexity Institute, Indiana University, Bloomington, IN, USA; Department of Physics, Indiana University, Bloomington, IN, USA.
Robert A Von HoeneBiocomplexity Institute, Indiana University, Bloomington, IN, USA; Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Jeffrey L ClendenonScientific Designs, Indianapolis, IN, USA.
James P SlukaBiocomplexity Institute, Indiana University, Bloomington, IN, USA; Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Seth WinfreeDepartment of Medicine, Indiana University, Indianapolis, IN, USA.
Henry MangDepartment of Medicine, Indiana University, Indianapolis, IN, USA.
Michelle MartinezDepartment of Medicine, Indiana University, Indianapolis, IN, USA.
Adele J FilsonDepartment of Medicine, Indiana University, Indianapolis, IN, USA.
James E KlaunigSchool of Public Health, Indiana University, Bloomington, IN, USA.
James A GlazierBiocomplexity Institute, Indiana University, Bloomington, IN, USA; Department of Intelligent Systems Engineering, Indiana University, Bloomington, IN, USA.
Kenneth W DunnDepartment of Medicine, Indiana University, Indianapolis, IN, USA. Electronic address: kwdunn@iu.edu.

Funding

Translation CoreP30DK097512 · NIDDK · INDIANA UNIVERSITY INDIANAPOLIS · PI Carmella Evans-Molina · 2015 to 2026
$17.4M
PROBE DELIVERY COREP30DK079312 · NIDDK · INDIANA UNIV-PURDUE UNIV AT INDIANAPOLIS · PI MOLITORIS, BRUCE A · 2007 to 2021
$17.1M
Development of a Multiscale Mechanistic Simulation of Acetaminophen Induced LiverU01GM111243 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI DUNN, KENNETH W, GLAZIER, JAMES ALEXANDER · 2014 to 2017
$2.1M
Competitive Renewal of Development, Improvement and Extension of the Tissue Simulation Environment - CompuCell3DR01GM122424 · NIGMS · TRUSTEES OF INDIANA UNIVERSITY · PI GLAZIER, JAMES ALEXANDER · 2017 to 2020
$1.7M
NIDDK NIH HHS P30 DK079312NIDDK NIH HHS P30 DK097512NIGMS NIH HHS R01 GM122424NIGMS NIH HHS U01 GM111243
6 · The paper itself

Abstract

Microvascular perfusion dynamics are vital to physiological function and are frequently dysregulated in injury and disease. Typically studies measure microvascular flow in a few selected vascular segments over limited time, failing to capture spatial and temporal variability. To quantify microvascular flow in a more complete and unbiased way we developed STAFF (Spatial Temporal Analysis of Fieldwise Flow), a macro for FIJI open-source image analysis software. Using high-speed microvascular flow movies, STAFF generates kymographs for every time interval for every vascular segment, calculates flow velocities from red blood cell shadow angles, and outputs the data as color-coded velocity map movies and spreadsheets. In untreated mice, analyses demonstrated profound variation even between adjacent sinusoids over seconds. In acetaminophen-treated mice we detected flow reduction localized to pericentral regions. STAFF is a powerful new tool capable of providing novel insights by enabling measurement of the complex spatiotemporal dynamics of microvascular flow.

Indexed as

HemodynamicsLiver CirculationMicrocirculationAcetaminophenAnimalsAutomationBlood Flow VelocityChemical and Drug Induced Liver InjuryDisease Models, AnimalErythrocytesImage Interpretation, Computer-AssistedIntravital MicroscopyKymographyLiverMaleMice, Inbred C57BLAcetaminophenCapillaryHemodynamicsIntravital microscopyMicrovascularRed blood cell velocity

Identifiers

PMID30502365
PMCPMC6379124

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.