Evidence map›Paper›PMID 25475129›Full record

ArticleScientific reports2014

In vivo flow mapping in complex vessel networks by single image correlation.

Laura Sironi, Margaux Bouzin, Donato Inverso, Laura D'Alfonso, Paolo Pozzi, Franco Cotelli, Luca G Guidotti, Matteo Iannacone, Maddalena Collini, Giuseppe Chirico

Abstract read
In one paragraph

Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Measuring capillary flow dynamics using interlaced two-photon volumetric scanning.Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2023
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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

10 authors.

Laura SironiUniversità degli Studi di Milano-Bicocca, Physics Department, Piazza della Scienza 3, I-20126, Milan, Italy.
Margaux BouzinUniversità degli Studi di Milano-Bicocca, Physics Department, Piazza della Scienza 3, I-20126, Milan, Italy.
Donato Inverso1] Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, I-20132, Milan, Italy [2] Vita-Salute San Raffaele University, I-20132, Milan, Italy.
Laura D'AlfonsoUniversità degli Studi di Milano-Bicocca, Physics Department, Piazza della Scienza 3, I-20126, Milan, Italy.
Paolo PozziUniversità degli Studi di Milano-Bicocca, Physics Department, Piazza della Scienza 3, I-20126, Milan, Italy.
Franco CotelliUniversità degli Studi di Milano, Department of Life Sciences, Via Celoria 26, I-20133, Milan, Italy.
Luca G GuidottiDivision of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, I-20132, Milan, Italy.
Matteo Iannacone1] Division of Immunology, Transplantation and Infectious Diseases, IRCCS San Raffaele Scientific Institute, I-20132, Milan, Italy [2] Vita-Salute San Raffaele University, I-20132, Milan, Italy.
Maddalena ColliniUniversità degli Studi di Milano-Bicocca, Physics Department, Piazza della Scienza 3, I-20126, Milan, Italy.
Giuseppe ChiricoUniversità degli Studi di Milano-Bicocca, Physics Department, Piazza della Scienza 3, I-20126, Milan, Italy.

Funding

Regulation of HBV Replication by the Immune SystemR01AI040696 · NIAID · SCRIPPS RESEARCH INSTITUTE, THE · PI GUIDOTTI, LUCA G. · 1997 to 2012
$5.2M
European Research Council 250219European Research Council 281648NIAID NIH HHS R01 AI040696
6 · The paper itself

Abstract

We describe a novel method (FLICS, FLow Image Correlation Spectroscopy) to extract flow speeds in complex vessel networks from a single raster-scanned optical xy-image, acquired in vivo by confocal or two-photon excitation microscopy. Fluorescent flowing objects produce diagonal lines in the raster-scanned image superimposed to static morphological details. The flow velocity is obtained by computing the Cross Correlation Function (CCF) of the intensity fluctuations detected in pairs of columns of the image. The analytical expression of the CCF has been derived by applying scanning fluorescence correlation concepts to drifting optically resolved objects and the theoretical framework has been validated in systems of increasing complexity. The power of the technique is revealed by its application to the intricate murine hepatic microcirculatory system where blood flow speed has been mapped simultaneously in several capillaries from a single xy-image and followed in time at high spatial and temporal resolution.

Indexed as

AnimalsBlood Flow VelocityCapillariesImage Interpretation, Computer-AssistedMiceMicrocirculationMicroscopy, ConfocalMicroscopy, FluorescenceReproducibility of ResultsRheologySensitivity and SpecificityStatistics as TopicZebrafish

Identifiers

PMID25475129
PMCPMC4256590

What OpenQuestion holds

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Registered trials

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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.