Evidence map›Paper›PMID 28549411›Full record

ArticleBMC bioinformatics2017

FluoRender: joint freehand segmentation and visualization for many-channel fluorescence data analysis.

Yong Wan, Hideo Otsuna, Holly A Holman, Brig Bagley, Masayoshi Ito, A Kelsey Lewis, Mary Colasanto, Gabrielle Kardon, Kei Ito, Charles Hansen

Abstract read
In one paragraph

Article in BMC bioinformatics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing 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

26 citing papers in PubMed.

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  12. Asymmetric Presynaptic Depletion of Dopamine Neurons in aInternational journal of molecular sciences · 2023
    Article
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  20. Layered roles ofeLife · 2020
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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.

Yong WanScientific Computing and Imaging Institute, University of Utah, Salt Lake City, USA. wanyong@cs.utah.edu.ORCID http://orcid.org/0000-0002-2519-0758
Hideo OtsunaJanelia Farm Research Campus, Howard Hughes Medical Institute, Ashburn, USA.
Holly A HolmanDepartment of Bioengineering, University of Utah, Salt Lake City, USA.
Brig BagleyScientific Computing and Imaging Institute, University of Utah, Salt Lake City, USA.
Masayoshi ItoInstitute of Molecular and Cellular Biosciences, University of Tokyo, Tokyo, Japan.
A Kelsey LewisDepartment of Biology, University of Florida, Gainesville, USA.
Mary ColasantoDepartment of Human Genetics, University of Utah, Salt Lake City, USA.
Gabrielle KardonDepartment of Human Genetics, University of Utah, Salt Lake City, USA.
Kei ItoInstitute of Molecular and Cellular Biosciences, University of Tokyo, Tokyo, Japan.
Charles HansenScientific Computing and Imaging Institute, University of Utah, Salt Lake City, USA.

Funding

TRD - VisualizationP41GM103545 · NIGMS · UNIVERSITY OF UTAH · PI JURRUS, ELIZABETH · 2012 to 2019
$9.7M
Development of the Diaphragm and Congenital Diaphragmatic Hernias (CDH)R01HD087360 · NICHD · UNIVERSITY OF UTAH · PI KARDON, GABRIELLE · 2016 to 2020
$1.6M
FluoRender: Visualization-Based and Interactive Analysis for Multichannel Microscopy DataR01EB023947 · NIBIB · UNIVERSITY OF UTAH · PI HANSEN, CHARLES · 2017 to 2020
$1.4M
NIBIB NIH HHS R01 EB023947NICHD NIH HHS R01 HD087360NIGMS NIH HHS P41 GM103545
6 · The paper itself

Abstract

backgroundImage segmentation and registration techniques have enabled biologists to place large amounts of volume data from fluorescence microscopy, morphed three-dimensionally, onto a common spatial frame. Existing tools built on volume visualization pipelines for single channel or red-green-blue (RGB) channels have become inadequate for the new challenges of fluorescence microscopy. For a three-dimensional atlas of the insect nervous system, hundreds of volume channels are rendered simultaneously, whereas fluorescence intensity values from each channel need to be preserved for versatile adjustment and analysis. Although several existing tools have incorporated support of multichannel data using various strategies, the lack of a flexible design has made true many-channel visualization and analysis unavailable. The most common practice for many-channel volume data presentation is still converting and rendering pseudosurfaces, which are inaccurate for both qualitative and quantitative evaluations.

resultsHere, we present an alternative design strategy that accommodates the visualization and analysis of about 100 volume channels, each of which can be interactively adjusted, selected, and segmented using freehand tools. Our multichannel visualization includes a multilevel streaming pipeline plus a triple-buffer compositing technique. Our method also preserves original fluorescence intensity values on graphics hardware, a crucial feature that allows graphics-processing-unit (GPU)-based processing for interactive data analysis, such as freehand segmentation. We have implemented the design strategies as a thorough restructuring of our original tool, FluoRender.

conclusionThe redesign of FluoRender not only maintains the existing multichannel capabilities for a greatly extended number of volume channels, but also enables new analysis functions for many-channel data from emerging biomedical-imaging techniques.

Indexed as

SoftwareAlgorithmsAnimalsBatrachoidiformesExtremitiesEyeImage Processing, Computer-AssistedImaging, Three-DimensionalMiceMicroscopy, FluorescenceZebrafishAnalysisFluoRenderFreehand segmentationGPUsMultichannelVisualizationVolume data

Identifiers

PMID28549411
PMCPMC5446689

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.