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Interactive visual exploration of overlapping similar structures for three-dimensional microscope images

Overview of attention for article published in BMC Bioinformatics, December 2014
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Title
Interactive visual exploration of overlapping similar structures for three-dimensional microscope images
Published in
BMC Bioinformatics, December 2014
DOI 10.1186/s12859-014-0415-x
Pubmed ID
Authors

Megumi Nakao, Shintaro Takemoto, Tadao Sugiura, Kazuaki Sawada, Ryosuke Kawakami, Tomomi Nemoto, Tetsuya Matsuda

Abstract

BackgroundRecent advances in microscopy enable the acquisition of large numbers of tomographic images from living tissues. Three-dimensional microscope images are often displayed with volume rendering by adjusting the transfer functions. However, because the emissions from fluorescent materials and the optical properties based on point spread functions affect the imaging results, the intensity value can differ locally, even in the same structure. Further, images obtained from brain tissues contain a variety of neural structures such as dendrites and axons with complex crossings and overlapping linear structures. In these cases, the transfer functions previously used fail to optimize image generation, making it difficult to explore the connectivity of these tissues.ResultsThis paper proposes an interactive visual exploration method by which the transfer functions are modified locally and interactively based on multidimensional features in the images. A direct editing interface is also provided to specify both the target region and structures with characteristic features, where all manual operations can be performed on the rendered image. This method is demonstrated using two-photon microscope images acquired from living mice, and is shown to be an effective method for interactive visual exploration of overlapping similar structures.ConclusionsAn interactive visualization method was introduced for local improvement of visualization by volume rendering in two-photon microscope images containing regions in which linear nerve structures crisscross in a complex manner. The proposed method is characterized by the localized multidimensional transfer function and interface where the parameters can be determined by the user to suit their particular visualization requirements.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 32%
Professor > Associate Professor 3 16%
Researcher 3 16%
Student > Doctoral Student 2 11%
Student > Bachelor 2 11%
Other 2 11%
Unknown 1 5%
Readers by discipline Count As %
Computer Science 8 42%
Agricultural and Biological Sciences 3 16%
Neuroscience 2 11%
Engineering 2 11%
Social Sciences 1 5%
Other 2 11%
Unknown 1 5%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 20 December 2014.
All research outputs
#18,387,239
of 22,775,504 outputs
Outputs from BMC Bioinformatics
#6,306
of 7,276 outputs
Outputs of similar age
#255,848
of 353,125 outputs
Outputs of similar age from BMC Bioinformatics
#141
of 153 outputs
Altmetric has tracked 22,775,504 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,276 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 5th percentile – i.e., 5% of its peers scored the same or lower than it.
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We're also able to compare this research output to 153 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.