↓ Skip to main content

Virtual reality assisted microscopy data visualization and colocalization analysis

Overview of attention for article published in BMC Bioinformatics, February 2017
Altmetric Badge

About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users
video
1 YouTube creator

Citations

dimensions_citation
39 Dimensions

Readers on

mendeley
75 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Virtual reality assisted microscopy data visualization and colocalization analysis
Published in
BMC Bioinformatics, February 2017
DOI 10.1186/s12859-016-1446-2
Pubmed ID
Authors

Rensu P. Theart, Ben Loos, Thomas R. Niesler

Abstract

Confocal microscopes deliver detailed three-dimensional data and are instrumental in biological analysis and research. Usually, this three-dimensional data is rendered as a projection onto a two-dimensional display. We describe a system for rendering such data using a modern virtual reality (VR) headset. Sample manipulation is possible by fully-immersive hand-tracking and also by means of a conventional gamepad. We apply this system to the specific task of colocalization analysis, an important analysis tool in biological microscopy. We evaluate our system by means of a set of user trials. The user trials show that, despite inaccuracies which still plague the hand tracking, this is the most productive and intuitive interface. The inaccuracies nevertheless lead to a perception among users that productivity is low, resulting in a subjective preference for the gamepad. Fully-immersive manipulation was shown to be particularly effective when defining a region of interest (ROI) for colocalization analysis. Virtual reality offers an attractive and powerful means of visualization for microscopy data. Fully immersive interfaces using hand tracking show the highest levels of intuitiveness and consequent productivity. However, current inaccuracies in hand tracking performance still lead to a disproportionately critical user perception.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Luxembourg 1 1%
Unknown 74 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 13 17%
Researcher 9 12%
Student > Ph. D. Student 8 11%
Student > Doctoral Student 6 8%
Student > Bachelor 6 8%
Other 13 17%
Unknown 20 27%
Readers by discipline Count As %
Computer Science 14 19%
Engineering 9 12%
Biochemistry, Genetics and Molecular Biology 7 9%
Agricultural and Biological Sciences 4 5%
Business, Management and Accounting 3 4%
Other 14 19%
Unknown 24 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 October 2017.
All research outputs
#14,083,124
of 23,005,189 outputs
Outputs from BMC Bioinformatics
#4,496
of 7,312 outputs
Outputs of similar age
#240,292
of 454,591 outputs
Outputs of similar age from BMC Bioinformatics
#78
of 149 outputs
Altmetric has tracked 23,005,189 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,312 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 35th percentile – i.e., 35% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 454,591 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.