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Focus on Bio-Image Informatics

Overview of attention for book
Cover of 'Focus on Bio-Image Informatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Seeing Is Believing: Quantifying Is Convincing: Computational Image Analysis in Biology.
  3. Altmetric Badge
    Chapter 2 Image Degradation in Microscopic Images: Avoidance, Artifacts, and Solutions
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    Chapter 3 Transforms and Operators for Directional Bioimage Analysis: A Survey.
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    Chapter 4 Focus on Bio-Image Informatics
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    Chapter 5 Image Informatics Strategies for Deciphering Neuronal Network Connectivity
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    Chapter 6 Integrated High-Content Quantification of Intracellular ROS Levels and Mitochondrial Morphofunction
  8. Altmetric Badge
    Chapter 7 KNIME for Open-Source Bioimage Analysis: A Tutorial.
  9. Altmetric Badge
    Chapter 8 Focus on Bio-Image Informatics
  10. Altmetric Badge
    Chapter 9 Challenges and Benchmarks in Bioimage Analysis.
  11. Altmetric Badge
    Chapter 10 Focus on Bio-Image Informatics
Attention for Chapter 8: Focus on Bio-Image Informatics
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Citations

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Chapter title
Focus on Bio-Image Informatics
Chapter number 8
Book title
Focus on Bio-Image Informatics
Published in
Advances in anatomy embryology and cell biology, May 2016
DOI 10.1007/978-3-319-28549-8_8
Pubmed ID
27207368
Book ISBNs
978-3-31-928547-4, 978-3-31-928549-8
Authors

Haubold, Carsten, Schiegg, Martin, Kreshuk, Anna, Berg, Stuart, Koethe, Ullrich, Hamprecht, Fred A, Carsten Haubold, Martin Schiegg, Anna Kreshuk, Stuart Berg, Ullrich Koethe, Fred A. Hamprecht, Hamprecht, Fred A.

Editors

Winnok H. De Vos, Sebastian Munck, Jean-Pierre Timmermans

Abstract

Tracking crowded cells or other targets in biology is often a challenging task due to poor signal-to-noise ratio, mutual occlusion, large displacements, little discernibility, and the ability of cells to divide. We here present an open source implementation of conservation tracking (Schiegg et al., IEEE international conference on computer vision (ICCV). IEEE, New York, pp 2928-2935, 2013) in the ilastik software framework. This robust tracking-by-assignment algorithm explicitly makes allowance for false positive detections, undersegmentation, and cell division. We give an overview over the underlying algorithm and parameters, and explain the use for a light sheet microscopy sequence of a Drosophila embryo. Equipped with this knowledge, users will be able to track targets of interest in their own data.

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 102 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 102 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 23%
Student > Ph. D. Student 20 20%
Student > Master 15 15%
Student > Bachelor 9 9%
Student > Doctoral Student 5 5%
Other 13 13%
Unknown 17 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 20%
Agricultural and Biological Sciences 15 15%
Neuroscience 8 8%
Computer Science 7 7%
Physics and Astronomy 6 6%
Other 23 23%
Unknown 23 23%
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 22 May 2016.
All research outputs
#21,285,712
of 26,017,215 outputs
Outputs from Advances in anatomy embryology and cell biology
#55
of 88 outputs
Outputs of similar age
#271,516
of 353,989 outputs
Outputs of similar age from Advances in anatomy embryology and cell biology
#7
of 8 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 88 research outputs from this source. They receive a mean Attention Score of 2.6. This one is in the 22nd percentile – i.e., 22% 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 353,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.

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