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Laser-induced speckle scatter patterns in Bacillus colonies

Overview of attention for article published in Frontiers in Microbiology, October 2014
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Title
Laser-induced speckle scatter patterns in Bacillus colonies
Published in
Frontiers in Microbiology, October 2014
DOI 10.3389/fmicb.2014.00537
Pubmed ID
Authors

Huisung Kim, Atul K. Singh, Arun K. Bhunia, Euiwon Bae

Abstract

Label-free bacterial colony phenotyping technology called BARDOT (Bacterial Rapid Detection using Optical scattering Technology) provided successful classification of several different bacteria at the genus, species, and serovar level. Recent experiments with colonies of Bacillus species provided strikingly different characteristics of elastic light scatter (ELS) patterns, which were comprised of random speckles compared to other bacteria, which are dominated by concentric rings and spokes. Since this laser-based optical sensor interrogates the whole volume of the colony, 3-D information of micro- and macro-structures are all encoded in the far-field scatter patterns. Here, we present a theoretical model explaining the underlying mechanism of the speckle formation by the colonies from Bacillus species. Except for Bacillus polymyxa, all Bacillus spp. produced random bright spots on the imaging plane, which presumably dependent on the cellular and molecular organization and content within the colony. Our scatter model-based analysis revealed that colony spread resulting in variable surface roughness can modify the wavefront of the scatter field. As the center diameter of the Bacillus spp. colony grew from 500 to 900 μm, average speckles area decreased two-fold and the number of small speckles increased seven-fold. In conclusion, as Bacillus colony grows, the average speckle size in the scatter pattern decreases and the number of smaller speckle increases due to the swarming growth characteristics of bacteria within the colony.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
France 1 3%
Unknown 29 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 26%
Student > Ph. D. Student 7 23%
Student > Bachelor 3 10%
Other 3 10%
Lecturer 2 6%
Other 5 16%
Unknown 3 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 7 23%
Engineering 6 19%
Physics and Astronomy 4 13%
Biochemistry, Genetics and Molecular Biology 3 10%
Medicine and Dentistry 2 6%
Other 5 16%
Unknown 4 13%
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 15 October 2014.
All research outputs
#20,239,689
of 22,766,595 outputs
Outputs from Frontiers in Microbiology
#22,258
of 24,666 outputs
Outputs of similar age
#213,545
of 255,842 outputs
Outputs of similar age from Frontiers in Microbiology
#144
of 168 outputs
Altmetric has tracked 22,766,595 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 24,666 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 168 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.