A user friendly, cost‐effective and portable tool for locating multiple arbitrary sound sources in three‐dimensional space in real time.

2010 ◽  
Vol 127 (3) ◽  
pp. 1772-1772
Author(s):  
Na Zhu ◽  
Sean F. Wu
Keyword(s):  
Real Time ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Cost Effective ◽  
Sound Sources ◽  
User Friendly ◽  
Three Dimensional Space

Real time three-dimensional space video rate sensors for millimeter waves imaging based very inexpensive plasma LED lamps

2014 ◽  
Author(s):  
Assaf Levanon ◽  
Yitzhak Yitzhaky ◽  
Natan S. Kopeika ◽  
Daniel Rozban ◽  
Amir Abramovich
Keyword(s):  
Real Time ◽  
Millimeter Waves ◽  
Dimensional Space ◽  
Three Dimensional ◽  
Three Dimensional Space

scholarly journals BiofilmQ, a software tool for quantitative image analysis of microbial biofilm communities

2019 ◽  
Author(s):  
Raimo Hartmann ◽  
Hannah Jeckel ◽  
Eric Jelli ◽  
Praveen K. Singh ◽  
Sanika Vaidya ◽  
...  
Keyword(s):  
Dimensional Space ◽  
Three Dimensional ◽  
Software Tool ◽  
Image Cytometry ◽  
Microbial Life ◽  
Space And Time ◽  
Quantitative Image ◽  
Life On Earth ◽  
User Friendly ◽  
Three Dimensional Space

AbstractBiofilms are now considered to be the most abundant form of microbial life on Earth, playing critical roles in biogeochemical cycles, agriculture, and health care. Phenotypic and genotypic variations in biofilms generally occur in three-dimensional space and time, and biofilms are therefore often investigated using microscopy. However, the quantitative analysis of microscopy images presents a key obstacle in phenotyping biofilm communities and single-cell heterogeneity inside biofilms. Here, we present BiofilmQ, a comprehensive image cytometry software tool for the automated high-throughput quantification and visualization of 3D and 2D community properties in space and time. Using BiofilmQ does not require prior knowledge of programming or image processing and provides a user-friendly graphical user interface, resulting in editable publication-quality figures. BiofilmQ is designed for handling fluorescence images of any spatially structured microbial community and growth geometry, including microscopic, mesoscopic, macroscopic colonies and aggregates, as well as bacterial biofilms in the context of eukaryotic hosts.

BiofilmQ, a software tool for quantiative image analysis of microbial biofilm communities

2020 ◽  
Author(s):  
Hannah Jeckel ◽  
Raimo Hartmann ◽  
Eric Jelli ◽  
Knut Drescher ◽  
Keyword(s):  
Dimensional Space ◽  
Three Dimensional ◽  
Software Tool ◽  
Image Cytometry ◽  
Microbial Life ◽  
Space And Time ◽  
Life On Earth ◽  
User Friendly ◽  
Friendly Graphical User Interface ◽  
Three Dimensional Space

<p>Biofilms are now considered to be the most abundant form of microbial life on Earth, playing critical roles in biogeochemical cycles, agriculture, and health care. Phenotypic and genotypic variations in biofilms generally occur in three-dimensional space and time, and biofilms are therefore often investigated using microscopy. However, the quantitative analysis of microscopy images presents a key obstacle in phenotyping biofilm communities and single-cell heterogeneity inside biofilms. Here, we present BiofilmQ, a comprehensive image cytometry software tool for the automated high-throughput quantification and visualization of 3D and 2D community properties in space and time. Using BiofilmQ does not require prior knowledge of programming or image processing and provides a user-friendly graphical user interface, resulting in editable publication-quality figures. BiofilmQ is designed for handling fluorescence images of any spatially structured microbial community and growth geometry, including microscopic, mesoscopic, macroscopic colonies and aggregates, as well as bacterial biofilms in the context of eukaryotic hosts.</p>

SOUND SOURCE LOCALIZATION IN THREE-DIMENSIONAL SPACE IN REAL TIME WITH REDUNDANCY CHECKS

2012 ◽  
Vol 20 (01) ◽  
pp. 1250007 ◽  
Author(s):  
NA ZHU ◽  
SEAN F. WU
Keyword(s):  
Source Localization ◽  
Signal To Noise Ratio ◽  
Dimensional Space ◽  
Broad Band ◽  
Three Dimensional ◽  
Sound Sources ◽  
Detection Range ◽  
Basic Model ◽  
Improved Model ◽  
Three Dimensional Space

Triangulation is commonly used for source localization and most triangulation applications are based on intersection of the bearing direction to locate a source on a two-dimensional plane. In this paper, two new mathematical models (a basic model and an improved one) that expands the traditional triangulation concept to three-dimensional space are developed to locate multiple incoherent sound sources. The basic model uses four microphones and concentrates on solving a set of three quadratic equations simultaneously. The improved model requires more than four microphones and uses the solution from the basic model, as well as analyzing the intersection of bearing angles. Redundancy checks on the time differences of arrival are added to further reduce the source localization error in the improved model. Moreover, the input data are pre-processed and de-noised through filtering and windowing to enhance the effective signal to noise ratio. Various sound sources are tested, including transient, impulsive, continuous, broad-band, and narrow-band sounds. Numerical simulations and experimental validation using the real world sound sources are conducted. The impacts of the source direction/source detection range on the accuracy of source localization results are examined and discussed.

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