Motmot specifications

Information


Unique identifier OMICS_13002
Name Motmot
Software type Toolkit/Suite
Interface Graphical user interface
Restrictions to use None
Input data Video in real-time
Operating system Unix/Linux, Mac OS, Windows
Programming languages C, Python
License BSD 3-clause “New” or “Revised” License
Computer skills Medium
Stability Stable
Source code URL http://code.astraw.com/projects/motmot/development.html
Maintained Yes

Taxon


  • Invertebrates
    • Drosophila melanogaster

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Versioning


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Documentation


Maintainer


  • person_outline Andrew D. Straw <>

Publication for Motmot

Motmot in publications

 (3)
PMCID: 3766182
PMID: 23727833
DOI: 10.1093/hmg/ddt243

[…] to a pc via an analogue capture card (integral technologies, flashbus mv lite). recordings were carried out during the same time slot. recorded videos were converted to fly movie format using the motmot package () and loaded into ctrax software () to analyse the positions of the flies throughout the video. position data for the 30-min file was exported as a matlab-compatable (mathworks) […]

PMCID: 3605831
PMID: 23307927
DOI: 10.1093/hmg/ddt005

[…] to a pc via an analog capture card (integral technologies, flashbus mv lite). recordings were carried out during the same time slot. recorded videos were converted to fly movie format using the motmot package () and loaded into ctrax software () to analyze the positions of the flies throughout the video. position data for the 30 min file was exported as a matlab-compatable (mathworks) […]

PMCID: 3030815
PMID: 20630879
DOI: 10.1098/rsif.2010.0230

[…] (e.g. ). apart from the low-level camera drivers, the same software is running on each of these systems., we used the python computer language to implement flydra. in particular, the open source motmot camera software serves as the basis for the image acquisition and real-time image processing []. the motmot.libcamiface documentation contains information about what cameras are compatible, […]


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Motmot institution(s)
Bioengineering, California Institute of Technology, Pasadena, CA, USA
Motmot funding source(s)
This work was supported by grants from AFOSR (FA9550-06-1-0079), and ARO (W911NF-09-D-0001 and DAAD 19-03-D-0004), and the NIH (R01DA022777-04).

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