TumbleScore: Run and Tumble Analysis for Low Frame-Rate Motility Videos
Author(s) -
Alex Eli Pottash,
Ryan T. McKay,
Chelsea Virgile,
Hana Ueda,
William E. Bentley
Publication year - 2017
Publication title -
biotechniques
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.617
H-Index - 131
eISSN - 1940-9818
pISSN - 0736-6205
DOI - 10.2144/000114493
Subject(s) - motility , software , computer science , exploit , matlab , frame rate , rotation (mathematics) , computer vision , biological system , simulation , artificial intelligence , biology , genetics , computer security , programming language , operating system
Scientists often exploit the motility of peritrichously flagellated bacteria for various applications. A common alteration is modifying the frequency of mid-movement changes in direction, known as tumbles. Such differences in bacterial swimming patterns can prove difficult to quantify, especially for those without access to high-speed optical equipment. Traditionally, scientists have resorted to less accurate techniques, such as soft agar plate assays, or have been forced to invest in costly equipment. Here, we present TumbleScore, software designed to track and quantify bacterial movies with slow, as well as fast, frame-rates. Developed and fully contained within MATLAB, TumbleScore processes motility videos and returns pertinent tumbling metrics, including: ( i ) linear speed, ( ii ) rotational speed, ( iii ) percentage of angle changes below a given threshold, and ( iv ) ratio of total path length to Euclidian distance, or arc-chord ratio (ACR). In addition, TumbleScore produces a "rose graph" visualization of bacterial paths. The software was validated using both fabricated and experimental motility videos.
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