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Development of an automated algorithm for tracking and quantifying Barnacle cyprid settlement behavior

Publication ,  Journal Article
Pradhan, NN; Gohad, NV; Orihuela, B; Burg, TC; Birchfield, ST; Rittschof, D; Mount, AS
Published in: Journal of Experimental Marine Biology and Ecology
December 15, 2011

Research focused on the development of environmentally benign antifouling technologies, novel coatings, and surfaces requires new tools for quickly and accurately evaluating these materials. Barnacle cyprid settlement assays are indispensable for estimating the fouling management potential of a coating. As coating technologies evolve to include topographies, surface active chemistries, and ligands, relying on settlement assays alone will not be enough. Understanding larval interactions and behavior with the coatings in real time is important for predicting antifouling efficacy of the coating and in turn its effects on the larvae. Manually quantifying cyprid-surface interactions from a video sequence can be laborious, highly subjective, and not amenable to high-throughput workflow requirements. Here we describe development of an automated tracking algorithm for analyzing the settlement behavior of Balanus amphitrite cyprid larvae with the aid of a lateral-view microscope equipped with a video camera. The automated algorithm uses elliptical shape models for detecting the position and orientation of larvae in the field of view and a Kalman filter based approach to automatically track the motion of the larvae over many hours of video. Behavioral heuristics are used to analyze and qualify the interaction between larvae and the surfaces. The algorithm, in an unoptimized MATLAB implementation, processes images at 11 frames per second at low median errors of 2.3. pixels and 8 for position and orientation of the cyprid respectively. The results support the use of computer vision techniques in inference and analysis of marine invertebrate larval settlement behavior. © 2011 Elsevier B.V.

Duke Scholars

Published In

Journal of Experimental Marine Biology and Ecology

DOI

ISSN

0022-0981

Publication Date

December 15, 2011

Volume

410

Start / End Page

21 / 28

Related Subject Headings

  • Marine Biology & Hydrobiology
  • 31 Biological sciences
  • 07 Agricultural and Veterinary Sciences
  • 06 Biological Sciences
  • 05 Environmental Sciences
 

Citation

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Pradhan, N. N., Gohad, N. V., Orihuela, B., Burg, T. C., Birchfield, S. T., Rittschof, D., & Mount, A. S. (2011). Development of an automated algorithm for tracking and quantifying Barnacle cyprid settlement behavior. Journal of Experimental Marine Biology and Ecology, 410, 21–28. https://doi.org/10.1016/j.jembe.2011.10.001
Pradhan, N. N., N. V. Gohad, B. Orihuela, T. C. Burg, S. T. Birchfield, D. Rittschof, and A. S. Mount. “Development of an automated algorithm for tracking and quantifying Barnacle cyprid settlement behavior.” Journal of Experimental Marine Biology and Ecology 410 (December 15, 2011): 21–28. https://doi.org/10.1016/j.jembe.2011.10.001.
Pradhan NN, Gohad NV, Orihuela B, Burg TC, Birchfield ST, Rittschof D, et al. Development of an automated algorithm for tracking and quantifying Barnacle cyprid settlement behavior. Journal of Experimental Marine Biology and Ecology. 2011 Dec 15;410:21–8.
Pradhan, N. N., et al. “Development of an automated algorithm for tracking and quantifying Barnacle cyprid settlement behavior.” Journal of Experimental Marine Biology and Ecology, vol. 410, Dec. 2011, pp. 21–28. Scopus, doi:10.1016/j.jembe.2011.10.001.
Pradhan NN, Gohad NV, Orihuela B, Burg TC, Birchfield ST, Rittschof D, Mount AS. Development of an automated algorithm for tracking and quantifying Barnacle cyprid settlement behavior. Journal of Experimental Marine Biology and Ecology. 2011 Dec 15;410:21–28.
Journal cover image

Published In

Journal of Experimental Marine Biology and Ecology

DOI

ISSN

0022-0981

Publication Date

December 15, 2011

Volume

410

Start / End Page

21 / 28

Related Subject Headings

  • Marine Biology & Hydrobiology
  • 31 Biological sciences
  • 07 Agricultural and Veterinary Sciences
  • 06 Biological Sciences
  • 05 Environmental Sciences