2012
DOI: 10.1007/s10158-012-0142-9
|View full text |Cite
|
Sign up to set email alerts
|

Quantification and analysis of ecdysis in the hornworm, Manduca sexta, using machine vision–based tracking

Abstract: We have developed a machine vision-based method for automatically tracking deformations in the body wall to monitor ecdysis behaviors in the hornworm, Manduca sexta. The method utilizes naturally-occurring features on the animal's body (spiracles) and is highly accurate (>95% success in tracking). Moreover, it is robust to unanticipated changes in the animal's position and in lighting, and in the event tracking of specific features is lost, tracking can be reestablished within a few cycles without input from t… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

0
2
0

Year Published

2014
2014
2014
2014

Publication Types

Select...
1

Relationship

1
0

Authors

Journals

citations
Cited by 1 publication
(2 citation statements)
references
References 35 publications
0
2
0
Order By: Relevance
“…Current computer-based data mining options may be the key to quantifying further behaviors (eg. Vaughan et al, 2005; Shimoide et al, 2013)…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…Current computer-based data mining options may be the key to quantifying further behaviors (eg. Vaughan et al, 2005; Shimoide et al, 2013)…”
Section: Discussionmentioning
confidence: 99%
“…Weeks and Truman, 1984a, b; Novicki and Weeks, 1993; Shimoide et al, 2013) along with the identification of key regulators (e.g. Horodyski et al, 1989; Zitnan et al, 1996; Ewer et al, 1994) has led to the generation of a model of the neural network regulating ecdysis.…”
Section: Introductionmentioning
confidence: 99%