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Items: 1 to 20 of 103

1.

Illumination for worm tracking and behavioral imaging.

Yemini E, Kerr RA, Schafer WR.

Cold Spring Harb Protoc. 2011 Dec 1;2011(12):1480-2. doi: 10.1101/pdb.prot067009.

2.

Preparation of samples for single-worm tracking.

Yemini E, Kerr RA, Schafer WR.

Cold Spring Harb Protoc. 2011 Dec 1;2011(12):1475-9. doi: 10.1101/pdb.prot066993.

3.

Tracking movement behavior of multiple worms on food.

Yemini E, Kerr RA, Schafer WR.

Cold Spring Harb Protoc. 2011 Dec 1;2011(12):1483-7. doi: 10.1101/pdb.prot067025.

4.

C. elegans tracking and behavioral measurement.

Likitlersuang J, Stephens G, Palanski K, Ryu WS.

J Vis Exp. 2012 Nov 17;(69):e4094. doi: 10.3791/4094.

5.

Automated imaging of C. elegans behavior.

Cronin CJ, Feng Z, Schafer WR.

Methods Mol Biol. 2006;351:241-51. Review.

PMID:
16988438
6.

Tracking Single C. elegans Using a USB Microscope on a Motorized Stage.

Yemini EI, Brown AE.

Methods Mol Biol. 2015;1327:181-97. doi: 10.1007/978-1-4939-2842-2_13.

PMID:
26423975
7.

Automatic tracking, feature extraction and classification of C elegans phenotypes.

Geng W, Cosman P, Berry CC, Feng Z, Schafer WR.

IEEE Trans Biomed Eng. 2004 Oct;51(10):1811-20.

PMID:
15490828
8.

High-throughput behavioral analysis in C. elegans.

Swierczek NA, Giles AC, Rankin CH, Kerr RA.

Nat Methods. 2011 Jun 5;8(7):592-8. doi: 10.1038/nmeth.1625.

9.

An imaging system for standardized quantitative analysis of C. elegans behavior.

Feng Z, Cronin CJ, Wittig JH Jr, Sternberg PW, Schafer WR.

BMC Bioinformatics. 2004 Aug 26;5:115.

10.

Using machine vision to analyze and classify Caenorhabditis elegans behavioral phenotypes quantitatively.

Baek JH, Cosman P, Feng Z, Silver J, Schafer WR.

J Neurosci Methods. 2002 Jul 30;118(1):9-21.

11.

Nemo: a computational tool for analyzing nematode locomotion.

Tsibidis GD, Tavernarakis N.

BMC Neurosci. 2007 Oct 17;8:86.

12.

Computer-driven automatic identification of locomotion states in Caenorhabditis elegans.

Hoshi K, Shingai R.

J Neurosci Methods. 2006 Oct 30;157(2):355-63. Epub 2006 Jun 5.

PMID:
16750860
13.

Toward automatic behavioral screen: a computational model for analyzing Caenorhabditis elegans locomotion.

Zhou B, Baek J.

Conf Proc IEEE Eng Med Biol Soc. 2009;2009:4937-40. doi: 10.1109/IEMBS.2009.5332713.

PMID:
19963872
14.

Track-a-worm, an open-source system for quantitative assessment of C. elegans locomotory and bending behavior.

Wang SJ, Wang ZW.

PLoS One. 2013 Jul 26;8(7):e69653. doi: 10.1371/journal.pone.0069653. Print 2013.

15.

An Imaging System for C. elegans Behavior.

Churgin MA, Fang-Yen C.

Methods Mol Biol. 2015;1327:199-207. doi: 10.1007/978-1-4939-2842-2_14.

PMID:
26423976
16.

Tracking the swimming motions of C. elegans worms with applications in aging studies.

Restif C, Metaxas D.

Med Image Comput Comput Assist Interv. 2008;11(Pt 1):35-42.

PMID:
18979729
17.

The Parallel Worm Tracker: a platform for measuring average speed and drug-induced paralysis in nematodes.

Ramot D, Johnson BE, Berry TL Jr, Carnell L, Goodman MB.

PLoS One. 2008 May 21;3(5):e2208. doi: 10.1371/journal.pone.0002208.

18.

Computational Methods for Tracking, Quantitative Assessment, and Visualization of C. elegans Locomotory Behavior.

Moy K, Li W, Tran HP, Simonis V, Story E, Brandon C, Furst J, Raicu D, Kim H.

PLoS One. 2015 Dec 29;10(12):e0145870. doi: 10.1371/journal.pone.0145870. eCollection 2015.

19.

3-D worm tracker for freely moving C. elegans.

Kwon N, Pyo J, Lee SJ, Je JH.

PLoS One. 2013;8(2):e57484. doi: 10.1371/journal.pone.0057484. Epub 2013 Feb 21.

20.

Long-term imaging of circadian locomotor rhythms of a freely crawling C. elegans population.

Winbush A, Gruner M, Hennig GW, van der Linden AM.

J Neurosci Methods. 2015 Jul 15;249:66-74. doi: 10.1016/j.jneumeth.2015.04.009. Epub 2015 Apr 22.

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