Sample drift correction following 4D confocal time-lapse imaging.

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Journal of Visualized Experiments: JoVE. 2014 Apr 12;(86). doi: 10.3791/51086

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Sample drift correction following 4D confocal time-lapse imaging. Cardona Lab

Parslow A, Cardona A, Bryson-Richardson RJ

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Abstract

The generation of four-dimensional (4D) confocal datasets; consisting of 3D image sequences over time; provides an excellent methodology to capture cellular behaviors involved in developmental processes. The ability to track and follow cell movements is limited by sample movements that occur due to drift of the sample or, in some cases, growth during image acquisition. Tracking cells in datasets affected by drift and/or growth will incorporate these movements into any analysis of cell position. This may result in the apparent movement of static structures within the sample. Therefore prior to cell tracking, any sample drift should be corrected. Using the open source Fiji distribution (1) of ImageJ (2,3) and the incorporated LOCI tools (4), we developed the Correct 3D drift plug-in to remove erroneous sample movement in confocal datasets. This protocol effectively compensates for sample translation or alterations in focal position by utilizing phase correlation to register each time-point of a four-dimensional confocal datasets while maintaining the ability to visualize and measure cell movements over extended time-lapse experiments.

PMID: 24747942 [PubMed - indexed for MEDLINE]

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Sample drift correction following 4D confocal time-lapse imaging.

Abstract

PMID: 24747942 [PubMed - indexed for MEDLINE]

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