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A bioimage informatics QVEST: quick, versatile and easy segmentation & tracking system

Nelson, Carl J.; Obara, Boguslaw

Authors

Carl J. Nelson

Boguslaw Obara



Abstract

Often bioimage informatics solutions are developed on a case-by-case system and, once complete, may not be developed or used in a wide spread of applications. Here we demonstrate how a single image analysis technique can be used to segment objects in different 3D microscopy images including tracking through time series, segmenting complex shapes and segmenting multiple objects in a single image, including touching or clustered objects. We have used our speedy and robust deformable mesh system to segment a variety of different objects and track them through time series of images. We have designed a vector field-driven active mesh with a novel local termination method, using directional constraints for tracking and simple pre-processing steps for different scenarios. We feel this is the first step to developing a system that is Quick, Versatile, i.e. capable of dealing with many different scenarios with equal accuracy and precision and Easy to use for a range of bioimaging Segmentation and Tracking needs: this is our QVEST.

Citation

Nelson, C. J., & Obara, B. (2014). A bioimage informatics QVEST: quick, versatile and easy segmentation & tracking system.

Conference Name Society for Experimental Biology (SEB) Manchester 2014
Conference Location Manchester, UK
Start Date Jul 1, 2014
End Date Jul 4, 2014
Publication Date Jul 1, 2014
Deposit Date Jan 16, 2015
Publisher Society for Experimental Biology
Publisher URL http://www.sebiology.org/meetings/Past_Meetings/Manchester/programmes.html
Additional Information Conference date: 1st - 4th of July 2014 Poster Session – Wednesday 2nd July 2014